From c052601c9050d97e7eccfa96149e3faf79b264f2 Mon Sep 17 00:00:00 2001
From: Andrea Mannocci <andremann@libero.it>
Date: Tue, 6 Jul 2021 15:23:24 +0200
Subject: [PATCH] restructured analysis

---
 notebooks/01-Explorative.ipynb | 6936 +++++++++++++-------------------
 1 file changed, 2882 insertions(+), 4054 deletions(-)

diff --git a/notebooks/01-Explorative.ipynb b/notebooks/01-Explorative.ipynb
index af4a892..dc6fe31 100644
--- a/notebooks/01-Explorative.ipynb
+++ b/notebooks/01-Explorative.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,22 +14,59 @@
     "import numpy as np\n",
     "import pandas as pd\n",
     "\n",
+    "import pycountry_convert\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "from matplotlib_venn import venn2, venn2_circles\n",
+    "\n",
     "import plotly\n",
     "from plotly.offline import iplot, init_notebook_mode\n",
     "import plotly.graph_objs as go\n",
     "import plotly.express as px"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def country_to_countrycode(country):\n",
+    "    if pd.isna(country):\n",
+    "        return np.nan\n",
+    "    else:\n",
+    "        try:\n",
+    "            return pycountry_convert.country_name_to_country_alpha2(country)\n",
+    "        except:\n",
+    "            return np.nan\n",
+    "\n",
+    "def countrycode_to_continent(country_code):\n",
+    "    if pd.isna(country_code):\n",
+    "        return np.nan\n",
+    "    else:\n",
+    "        try:\n",
+    "            return pycountry_convert.country_alpha2_to_continent_code(country_code)\n",
+    "        except:\n",
+    "            return np.nan"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# FAIRsharing"
+    "## Loading datasets"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**FAIRsharing**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -148,7 +185,7 @@
        "4                                     [Life Science]  "
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -164,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -217,10 +254,10 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>top</th>\n",
-       "      <td>The Cardiovascular Research Grid</td>\n",
+       "      <td>FunTree: A Resource For Exploring The Function...</td>\n",
        "      <td>CGD</td>\n",
-       "      <td>https://fairsharing.org/bsg-d001750</td>\n",
-       "      <td>http://www.bmrb.wisc.edu/</td>\n",
+       "      <td>https://fairsharing.org/10.25504/FAIRsharing.5...</td>\n",
+       "      <td>https://idn.ceos.org</td>\n",
        "      <td>[United States]</td>\n",
        "      <td>[Life Science]</td>\n",
        "    </tr>\n",
@@ -238,26 +275,26 @@
        "</div>"
       ],
       "text/plain": [
-       "                               full_name short_name  \\\n",
-       "count                               1752       1752   \n",
-       "unique                              1752       1741   \n",
-       "top     The Cardiovascular Research Grid        CGD   \n",
-       "freq                                   1          3   \n",
+       "                                                full_name short_name  \\\n",
+       "count                                                1752       1752   \n",
+       "unique                                               1752       1741   \n",
+       "top     FunTree: A Resource For Exploring The Function...        CGD   \n",
+       "freq                                                    1          3   \n",
        "\n",
-       "                                     fs_url                        url  \\\n",
-       "count                                  1752                       1752   \n",
-       "unique                                 1752                       1752   \n",
-       "top     https://fairsharing.org/bsg-d001750  http://www.bmrb.wisc.edu/   \n",
-       "freq                                      1                          1   \n",
+       "                                                   fs_url  \\\n",
+       "count                                                1752   \n",
+       "unique                                               1752   \n",
+       "top     https://fairsharing.org/10.25504/FAIRsharing.5...   \n",
+       "freq                                                    1   \n",
        "\n",
-       "              countries        subjects  \n",
-       "count              1749            1690  \n",
-       "unique              178             834  \n",
-       "top     [United States]  [Life Science]  \n",
-       "freq                588             367  "
+       "                         url        countries        subjects  \n",
+       "count                   1752             1749            1690  \n",
+       "unique                  1752              178             834  \n",
+       "top     https://idn.ceos.org  [United States]  [Life Science]  \n",
+       "freq                       1              588             367  "
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -266,9 +303,1096 @@
     "fairsharing_df.describe()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**re3data**"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>id</th>\n",
+       "      <th>url</th>\n",
+       "      <th>official_name</th>\n",
+       "      <th>english_name</th>\n",
+       "      <th>description</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>subjects</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>4</td>\n",
+       "      <td>10|re3data_____::3f2e20af26ead0432f5470d8b739638d</td>\n",
+       "      <td>http://planttfdb.cbi.pku.edu.cn/</td>\n",
+       "      <td>Plant Transcription Factor Database</td>\n",
+       "      <td>PlantTFDB</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>['Life Sciences', 'Basic Biological and Medica...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>7</td>\n",
+       "      <td>10|re3data_____::e1db3f9d2fa6c8d8067bc471ab50bdfc</td>\n",
+       "      <td>https://spdf.gsfc.nasa.gov/</td>\n",
+       "      <td>Space Physics Data Facility</td>\n",
+       "      <td>NASA's Space Physics Data Facility SPDF</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>['Natural Sciences', 'Astrophysics and Astrono...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>13</td>\n",
+       "      <td>10|re3data_____::59521daca59ac29b811343cc4cd370cf</td>\n",
+       "      <td>http://card.westgis.ac.cn/</td>\n",
+       "      <td>Cold and Arid Regions Science Data Center at L...</td>\n",
+       "      <td>CARD WDC for Glaciology and Geocryology World ...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>['Natural Sciences', 'Geosciences (including G...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>14</td>\n",
+       "      <td>10|re3data_____::ec1ba1674c852466c266acb64c618d15</td>\n",
+       "      <td>https://www.psycharchives.org/</td>\n",
+       "      <td>Psycharchives</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>['Humanities and Social Sciences', 'Psychology...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>19</td>\n",
+       "      <td>10|re3data_____::2ada591fb1bc9aee72a6d3e0c1ae8a76</td>\n",
+       "      <td>https://www.ihfc-iugg.org/products/global-heat...</td>\n",
+       "      <td>The Global Heat Flow Database of the Internati...</td>\n",
+       "      <td>International Heat-flow Database</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>['Natural Sciences', 'Geology and Palaeontolog...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   index                                                 id  \\\n",
+       "0      4  10|re3data_____::3f2e20af26ead0432f5470d8b739638d   \n",
+       "1      7  10|re3data_____::e1db3f9d2fa6c8d8067bc471ab50bdfc   \n",
+       "2     13  10|re3data_____::59521daca59ac29b811343cc4cd370cf   \n",
+       "3     14  10|re3data_____::ec1ba1674c852466c266acb64c618d15   \n",
+       "4     19  10|re3data_____::2ada591fb1bc9aee72a6d3e0c1ae8a76   \n",
+       "\n",
+       "                                                 url  \\\n",
+       "0                   http://planttfdb.cbi.pku.edu.cn/   \n",
+       "1                        https://spdf.gsfc.nasa.gov/   \n",
+       "2                         http://card.westgis.ac.cn/   \n",
+       "3                     https://www.psycharchives.org/   \n",
+       "4  https://www.ihfc-iugg.org/products/global-heat...   \n",
+       "\n",
+       "                                       official_name  \\\n",
+       "0                Plant Transcription Factor Database   \n",
+       "1                        Space Physics Data Facility   \n",
+       "2  Cold and Arid Regions Science Data Center at L...   \n",
+       "3                                      Psycharchives   \n",
+       "4  The Global Heat Flow Database of the Internati...   \n",
+       "\n",
+       "                                        english_name description  latitude  \\\n",
+       "0                                          PlantTFDB         NaN       0.0   \n",
+       "1            NASA's Space Physics Data Facility SPDF         NaN       0.0   \n",
+       "2  CARD WDC for Glaciology and Geocryology World ...         NaN       0.0   \n",
+       "3                                                NaN         NaN       0.0   \n",
+       "4                   International Heat-flow Database         NaN       0.0   \n",
+       "\n",
+       "   longitude                                           subjects  \n",
+       "0        0.0  ['Life Sciences', 'Basic Biological and Medica...  \n",
+       "1        0.0  ['Natural Sciences', 'Astrophysics and Astrono...  \n",
+       "2        0.0  ['Natural Sciences', 'Geosciences (including G...  \n",
+       "3        0.0  ['Humanities and Social Sciences', 'Psychology...  \n",
+       "4        0.0  ['Natural Sciences', 'Geology and Palaeontolog...  "
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "re3data_df = pd.read_csv('../data/raw/re3data_opendoar.csv')\n",
+    "re3data_df = re3data_df[re3data_df.id.str.contains('re3data')].reset_index()\n",
+    "re3data_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>id</th>\n",
+       "      <th>url</th>\n",
+       "      <th>official_name</th>\n",
+       "      <th>english_name</th>\n",
+       "      <th>description</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>subjects</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>2693.000000</td>\n",
+       "      <td>2693</td>\n",
+       "      <td>2673</td>\n",
+       "      <td>2693</td>\n",
+       "      <td>2034</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2693.000000</td>\n",
+       "      <td>2693.000000</td>\n",
+       "      <td>2693</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2693</td>\n",
+       "      <td>2661</td>\n",
+       "      <td>2668</td>\n",
+       "      <td>2010</td>\n",
+       "      <td>38</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10|re3data_____::fc8141eebc533cb225498718479f4e66</td>\n",
+       "      <td>http://wdcpc.org/</td>\n",
+       "      <td>European Climate Assessment &amp; Dataset project</td>\n",
+       "      <td>ECA&amp;D</td>\n",
+       "      <td>The Atmospheric Science Data Center (ASDC) at ...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>['Humanities and Social Sciences', 'Life Scien...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>209</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4443.650947</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.114497</td>\n",
+       "      <td>0.067998</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2518.294468</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.585469</td>\n",
+       "      <td>2.447173</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2266.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>4506.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6660.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>8705.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>234.000000</td>\n",
+       "      <td>123.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              index                                                 id  \\\n",
+       "count   2693.000000                                               2693   \n",
+       "unique          NaN                                               2693   \n",
+       "top             NaN  10|re3data_____::fc8141eebc533cb225498718479f4e66   \n",
+       "freq            NaN                                                  1   \n",
+       "mean    4443.650947                                                NaN   \n",
+       "std     2518.294468                                                NaN   \n",
+       "min        4.000000                                                NaN   \n",
+       "25%     2266.000000                                                NaN   \n",
+       "50%     4506.000000                                                NaN   \n",
+       "75%     6660.000000                                                NaN   \n",
+       "max     8705.000000                                                NaN   \n",
+       "\n",
+       "                      url                                  official_name  \\\n",
+       "count                2673                                           2693   \n",
+       "unique               2661                                           2668   \n",
+       "top     http://wdcpc.org/  European Climate Assessment & Dataset project   \n",
+       "freq                    2                                              2   \n",
+       "mean                  NaN                                            NaN   \n",
+       "std                   NaN                                            NaN   \n",
+       "min                   NaN                                            NaN   \n",
+       "25%                   NaN                                            NaN   \n",
+       "50%                   NaN                                            NaN   \n",
+       "75%                   NaN                                            NaN   \n",
+       "max                   NaN                                            NaN   \n",
+       "\n",
+       "       english_name                                        description  \\\n",
+       "count          2034                                                 38   \n",
+       "unique         2010                                                 38   \n",
+       "top           ECA&D  The Atmospheric Science Data Center (ASDC) at ...   \n",
+       "freq              2                                                  1   \n",
+       "mean            NaN                                                NaN   \n",
+       "std             NaN                                                NaN   \n",
+       "min             NaN                                                NaN   \n",
+       "25%             NaN                                                NaN   \n",
+       "50%             NaN                                                NaN   \n",
+       "75%             NaN                                                NaN   \n",
+       "max             NaN                                                NaN   \n",
+       "\n",
+       "           latitude    longitude  \\\n",
+       "count   2693.000000  2693.000000   \n",
+       "unique          NaN          NaN   \n",
+       "top             NaN          NaN   \n",
+       "freq            NaN          NaN   \n",
+       "mean       0.114497     0.067998   \n",
+       "std        4.585469     2.447173   \n",
+       "min        0.000000     0.000000   \n",
+       "25%        0.000000     0.000000   \n",
+       "50%        0.000000     0.000000   \n",
+       "75%        0.000000     0.000000   \n",
+       "max      234.000000   123.000000   \n",
+       "\n",
+       "                                                 subjects  \n",
+       "count                                                2693  \n",
+       "unique                                               1427  \n",
+       "top     ['Humanities and Social Sciences', 'Life Scien...  \n",
+       "freq                                                  209  \n",
+       "mean                                                  NaN  \n",
+       "std                                                   NaN  \n",
+       "min                                                   NaN  \n",
+       "25%                                                   NaN  \n",
+       "50%                                                   NaN  \n",
+       "75%                                                   NaN  \n",
+       "max                                                   NaN  "
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "re3data_df.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**OpenDOAR**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>id</th>\n",
+       "      <th>url</th>\n",
+       "      <th>official_name</th>\n",
+       "      <th>english_name</th>\n",
+       "      <th>description</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>subjects</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>10|opendoar____::e833e042f509c996b1b25324d56659fb</td>\n",
+       "      <td>http://www.bilbao.net/bld</td>\n",
+       "      <td>BLD - Bilboko Liburutegi Digitala</td>\n",
+       "      <td>BLD - Bilboko Liburutegi Digitala</td>\n",
+       "      <td>BLD is a repository of digital documents, desi...</td>\n",
+       "      <td>43.256699</td>\n",
+       "      <td>-2.924100</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>10|opendoar____::f621585df244e9596dc70a39b579efb1</td>\n",
+       "      <td>https://researchdirect.westernsydney.edu.au/</td>\n",
+       "      <td>Western Sydney ResearchDirect</td>\n",
+       "      <td>Western Sydney ResearchDirect</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>10|opendoar____::437d7d1d97917cd627a34a6a0fb41136</td>\n",
+       "      <td>http://redress.lancs.ac.uk/Learning_Space/</td>\n",
+       "      <td>Learning Space Catalogue</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>This repository is a Social Science e-Science ...</td>\n",
+       "      <td>54.010760</td>\n",
+       "      <td>-2.784990</td>\n",
+       "      <td>['Social Sciences General', 'Science General',...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>10|opendoar____::d840cc5d906c3e9c84374c8919d2074e</td>\n",
+       "      <td>http://digitallibrary.usc.edu/search/controlle...</td>\n",
+       "      <td>USC Digital Library</td>\n",
+       "      <td>USC Digital Library</td>\n",
+       "      <td>This is an institutional repository providing ...</td>\n",
+       "      <td>34.052200</td>\n",
+       "      <td>-118.242996</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>10|opendoar____::4ba3c163cd1efd4c14e3a415fa0a3010</td>\n",
+       "      <td>http://www.ufgd.edu.br:8080/jspui/</td>\n",
+       "      <td>Repositório de Divulgação das Produções Cientí...</td>\n",
+       "      <td>Repositório de Divulgação das Produções Cientí...</td>\n",
+       "      <td>This site provides access to the research outp...</td>\n",
+       "      <td>-22.221800</td>\n",
+       "      <td>-54.806400</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   index                                                 id  \\\n",
+       "0      0  10|opendoar____::e833e042f509c996b1b25324d56659fb   \n",
+       "1      1  10|opendoar____::f621585df244e9596dc70a39b579efb1   \n",
+       "2      2  10|opendoar____::437d7d1d97917cd627a34a6a0fb41136   \n",
+       "3      3  10|opendoar____::d840cc5d906c3e9c84374c8919d2074e   \n",
+       "4      5  10|opendoar____::4ba3c163cd1efd4c14e3a415fa0a3010   \n",
+       "\n",
+       "                                                 url  \\\n",
+       "0                          http://www.bilbao.net/bld   \n",
+       "1       https://researchdirect.westernsydney.edu.au/   \n",
+       "2         http://redress.lancs.ac.uk/Learning_Space/   \n",
+       "3  http://digitallibrary.usc.edu/search/controlle...   \n",
+       "4                 http://www.ufgd.edu.br:8080/jspui/   \n",
+       "\n",
+       "                                       official_name  \\\n",
+       "0                  BLD - Bilboko Liburutegi Digitala   \n",
+       "1                      Western Sydney ResearchDirect   \n",
+       "2                           Learning Space Catalogue   \n",
+       "3                                USC Digital Library   \n",
+       "4  Repositório de Divulgação das Produções Cientí...   \n",
+       "\n",
+       "                                        english_name  \\\n",
+       "0                  BLD - Bilboko Liburutegi Digitala   \n",
+       "1                      Western Sydney ResearchDirect   \n",
+       "2                                                NaN   \n",
+       "3                                USC Digital Library   \n",
+       "4  Repositório de Divulgação das Produções Cientí...   \n",
+       "\n",
+       "                                         description   latitude   longitude  \\\n",
+       "0  BLD is a repository of digital documents, desi...  43.256699   -2.924100   \n",
+       "1                                                NaN   0.000000    0.000000   \n",
+       "2  This repository is a Social Science e-Science ...  54.010760   -2.784990   \n",
+       "3  This is an institutional repository providing ...  34.052200 -118.242996   \n",
+       "4  This site provides access to the research outp... -22.221800  -54.806400   \n",
+       "\n",
+       "                                            subjects  \n",
+       "0                                                 []  \n",
+       "1                                                 []  \n",
+       "2  ['Social Sciences General', 'Science General',...  \n",
+       "3                                                 []  \n",
+       "4                                                 []  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "opendoar_df = pd.read_csv('../data/raw/re3data_opendoar.csv')\n",
+    "opendoar_df = opendoar_df[opendoar_df.id.str.contains('opendoar')].reset_index()\n",
+    "opendoar_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>index</th>\n",
+       "      <th>id</th>\n",
+       "      <th>url</th>\n",
+       "      <th>official_name</th>\n",
+       "      <th>english_name</th>\n",
+       "      <th>description</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>subjects</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>6014.000000</td>\n",
+       "      <td>6014</td>\n",
+       "      <td>6013</td>\n",
+       "      <td>6014</td>\n",
+       "      <td>5500</td>\n",
+       "      <td>5776</td>\n",
+       "      <td>6014.000000</td>\n",
+       "      <td>6014.000000</td>\n",
+       "      <td>6014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>unique</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>6014</td>\n",
+       "      <td>5953</td>\n",
+       "      <td>5946</td>\n",
+       "      <td>5413</td>\n",
+       "      <td>4920</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>201</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>10|opendoar____::17256f049f1e3fede17c7a313f7657f4</td>\n",
+       "      <td>http://harp.lib.hiroshima-u.ac.jp/</td>\n",
+       "      <td>Hiroshima Associated Repository Portal</td>\n",
+       "      <td>AURA</td>\n",
+       "      <td>This site provides access to the research outp...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>[]</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>freq</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>4</td>\n",
+       "      <td>98</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>5273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>4312.407549</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>38.649393</td>\n",
+       "      <td>7.810948</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>2510.699848</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>788.406173</td>\n",
+       "      <td>71.689788</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>-79.029999</td>\n",
+       "      <td>-683.103027</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2129.250000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>4.644632</td>\n",
+       "      <td>-49.273300</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>4297.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>37.930449</td>\n",
+       "      <td>4.788870</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>6476.750000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>47.294400</td>\n",
+       "      <td>30.685501</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>8706.000000</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>61138.800781</td>\n",
+       "      <td>178.438995</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              index                                                 id  \\\n",
+       "count   6014.000000                                               6014   \n",
+       "unique          NaN                                               6014   \n",
+       "top             NaN  10|opendoar____::17256f049f1e3fede17c7a313f7657f4   \n",
+       "freq            NaN                                                  1   \n",
+       "mean    4312.407549                                                NaN   \n",
+       "std     2510.699848                                                NaN   \n",
+       "min        0.000000                                                NaN   \n",
+       "25%     2129.250000                                                NaN   \n",
+       "50%     4297.000000                                                NaN   \n",
+       "75%     6476.750000                                                NaN   \n",
+       "max     8706.000000                                                NaN   \n",
+       "\n",
+       "                                       url  \\\n",
+       "count                                 6013   \n",
+       "unique                                5953   \n",
+       "top     http://harp.lib.hiroshima-u.ac.jp/   \n",
+       "freq                                     3   \n",
+       "mean                                   NaN   \n",
+       "std                                    NaN   \n",
+       "min                                    NaN   \n",
+       "25%                                    NaN   \n",
+       "50%                                    NaN   \n",
+       "75%                                    NaN   \n",
+       "max                                    NaN   \n",
+       "\n",
+       "                                 official_name english_name  \\\n",
+       "count                                     6014         5500   \n",
+       "unique                                    5946         5413   \n",
+       "top     Hiroshima Associated Repository Portal         AURA   \n",
+       "freq                                         3            4   \n",
+       "mean                                       NaN          NaN   \n",
+       "std                                        NaN          NaN   \n",
+       "min                                        NaN          NaN   \n",
+       "25%                                        NaN          NaN   \n",
+       "50%                                        NaN          NaN   \n",
+       "75%                                        NaN          NaN   \n",
+       "max                                        NaN          NaN   \n",
+       "\n",
+       "                                              description      latitude  \\\n",
+       "count                                                5776   6014.000000   \n",
+       "unique                                               4920           NaN   \n",
+       "top     This site provides access to the research outp...           NaN   \n",
+       "freq                                                   98           NaN   \n",
+       "mean                                                  NaN     38.649393   \n",
+       "std                                                   NaN    788.406173   \n",
+       "min                                                   NaN    -79.029999   \n",
+       "25%                                                   NaN      4.644632   \n",
+       "50%                                                   NaN     37.930449   \n",
+       "75%                                                   NaN     47.294400   \n",
+       "max                                                   NaN  61138.800781   \n",
+       "\n",
+       "          longitude subjects  \n",
+       "count   6014.000000     6014  \n",
+       "unique          NaN      201  \n",
+       "top             NaN       []  \n",
+       "freq            NaN     5273  \n",
+       "mean       7.810948      NaN  \n",
+       "std       71.689788      NaN  \n",
+       "min     -683.103027      NaN  \n",
+       "25%      -49.273300      NaN  \n",
+       "50%        4.788870      NaN  \n",
+       "75%       30.685501      NaN  \n",
+       "max      178.438995      NaN  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "opendoar_df.describe(include='all')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Basic cleaning"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**re3data**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "re3data_df.loc[(re3data_df.latitude == 0.0) & (re3data_df.longitude == 0.0), ['latitude', 'longitude']] = [np.nan, np.nan]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0       ['Life Sciences', 'Basic Biological and Medica...\n",
+       "1       ['Natural Sciences', 'Astrophysics and Astrono...\n",
+       "2       ['Natural Sciences', 'Geosciences (including G...\n",
+       "3       ['Humanities and Social Sciences', 'Psychology...\n",
+       "4       ['Natural Sciences', 'Geology and Palaeontolog...\n",
+       "                              ...                        \n",
+       "2688    ['Life Sciences', 'Basic Biological and Medica...\n",
+       "2689    ['Natural Sciences', 'Atmospheric Science and ...\n",
+       "2690    ['Natural Sciences', 'Atmospheric Science and ...\n",
+       "2691    ['Natural Sciences', 'Atmospheric Science and ...\n",
+       "2692    ['Life Sciences', 'Plant Sciences', 'Plant Gen...\n",
+       "Name: subjects, Length: 2693, dtype: object"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "re3data_df.subjects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "re3data_df['subjects'] = re3data_df.subjects.apply(lambda x: ast.literal_eval(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def merge_lists(lists):\n",
+    "    res = []\n",
+    "    for l in lists:\n",
+    "        res = res + l\n",
+    "    return res\n",
+    "\n",
+    "re3data_cleaned_subjects = re3data_df.explode('subjects').subjects.str.split(',| and ', expand=True)\\\n",
+    "                                .apply(lambda row: row.dropna().tolist(), axis=1)\\\n",
+    "                                .reset_index()\\\n",
+    "                                .groupby('index')[0].apply(lambda x: merge_lists(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "index\n",
+       "0       [Life Sciences, Basic Biological, Medical Rese...\n",
+       "1       [Natural Sciences, Astrophysics, Astronomy, Ph...\n",
+       "2       [Natural Sciences, Geosciences (including Geog...\n",
+       "3       [Humanities, Social Sciences, Psychology, Soci...\n",
+       "4       [Natural Sciences, Geology, Palaeontology, Geo...\n",
+       "                              ...                        \n",
+       "2688    [Life Sciences, Basic Biological, Medical Rese...\n",
+       "2689    [Natural Sciences, Atmospheric Science, Oceano...\n",
+       "2690    [Natural Sciences, Atmospheric Science, Oceano...\n",
+       "2691    [Natural Sciences, Atmospheric Science, Oceano...\n",
+       "2692    [Life Sciences, Plant Sciences, Plant Genetics...\n",
+       "Name: 0, Length: 2693, dtype: object"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "re3data_cleaned_subjects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "re3data_df = re3data_df.join(re3data_cleaned_subjects)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "re3data_df.drop(columns=['subjects'], inplace=True)\n",
+    "re3data_df.rename(columns={0:'subjects'}, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**OpenDOAR**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0                                                      []\n",
+       "1                                                      []\n",
+       "2       ['Social Sciences General', 'Science General',...\n",
+       "3                                                      []\n",
+       "4                                                      []\n",
+       "                              ...                        \n",
+       "6009                                ['Multidisciplinary']\n",
+       "6010                                                   []\n",
+       "6011                           ['Business and Economics']\n",
+       "6012    ['Earth and Planetary Sciences', 'Ecology and ...\n",
+       "6013                                                   []\n",
+       "Name: subjects, Length: 6014, dtype: object"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "opendoar_df.subjects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opendoar_df['subjects'] = opendoar_df.subjects.apply(lambda x: ast.literal_eval(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opendoar_cleaned_subjects = opendoar_df.explode('subjects').subjects.str.split(',| and ', expand=True)\\\n",
+    "                                .apply(lambda row: row.dropna().tolist(), axis=1)\\\n",
+    "                                .reset_index()\\\n",
+    "                                .groupby('index')[0].apply(lambda x: merge_lists(x))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "index\n",
+       "0                                                      []\n",
+       "1                                                      []\n",
+       "2       [Social Sciences General, Science General, Com...\n",
+       "3                                                      []\n",
+       "4                                                      []\n",
+       "                              ...                        \n",
+       "6009                                  [Multidisciplinary]\n",
+       "6010                                                   []\n",
+       "6011                                [Business, Economics]\n",
+       "6012    [Earth, Planetary Sciences, Ecology, Environme...\n",
+       "6013                                                   []\n",
+       "Name: 0, Length: 6014, dtype: object"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "opendoar_cleaned_subjects"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opendoar_df = opendoar_df.join(opendoar_cleaned_subjects)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "opendoar_df.drop(columns=['subjects'], inplace=True)\n",
+    "opendoar_df.rename(columns={0: 'subjects'}, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Subjects analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fairsharing_subjects = fairsharing_df.explode('subjects')\n",
+    "re3data_subjects = re3data_df.explode('subjects')\n",
+    "opendoar_subjects = opendoar_df.explode('subjects')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
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\"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]], \"sequentialminus\": [[0.0, \"#0d0887\"], [0.1111111111111111, \"#46039f\"], [0.2222222222222222, \"#7201a8\"], [0.3333333333333333, \"#9c179e\"], [0.4444444444444444, \"#bd3786\"], [0.5555555555555556, \"#d8576b\"], [0.6666666666666666, \"#ed7953\"], [0.7777777777777778, \"#fb9f3a\"], [0.8888888888888888, \"#fdca26\"], [1.0, \"#f0f921\"]]}, \"colorway\": [\"#636efa\", \"#EF553B\", \"#00cc96\", \"#ab63fa\", \"#FFA15A\", \"#19d3f3\", \"#FF6692\", \"#B6E880\", \"#FF97FF\", \"#FECB52\"], \"font\": {\"color\": \"#2a3f5f\"}, \"geo\": {\"bgcolor\": \"white\", \"lakecolor\": \"white\", \"landcolor\": \"#E5ECF6\", \"showlakes\": true, \"showland\": true, \"subunitcolor\": \"white\"}, \"hoverlabel\": {\"align\": \"left\"}, \"hovermode\": \"closest\", \"mapbox\": {\"style\": \"light\"}, \"paper_bgcolor\": \"white\", \"plot_bgcolor\": \"#E5ECF6\", \"polar\": {\"angularaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"radialaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"scene\": {\"xaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"yaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}, \"zaxis\": {\"backgroundcolor\": \"#E5ECF6\", \"gridcolor\": \"white\", \"gridwidth\": 2, \"linecolor\": \"white\", \"showbackground\": true, \"ticks\": \"\", \"zerolinecolor\": \"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Fairsharing country coverage\"}, \"xaxis\": {\"tickangle\": 45, \"tickfont\": {\"size\": 12}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('b06e5f7b-6d49-44e6-aedc-05771a74a7d0');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fairsharing_countries = fairsharing_df.explode('countries').groupby('countries')[['url']].count().sort_values('url', ascending=False)\n",
-    "\n",
-    "data = [\n",
-    "    go.Bar(\n",
-    "        x=fairsharing_countries.index,\n",
-    "        y=fairsharing_countries['url']\n",
-    "    )\n",
-    "]\n",
-    "\n",
-    "layout = go.Layout(\n",
-    "    title='Fairsharing country coverage',\n",
-    "    xaxis=dict(tickangle=45, tickfont=dict(size=12))\n",
-    ")\n",
-    "fig = go.Figure(data=data, layout=layout)\n",
-    "plotly.offline.iplot(fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# re3data"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>url</th>\n",
-       "      <th>official_name</th>\n",
-       "      <th>english_name</th>\n",
-       "      <th>description</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>subjects</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>10|re3data_____::3f2e20af26ead0432f5470d8b739638d</td>\n",
-       "      <td>http://planttfdb.cbi.pku.edu.cn/</td>\n",
-       "      <td>Plant Transcription Factor Database</td>\n",
-       "      <td>PlantTFDB</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['Life Sciences', 'Basic Biological and Medica...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>10|re3data_____::e1db3f9d2fa6c8d8067bc471ab50bdfc</td>\n",
-       "      <td>https://spdf.gsfc.nasa.gov/</td>\n",
-       "      <td>Space Physics Data Facility</td>\n",
-       "      <td>NASA's Space Physics Data Facility SPDF</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['Natural Sciences', 'Astrophysics and Astrono...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>10|re3data_____::59521daca59ac29b811343cc4cd370cf</td>\n",
-       "      <td>http://card.westgis.ac.cn/</td>\n",
-       "      <td>Cold and Arid Regions Science Data Center at L...</td>\n",
-       "      <td>CARD WDC for Glaciology and Geocryology World ...</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['Natural Sciences', 'Geosciences (including G...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>10|re3data_____::ec1ba1674c852466c266acb64c618d15</td>\n",
-       "      <td>https://www.psycharchives.org/</td>\n",
-       "      <td>Psycharchives</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['Humanities and Social Sciences', 'Psychology...</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>10|re3data_____::2ada591fb1bc9aee72a6d3e0c1ae8a76</td>\n",
-       "      <td>https://www.ihfc-iugg.org/products/global-heat...</td>\n",
-       "      <td>The Global Heat Flow Database of the Internati...</td>\n",
-       "      <td>International Heat-flow Database</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['Natural Sciences', 'Geology and Palaeontolog...</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                   id  \\\n",
-       "4   10|re3data_____::3f2e20af26ead0432f5470d8b739638d   \n",
-       "7   10|re3data_____::e1db3f9d2fa6c8d8067bc471ab50bdfc   \n",
-       "13  10|re3data_____::59521daca59ac29b811343cc4cd370cf   \n",
-       "14  10|re3data_____::ec1ba1674c852466c266acb64c618d15   \n",
-       "19  10|re3data_____::2ada591fb1bc9aee72a6d3e0c1ae8a76   \n",
-       "\n",
-       "                                                  url  \\\n",
-       "4                    http://planttfdb.cbi.pku.edu.cn/   \n",
-       "7                         https://spdf.gsfc.nasa.gov/   \n",
-       "13                         http://card.westgis.ac.cn/   \n",
-       "14                     https://www.psycharchives.org/   \n",
-       "19  https://www.ihfc-iugg.org/products/global-heat...   \n",
-       "\n",
-       "                                        official_name  \\\n",
-       "4                 Plant Transcription Factor Database   \n",
-       "7                         Space Physics Data Facility   \n",
-       "13  Cold and Arid Regions Science Data Center at L...   \n",
-       "14                                      Psycharchives   \n",
-       "19  The Global Heat Flow Database of the Internati...   \n",
-       "\n",
-       "                                         english_name description  latitude  \\\n",
-       "4                                           PlantTFDB         NaN       0.0   \n",
-       "7             NASA's Space Physics Data Facility SPDF         NaN       0.0   \n",
-       "13  CARD WDC for Glaciology and Geocryology World ...         NaN       0.0   \n",
-       "14                                                NaN         NaN       0.0   \n",
-       "19                   International Heat-flow Database         NaN       0.0   \n",
-       "\n",
-       "    longitude                                           subjects  \n",
-       "4         0.0  ['Life Sciences', 'Basic Biological and Medica...  \n",
-       "7         0.0  ['Natural Sciences', 'Astrophysics and Astrono...  \n",
-       "13        0.0  ['Natural Sciences', 'Geosciences (including G...  \n",
-       "14        0.0  ['Humanities and Social Sciences', 'Psychology...  \n",
-       "19        0.0  ['Natural Sciences', 'Geology and Palaeontolog...  "
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "re3data_df = pd.read_csv('../data/raw/re3data_opendoar.csv')\n",
-    "re3data_df = re3data_df[re3data_df.id.str.contains('re3data')]\n",
-    "re3data_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "re3data_df.loc[(re3data_df.latitude == 0.0) & (re3data_df.longitude == 0.0), ['latitude', 'longitude']] = [np.nan, np.nan]"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4       ['Life Sciences', 'Basic Biological and Medica...\n",
-       "7       ['Natural Sciences', 'Astrophysics and Astrono...\n",
-       "13      ['Natural Sciences', 'Geosciences (including G...\n",
-       "14      ['Humanities and Social Sciences', 'Psychology...\n",
-       "19      ['Natural Sciences', 'Geology and Palaeontolog...\n",
-       "                              ...                        \n",
-       "8693    ['Life Sciences', 'Basic Biological and Medica...\n",
-       "8695    ['Natural Sciences', 'Atmospheric Science and ...\n",
-       "8697    ['Natural Sciences', 'Atmospheric Science and ...\n",
-       "8699    ['Natural Sciences', 'Atmospheric Science and ...\n",
-       "8705    ['Life Sciences', 'Plant Sciences', 'Plant Gen...\n",
-       "Name: subjects, Length: 2693, dtype: object"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "re3data_df.subjects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "re3data_df['subjects'] = re3data_df.subjects.apply(lambda x: ast.literal_eval(x))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "def merge_lists(lists):\n",
-    "    res = []\n",
-    "    for l in lists:\n",
-    "        res = res + l\n",
-    "    return res\n",
-    "\n",
-    "re3data_cleaned_subjects = re3data_df.explode('subjects').subjects.str.split(',| and ', expand=True)\\\n",
-    "                                .apply(lambda row: row.dropna().tolist(), axis=1)\\\n",
-    "                                .reset_index()\\\n",
-    "                                .groupby('index')[0].apply(lambda x: merge_lists(x))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "index\n",
-       "4       [Life Sciences, Basic Biological, Medical Rese...\n",
-       "7       [Natural Sciences, Astrophysics, Astronomy, Ph...\n",
-       "13      [Natural Sciences, Geosciences (including Geog...\n",
-       "14      [Humanities, Social Sciences, Psychology, Soci...\n",
-       "19      [Natural Sciences, Geology, Palaeontology, Geo...\n",
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-       "count                                                2693   \n",
-       "unique                                               2693   \n",
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\"white\"}}, \"shapedefaults\": {\"line\": {\"color\": \"#2a3f5f\"}}, \"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"re3data subject coverage\"}, \"xaxis\": {\"tickangle\": 45, \"tickfont\": {\"size\": 12}}},                        {\"responsive\": true}                    ).then(function(){\n",
-       "                            \n",
-       "var gd = document.getElementById('6fd0828d-4414-4d12-9800-fe3ebb8e283c');\n",
-       "var x = new MutationObserver(function (mutations, observer) {{\n",
-       "        var display = window.getComputedStyle(gd).display;\n",
-       "        if (!display || display === 'none') {{\n",
-       "            console.log([gd, 'removed!']);\n",
-       "            Plotly.purge(gd);\n",
-       "            observer.disconnect();\n",
-       "        }}\n",
-       "}});\n",
-       "\n",
-       "// Listen for the removal of the full notebook cells\n",
-       "var notebookContainer = gd.closest('#notebook-container');\n",
-       "if (notebookContainer) {{\n",
-       "    x.observe(notebookContainer, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "// Listen for the clearing of the current output cell\n",
-       "var outputEl = gd.closest('.output');\n",
-       "if (outputEl) {{\n",
-       "    x.observe(outputEl, {childList: true});\n",
-       "}}\n",
-       "\n",
-       "                        })                };                });            </script>        </div>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "re3data_subjects = re3data_df.explode('subjects').groupby('subjects')[['url']].count().sort_values('url', ascending=False)\n",
-    "\n",
-    "data = [\n",
-    "    go.Bar(\n",
-    "        x=re3data_subjects.index,\n",
-    "        y=re3data_subjects['url']\n",
-    "    )\n",
-    "]\n",
-    "\n",
-    "layout = go.Layout(\n",
-    "    title='re3data subject coverage',\n",
-    "    xaxis=dict(tickangle=45, tickfont=dict(size=12))\n",
-    ")\n",
-    "fig = go.Figure(data=data, layout=layout)\n",
-    "plotly.offline.iplot(fig)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# OpenDOAR"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 82,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th></th>\n",
-       "      <th>id</th>\n",
-       "      <th>url</th>\n",
-       "      <th>official_name</th>\n",
-       "      <th>english_name</th>\n",
-       "      <th>description</th>\n",
-       "      <th>latitude</th>\n",
-       "      <th>longitude</th>\n",
-       "      <th>subjects</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>10|opendoar____::e833e042f509c996b1b25324d56659fb</td>\n",
-       "      <td>http://www.bilbao.net/bld</td>\n",
-       "      <td>BLD - Bilboko Liburutegi Digitala</td>\n",
-       "      <td>BLD - Bilboko Liburutegi Digitala</td>\n",
-       "      <td>BLD is a repository of digital documents, desi...</td>\n",
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-       "      <th>1</th>\n",
-       "      <td>10|opendoar____::f621585df244e9596dc70a39b579efb1</td>\n",
-       "      <td>https://researchdirect.westernsydney.edu.au/</td>\n",
-       "      <td>Western Sydney ResearchDirect</td>\n",
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-       "      <td>http://redress.lancs.ac.uk/Learning_Space/</td>\n",
-       "      <td>Learning Space Catalogue</td>\n",
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-       "      <td>54.010760</td>\n",
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-       "      <td>['Social Sciences General', 'Science General',...</td>\n",
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-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>10|opendoar____::d840cc5d906c3e9c84374c8919d2074e</td>\n",
-       "      <td>http://digitallibrary.usc.edu/search/controlle...</td>\n",
-       "      <td>USC Digital Library</td>\n",
-       "      <td>USC Digital Library</td>\n",
-       "      <td>This is an institutional repository providing ...</td>\n",
-       "      <td>34.052200</td>\n",
-       "      <td>-118.242996</td>\n",
-       "      <td>[]</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>10|opendoar____::4ba3c163cd1efd4c14e3a415fa0a3010</td>\n",
-       "      <td>http://www.ufgd.edu.br:8080/jspui/</td>\n",
-       "      <td>Repositório de Divulgação das Produções Cientí...</td>\n",
-       "      <td>Repositório de Divulgação das Produções Cientí...</td>\n",
-       "      <td>This site provides access to the research outp...</td>\n",
-       "      <td>-22.221800</td>\n",
-       "      <td>-54.806400</td>\n",
-       "      <td>[]</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                                                  id  \\\n",
-       "0  10|opendoar____::e833e042f509c996b1b25324d56659fb   \n",
-       "1  10|opendoar____::f621585df244e9596dc70a39b579efb1   \n",
-       "2  10|opendoar____::437d7d1d97917cd627a34a6a0fb41136   \n",
-       "3  10|opendoar____::d840cc5d906c3e9c84374c8919d2074e   \n",
-       "5  10|opendoar____::4ba3c163cd1efd4c14e3a415fa0a3010   \n",
-       "\n",
-       "                                                 url  \\\n",
-       "0                          http://www.bilbao.net/bld   \n",
-       "1       https://researchdirect.westernsydney.edu.au/   \n",
-       "2         http://redress.lancs.ac.uk/Learning_Space/   \n",
-       "3  http://digitallibrary.usc.edu/search/controlle...   \n",
-       "5                 http://www.ufgd.edu.br:8080/jspui/   \n",
-       "\n",
-       "                                       official_name  \\\n",
-       "0                  BLD - Bilboko Liburutegi Digitala   \n",
-       "1                      Western Sydney ResearchDirect   \n",
-       "2                           Learning Space Catalogue   \n",
-       "3                                USC Digital Library   \n",
-       "5  Repositório de Divulgação das Produções Cientí...   \n",
-       "\n",
-       "                                        english_name  \\\n",
-       "0                  BLD - Bilboko Liburutegi Digitala   \n",
-       "1                      Western Sydney ResearchDirect   \n",
-       "2                                                NaN   \n",
-       "3                                USC Digital Library   \n",
-       "5  Repositório de Divulgação das Produções Cientí...   \n",
-       "\n",
-       "                                         description   latitude   longitude  \\\n",
-       "0  BLD is a repository of digital documents, desi...  43.256699   -2.924100   \n",
-       "1                                                NaN   0.000000    0.000000   \n",
-       "2  This repository is a Social Science e-Science ...  54.010760   -2.784990   \n",
-       "3  This is an institutional repository providing ...  34.052200 -118.242996   \n",
-       "5  This site provides access to the research outp... -22.221800  -54.806400   \n",
-       "\n",
-       "                                            subjects  \n",
-       "0                                                 []  \n",
-       "1                                                 []  \n",
-       "2  ['Social Sciences General', 'Science General',...  \n",
-       "3                                                 []  \n",
-       "5                                                 []  "
-      ]
-     },
-     "execution_count": 82,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "opendoar_df = pd.read_csv('../data/raw/re3data_opendoar.csv')\n",
-    "opendoar_df = opendoar_df[opendoar_df.id.str.contains('opendoar')]\n",
-    "opendoar_df.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 84,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0                                                      []\n",
-       "1                                                      []\n",
-       "2       ['Social Sciences General', 'Science General',...\n",
-       "3                                                      []\n",
-       "5                                                      []\n",
-       "                              ...                        \n",
-       "8701                                ['Multidisciplinary']\n",
-       "8702                                                   []\n",
-       "8703                           ['Business and Economics']\n",
-       "8704    ['Earth and Planetary Sciences', 'Ecology and ...\n",
-       "8706                                                   []\n",
-       "Name: subjects, Length: 6014, dtype: object"
-      ]
-     },
-     "execution_count": 84,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "opendoar_df.subjects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 85,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "opendoar_df['subjects'] = opendoar_df.subjects.apply(lambda x: ast.literal_eval(x))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 86,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "opendoar_cleaned_subjects = opendoar_df.explode('subjects').subjects.str.split(',| and ', expand=True)\\\n",
-    "                                .apply(lambda row: row.dropna().tolist(), axis=1)\\\n",
-    "                                .reset_index()\\\n",
-    "                                .groupby('index')[0].apply(lambda x: merge_lists(x))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 87,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "index\n",
-       "0                                                      []\n",
-       "1                                                      []\n",
-       "2       [Social Sciences General, Science General, Com...\n",
-       "3                                                      []\n",
-       "5                                                      []\n",
-       "                              ...                        \n",
-       "8701                                  [Multidisciplinary]\n",
-       "8702                                                   []\n",
-       "8703                                [Business, Economics]\n",
-       "8704    [Earth, Planetary Sciences, Ecology, Environme...\n",
-       "8706                                                   []\n",
-       "Name: 0, Length: 6014, dtype: object"
-      ]
-     },
-     "execution_count": 87,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "opendoar_cleaned_subjects"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 88,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "opendoar_df = opendoar_df.join(opendoar_cleaned_subjects)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 89,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "opendoar_df.drop(columns=['subjects'], inplace=True)\n",
-    "opendoar_df.rename(columns={0: 'subjects'}, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 90,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
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-       "      <th>longitude</th>\n",
-       "      <th>subjects</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>6014</td>\n",
-       "      <td>6013</td>\n",
-       "      <td>6014</td>\n",
-       "      <td>5500</td>\n",
-       "      <td>5776</td>\n",
-       "      <td>6014.000000</td>\n",
-       "      <td>6014.000000</td>\n",
-       "      <td>6014</td>\n",
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-       "    <tr>\n",
-       "      <th>unique</th>\n",
-       "      <td>6014</td>\n",
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-       "      <td>5946</td>\n",
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-       "      <td>201</td>\n",
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-       "    <tr>\n",
-       "      <th>top</th>\n",
-       "      <td>10|opendoar____::a2557a7b2e94197ff767970b67041697</td>\n",
-       "      <td>http://harp.lib.hiroshima-u.ac.jp/</td>\n",
-       "      <td>Hiroshima Associated Repository Portal</td>\n",
-       "      <td>AURA</td>\n",
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-       "      <td>NaN</td>\n",
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-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>freq</th>\n",
-       "      <td>1</td>\n",
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-       "      <td>4</td>\n",
-       "      <td>98</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>5273</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>38.649393</td>\n",
-       "      <td>7.810948</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>788.406173</td>\n",
-       "      <td>71.689788</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>-79.029999</td>\n",
-       "      <td>-683.103027</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
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-       "    <tr>\n",
-       "      <th>max</th>\n",
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-       "      <td>NaN</td>\n",
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-       "                                                       id  \\\n",
-       "count                                                6014   \n",
-       "unique                                               6014   \n",
-       "top     10|opendoar____::a2557a7b2e94197ff767970b67041697   \n",
-       "freq                                                    1   \n",
-       "mean                                                  NaN   \n",
-       "std                                                   NaN   \n",
-       "min                                                   NaN   \n",
-       "25%                                                   NaN   \n",
-       "50%                                                   NaN   \n",
-       "75%                                                   NaN   \n",
-       "max                                                   NaN   \n",
-       "\n",
-       "                                       url  \\\n",
-       "count                                 6013   \n",
-       "unique                                5953   \n",
-       "top     http://harp.lib.hiroshima-u.ac.jp/   \n",
-       "freq                                     3   \n",
-       "mean                                   NaN   \n",
-       "std                                    NaN   \n",
-       "min                                    NaN   \n",
-       "25%                                    NaN   \n",
-       "50%                                    NaN   \n",
-       "75%                                    NaN   \n",
-       "max                                    NaN   \n",
-       "\n",
-       "                                 official_name english_name  \\\n",
-       "count                                     6014         5500   \n",
-       "unique                                    5946         5413   \n",
-       "top     Hiroshima Associated Repository Portal         AURA   \n",
-       "freq                                         3            4   \n",
-       "mean                                       NaN          NaN   \n",
-       "std                                        NaN          NaN   \n",
-       "min                                        NaN          NaN   \n",
-       "25%                                        NaN          NaN   \n",
-       "50%                                        NaN          NaN   \n",
-       "75%                                        NaN          NaN   \n",
-       "max                                        NaN          NaN   \n",
-       "\n",
-       "                                              description      latitude  \\\n",
-       "count                                                5776   6014.000000   \n",
-       "unique                                               4920           NaN   \n",
-       "top     This site provides access to the research outp...           NaN   \n",
-       "freq                                                   98           NaN   \n",
-       "mean                                                  NaN     38.649393   \n",
-       "std                                                   NaN    788.406173   \n",
-       "min                                                   NaN    -79.029999   \n",
-       "25%                                                   NaN      4.644632   \n",
-       "50%                                                   NaN     37.930449   \n",
-       "75%                                                   NaN     47.294400   \n",
-       "max                                                   NaN  61138.800781   \n",
-       "\n",
-       "          longitude subjects  \n",
-       "count   6014.000000     6014  \n",
-       "unique          NaN      201  \n",
-       "top             NaN       []  \n",
-       "freq            NaN     5273  \n",
-       "mean       7.810948      NaN  \n",
-       "std       71.689788      NaN  \n",
-       "min     -683.103027      NaN  \n",
-       "25%      -49.273300      NaN  \n",
-       "50%        4.788870      NaN  \n",
-       "75%       30.685501      NaN  \n",
-       "max      178.438995      NaN  "
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-     },
-     "execution_count": 90,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "opendoar_df.describe(include='all')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 91,
-   "metadata": {},
-   "outputs": [
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-        "showLink": false
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-       "data": [
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          "x": [
           "Multidisciplinary",
           "Medicine",
@@ -6592,7 +3891,7 @@
          }
         },
         "title": {
-         "text": "OpenDOAR subject coverage"
+         "text": "Subject coverage"
         },
         "xaxis": {
          "tickangle": 45,
@@ -6603,9 +3902,9 @@
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       },
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@@ -6635,28 +3934,353 @@
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    "source": [
-    "opendoar_subjects = opendoar_df.explode('subjects').groupby('subjects')[['url']].count().sort_values('url', ascending=False)\n",
+    "data1 = fairsharing_subjects.groupby('subjects')[['url']].count().sort_values('url', ascending=False)\n",
+    "data2 = re3data_subjects.groupby('subjects')[['url']].count().sort_values('url', ascending=False)\n",
+    "data3 = opendoar_subjects.groupby('subjects')[['url']].count().sort_values('url', ascending=False)\n",
     "\n",
-    "data = [\n",
+    "plot = [\n",
     "    go.Bar(\n",
-    "        x=opendoar_subjects.index,\n",
-    "        y=opendoar_subjects['url']\n",
+    "        x=data1.index,\n",
+    "        y=data1['url'],\n",
+    "        name='FAIRsharing'\n",
+    "    ),\n",
+    "    go.Bar(\n",
+    "        x=data2.index,\n",
+    "        y=data2['url'],\n",
+    "        name='re3data',\n",
+    "        visible = 'legendonly'\n",
+    "    ),\n",
+    "    go.Bar(\n",
+    "        x=data3.index,\n",
+    "        y=data3['url'],\n",
+    "        name='OpenDOAR',\n",
+    "        visible = 'legendonly'\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='OpenDOAR subject coverage',\n",
+    "    title='Subject coverage',\n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12))\n",
     ")\n",
-    "fig = go.Figure(data=data, layout=layout)\n",
-    "plotly.offline.iplot(fig)"
+    "\n",
+    "fig = go.Figure(plot, layout).show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "311"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(fairsharing_subjects.subjects.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "414"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(re3data_subjects.subjects.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "64"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(opendoar_subjects.subjects.unique())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([nan, 'Social Sciences General', 'Science General', 'Computers',\n",
+       "       'IT', 'Physics', 'Astronomy', 'Multidisciplinary', 'Arts',\n",
+       "       'Humanities General', 'Philosophy', 'Religion', 'Business',\n",
+       "       'Economics', 'Law', 'Politics', 'Psychology', 'Health', 'Medicine',\n",
+       "       'History', 'Archaeology', 'Education', 'Technology General',\n",
+       "       'Library', 'Information Science', 'Earth', 'Planetary Sciences',\n",
+       "       'Geography', 'Regional Studies', 'Architecture', 'Ecology',\n",
+       "       'Environment', 'Electrical', 'Electronic Engineering', 'Biology',\n",
+       "       'Biochemistry', 'Mathematics', 'Statistics', 'Civil Engineering',\n",
+       "       'Agriculture', ' Food', 'Veterinary', 'Language', 'Literature',\n",
+       "       'Chemistry', 'Chemical Technology', 'Mechanical Engineering',\n",
+       "       'Materials', 'Fine', 'Performing Arts', 'Management', 'Planning',\n",
+       "       ' Language', ' Health', 'Veterinary ', ' Technology General',\n",
+       "       'Medicine ', ' History', 'IT ', ' Law', 'Social Sciences General ',\n",
+       "       ' Science General', ' Philosophy', 'Performing Arts '],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "opendoar_subjects.subjects.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Geographic analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fairsharing_countries = fairsharing_df.explode('countries')\n",
+    "fairsharing_countries['countrycode'] = fairsharing_countries.countries.map(lambda c: country_to_countrycode(c))\n",
+    "fairsharing_countries['continent'] = fairsharing_countries.countrycode.map(lambda cc: countrycode_to_continent(cc))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['European Union', 'Republic of Ireland', 'Worldwide', nan],\n",
+       "      dtype=object)"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fairsharing_countries[fairsharing_countries.countrycode.isna()].countries.unique()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['European Union', 'Republic of Ireland', 'Worldwide', 'Antarctica',\n",
+       "       nan], dtype=object)"
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fairsharing_countries[fairsharing_countries.continent.isna()].countries.unique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Manually fixing exceptions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "fairsharing_countries.loc[fairsharing_countries.countries == 'Republic of Ireland', ['countries', 'countrycode', 'continent']] = ['Ireland', 'IE', 'EU']\n",
+    "fairsharing_countries.loc[fairsharing_countries.countries == 'Antarctica', ['countrycode', 'continent']] = ['AQ', np.nan]\n",
+    "fairsharing_countries.loc[fairsharing_countries.countries == 'European Union', ['countrycode', 'continent']] = ['EU', 'EU']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>full_name</th>\n",
+       "      <th>short_name</th>\n",
+       "      <th>fs_url</th>\n",
+       "      <th>url</th>\n",
+       "      <th>countries</th>\n",
+       "      <th>subjects</th>\n",
+       "      <th>countrycode</th>\n",
+       "      <th>continent</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>915</th>\n",
+       "      <td>Antabif IPT - AntOBIS IPT - GBIF Belgium</td>\n",
+       "      <td>Antabif IPT - AntOBIS IPT - GBIF Belgium</td>\n",
+       "      <td>https://fairsharing.org/10.25504/FAIRsharing.e...</td>\n",
+       "      <td>http://ipt.biodiversity.aq/</td>\n",
+       "      <td>Antarctica</td>\n",
+       "      <td>[Biodiversity, Life Science]</td>\n",
+       "      <td>AQ</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                    full_name  \\\n",
+       "915  Antabif IPT - AntOBIS IPT - GBIF Belgium   \n",
+       "\n",
+       "                                   short_name  \\\n",
+       "915  Antabif IPT - AntOBIS IPT - GBIF Belgium   \n",
+       "\n",
+       "                                                fs_url  \\\n",
+       "915  https://fairsharing.org/10.25504/FAIRsharing.e...   \n",
+       "\n",
+       "                             url   countries                      subjects  \\\n",
+       "915  http://ipt.biodiversity.aq/  Antarctica  [Biodiversity, Life Science]   \n",
+       "\n",
+       "    countrycode continent  \n",
+       "915          AQ       NaN  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fairsharing_countries[fairsharing_countries.countrycode == 'AQ']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For re3data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "index            5\n",
+       "id               5\n",
+       "url              5\n",
+       "official_name    5\n",
+       "english_name     5\n",
+       "description      5\n",
+       "latitude         5\n",
+       "longitude        5\n",
+       "subjects         5\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 65,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "re3data_df[re3data_df.latitude.notna()].count()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Location is basically absent in re3data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "For OpenDOAR"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Loading formatted geocoded file...\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -6684,6 +4308,7 @@
        "      <th>admin1</th>\n",
        "      <th>admin2</th>\n",
        "      <th>cc</th>\n",
+       "      <th>continent</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -6695,6 +4320,7 @@
        "      <td>Basque Country</td>\n",
        "      <td>Bizkaia</td>\n",
        "      <td>ES</td>\n",
+       "      <td>EU</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
@@ -6704,6 +4330,7 @@
        "      <td>Western</td>\n",
        "      <td></td>\n",
        "      <td>GH</td>\n",
+       "      <td>AF</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
@@ -6713,6 +4340,7 @@
        "      <td>England</td>\n",
        "      <td>Lancashire</td>\n",
        "      <td>GB</td>\n",
+       "      <td>EU</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
@@ -6722,6 +4350,7 @@
        "      <td>California</td>\n",
        "      <td>Los Angeles County</td>\n",
        "      <td>US</td>\n",
+       "      <td>NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
@@ -6731,6 +4360,7 @@
        "      <td>Mato Grosso do Sul</td>\n",
        "      <td>Dourados</td>\n",
        "      <td>BR</td>\n",
+       "      <td>SA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -6740,6 +4370,7 @@
        "      <td>...</td>\n",
        "      <td>...</td>\n",
        "      <td>...</td>\n",
+       "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6009</th>\n",
@@ -6749,6 +4380,7 @@
        "      <td>Campania</td>\n",
        "      <td>Provincia di Napoli</td>\n",
        "      <td>IT</td>\n",
+       "      <td>EU</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6010</th>\n",
@@ -6758,6 +4390,7 @@
        "      <td>Sicily</td>\n",
        "      <td>Messina</td>\n",
        "      <td>IT</td>\n",
+       "      <td>EU</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6011</th>\n",
@@ -6767,6 +4400,7 @@
        "      <td>Schleswig-Holstein</td>\n",
        "      <td></td>\n",
        "      <td>DE</td>\n",
+       "      <td>EU</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6012</th>\n",
@@ -6776,6 +4410,7 @@
        "      <td>New York</td>\n",
        "      <td>Washington County</td>\n",
        "      <td>US</td>\n",
+       "      <td>NA</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6013</th>\n",
@@ -6785,10 +4420,11 @@
        "      <td>Georgia</td>\n",
        "      <td>Clarke County</td>\n",
        "      <td>US</td>\n",
+       "      <td>NA</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>6014 rows × 6 columns</p>\n",
+       "<p>6014 rows × 7 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
@@ -6805,23 +4441,23 @@
        "6012  43.40785  -73.25955    Granville            New York   \n",
        "6013  33.96095  -83.37794       Athens             Georgia   \n",
        "\n",
-       "                   admin2  cc  \n",
-       "0                 Bizkaia  ES  \n",
-       "1                          GH  \n",
-       "2              Lancashire  GB  \n",
-       "3      Los Angeles County  US  \n",
-       "4                Dourados  BR  \n",
-       "...                   ...  ..  \n",
-       "6009  Provincia di Napoli  IT  \n",
-       "6010              Messina  IT  \n",
-       "6011                       DE  \n",
-       "6012    Washington County  US  \n",
-       "6013        Clarke County  US  \n",
+       "                   admin2  cc continent  \n",
+       "0                 Bizkaia  ES        EU  \n",
+       "1                          GH        AF  \n",
+       "2              Lancashire  GB        EU  \n",
+       "3      Los Angeles County  US        NA  \n",
+       "4                Dourados  BR        SA  \n",
+       "...                   ...  ..       ...  \n",
+       "6009  Provincia di Napoli  IT        EU  \n",
+       "6010              Messina  IT        EU  \n",
+       "6011                       DE        EU  \n",
+       "6012    Washington County  US        NA  \n",
+       "6013        Clarke County  US        NA  \n",
        "\n",
-       "[6014 rows x 6 columns]"
+       "[6014 rows x 7 columns]"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6830,239 +4466,481 @@
     "reverse_geocoding = pd.DataFrame(rg.search(opendoar_df[['latitude', 'longitude']].apply(tuple, axis=1).tolist()))\n",
     "reverse_geocoding['lat'] = reverse_geocoding['lat'].astype('float')\n",
     "reverse_geocoding['lon'] = reverse_geocoding['lon'].astype('float')\n",
+    "reverse_geocoding['continent'] = reverse_geocoding.cc.map(countrycode_to_continent)\n",
     "reverse_geocoding"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
-    "opendoar_df = opendoar_df.join(reverse_geocoding[['cc']])"
+    "opendoar_df = opendoar_df.join(reverse_geocoding)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Manual fix of null lat/lon"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [],
    "source": [
-    "opendoar_df.loc[(opendoar_df.latitude == 0.0) & (opendoar_df.longitude == 0.0), ['latitude', 'longitude', 'cc']] = [np.nan, np.nan, np.nan]\n"
+    "opendoar_df.loc[(opendoar_df.latitude == 0.0) & (opendoar_df.longitude == 0.0), ['latitude', 'longitude', 'cc', 'continent']] = [np.nan, np.nan, np.nan, np.nan]\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Country intersection**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 63,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "venn2([set(fairsharing_countries.countrycode.dropna()), set(opendoar_df.cc.dropna())], set_labels = ('FAIRsharing', 'OpenDOAR'))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Country coverage**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "application/vnd.plotly.v1+json": {
        "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
+        "plotlyServerURL": "https://plot.ly"
        },
        "data": [
         {
+         "name": "FAIRsharing",
          "type": "bar",
          "x": [
           "US",
-          "GH",
-          "JP",
           "GB",
           "DE",
-          "ES",
-          "BR",
-          "PE",
-          "TR",
           "FR",
-          "HR",
-          "ID",
-          "IT",
-          "PL",
-          "CA",
-          "AU",
-          "IN",
-          "UA",
-          "NO",
-          "CO",
-          "NL",
-          "AR",
-          "CN",
-          "PT",
-          "TW",
           "CH",
-          "SE",
-          "GR",
-          "ZA",
-          "MX",
-          "AT",
-          "HU",
-          "BY",
+          "CN",
+          "NL",
+          "IT",
+          "CA",
           "BE",
-          "RS",
-          "KE",
-          "EC",
-          "FI",
-          "NG",
-          "RU",
-          "IE",
-          "KR",
-          "MY",
+          "ES",
+          "JP",
+          "SE",
           "CZ",
-          "IR",
-          "VE",
-          "CL",
-          "EG",
-          "LT",
-          "BD",
-          "LK",
+          "NO",
           "DK",
+          "EU",
+          "AT",
+          "FI",
+          "IE",
+          "AU",
+          "IL",
+          "PT",
+          "HU",
+          "GR",
+          "MT",
+          "LU",
+          "LT",
+          "IS",
+          "SK",
+          "ME",
+          "HR",
+          "IN",
+          "PL",
+          "SG",
+          "KR",
+          "RU",
+          "ZA",
+          "TW",
+          "MX",
+          "BR",
           "NZ",
-          "TZ",
-          "UG",
-          "DZ",
           "SA",
-          "NI",
-          "MD",
-          "SD",
-          "ZW",
-          "SI",
-          "CU",
-          "KZ",
           "HK",
+          "AR",
+          "TR",
+          "BG",
+          "RO",
+          "PK",
+          "CR",
+          "MA",
+          "CY",
           "TH",
-          "JM",
           "EE",
+          "UG",
           "SV",
           "UY",
-          "MK",
-          "PH",
-          "PS",
-          "BW",
-          "PK",
-          "BO",
-          "SN",
-          "DO",
-          "LB",
-          "LV",
-          "FJ",
-          "NA",
-          "SG",
-          "BG",
-          "YE",
-          "SJ",
-          "LY",
-          "RO",
-          "PY",
-          "MN",
-          "CR",
-          "IL",
-          "TN",
           "PA",
-          "MZ",
-          "CY",
-          "TT",
-          "XK",
-          "VA",
-          "VN",
-          "SY",
-          "ZM",
+          "TG",
           "AE",
-          "RW",
-          "IS",
-          "AM",
-          "AZ",
-          "BN",
+          "NI",
+          "NG",
+          "BJ",
+          "CL",
           "CM",
-          "CV",
+          "CO",
+          "EG",
           "ET",
+          "FO",
+          "GL",
           "HN",
-          "IQ",
-          "KG",
-          "PR",
-          "LA",
-          "AL",
-          "LU",
-          "MO",
-          "MV",
+          "ID",
+          "AQ",
+          "KE",
+          "LV",
+          "MG",
+          "ML",
+          "MR",
           "MW",
-          "NC",
-          "NP",
-          "LS"
+          "MZ",
+          "NE",
+          "ZW"
          ],
          "y": [
-          541,
-          410,
-          345,
-          191,
-          174,
-          104,
-          100,
+          686,
+          248,
+          192,
+          162,
+          114,
+          99,
+          96,
+          91,
+          86,
           83,
-          82,
-          79,
-          79,
-          77,
+          83,
+          80,
           76,
+          71,
           69,
           67,
+          66,
           64,
           63,
+          62,
+          62,
           61,
+          60,
+          59,
           58,
-          54,
-          47,
-          43,
-          38,
-          37,
-          36,
-          36,
-          35,
-          29,
-          27,
-          27,
-          26,
-          26,
-          25,
-          25,
-          22,
-          20,
-          20,
-          20,
-          20,
-          18,
-          18,
-          17,
-          16,
-          14,
-          13,
-          12,
+          53,
+          52,
+          52,
+          52,
+          52,
+          51,
+          51,
+          32,
           11,
           10,
           10,
           9,
           9,
-          9,
+          8,
+          8,
+          8,
+          8,
+          6,
+          3,
+          3,
+          3,
+          3,
+          2,
+          2,
+          2,
+          2,
+          2,
+          2,
+          2,
+          2,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1,
+          1
+         ]
+        },
+        {
+         "name": "OpenDOAR",
+         "type": "bar",
+         "x": [
+          "US",
+          "JP",
+          "GB",
+          "DE",
+          "ES",
+          "TR",
+          "PE",
+          "ID",
+          "BR",
+          "IT",
+          "HR",
+          "FR",
+          "PL",
+          "CA",
+          "IN",
+          "AU",
+          "UA",
+          "CO",
+          "NO",
+          "NL",
+          "AR",
+          "TW",
+          "CH",
+          "PT",
+          "SE",
+          "CN",
+          "MX",
+          "AT",
+          "GR",
+          "ZA",
+          "BE",
+          "HU",
+          "RU",
+          "EC",
+          "KR",
+          "KE",
+          "RS",
+          "BY",
+          "CZ",
+          "IE",
+          "NG",
+          "MY",
+          "FI",
+          "NZ",
+          "IR",
+          "CL",
+          "VE",
+          "TH",
+          "LT",
+          "DK",
+          "SD",
+          "LK",
+          "DZ",
+          "SI",
+          "BD",
+          "EG",
+          "NI",
+          "TZ",
+          "KZ",
+          "HK",
+          "CU",
+          "CR",
+          "UG",
+          "PH",
+          "MD",
+          "BG",
+          "ZW",
+          "SV",
+          "SA",
+          "EE",
+          "CY",
+          "JM",
+          "UY",
+          "RO",
+          "BW",
+          "PA",
+          "PS",
+          "MK",
+          "PK",
+          "AE",
+          "GH",
+          "LY",
+          "ET",
+          "DO",
+          "KG",
+          "LV",
+          "LB",
+          "IS",
+          "AZ",
+          "SJ",
+          "SN",
+          "HN",
+          "SO",
+          "IL",
+          "IQ",
+          "YE",
+          "SG",
+          "GE",
+          "BO",
+          "NA",
+          "BA",
+          "XK",
+          "TN",
+          "CV",
+          "ZM",
+          "BN",
+          "AM",
+          "SK",
+          "FJ",
+          "VA",
+          "LS",
+          "MV",
+          "PR",
+          "MZ",
+          "MN",
+          "MA",
+          "LU",
+          "PY",
+          "PW",
+          "GS",
+          "MW",
+          "AL",
+          "MR",
+          "MO",
+          "WF",
+          "VN",
+          "RW",
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@@ -7929,7 +5807,7 @@
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\"ternary\": {\"aaxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"baxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}, \"bgcolor\": \"#E5ECF6\", \"caxis\": {\"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\"}}, \"title\": {\"x\": 0.05}, \"xaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}, \"yaxis\": {\"automargin\": true, \"gridcolor\": \"white\", \"linecolor\": \"white\", \"ticks\": \"\", \"title\": {\"standoff\": 15}, \"zerolinecolor\": \"white\", \"zerolinewidth\": 2}}}, \"title\": {\"text\": \"Country coverage\"}, \"xaxis\": {\"tickangle\": 45, \"tickfont\": {\"size\": 12}}},                        {\"responsive\": true}                    ).then(function(){\n",
        "                            \n",
-       "var gd = document.getElementById('f72976cf-2109-4a50-950c-fcbd87e37a41');\n",
+       "var gd = document.getElementById('91ade7d0-b6b3-4e3e-bdf5-320ca3556a32');\n",
        "var x = new MutationObserver(function (mutations, observer) {{\n",
        "        var display = window.getComputedStyle(gd).display;\n",
        "        if (!display || display === 'none') {{\n",
@@ -7972,23 +5850,973 @@
     }
    ],
    "source": [
-    "opendoar_countries = opendoar_df.groupby('cc')[['id']].count().sort_values('id', ascending=False)\n",
+    "data1 = fairsharing_countries.groupby('countrycode')[['url']].count().sort_values('url', ascending=False)\n",
+    "data2 = opendoar_df.groupby('cc')[['id']].count().sort_values('id', ascending=False)\n",
     "\n",
-    "data = [\n",
+    "\n",
+    "plot = [\n",
     "    go.Bar(\n",
-    "        x=opendoar_countries.index,\n",
-    "        y=opendoar_countries['id']\n",
+    "        x=data1.index,\n",
+    "        y=data1['url'],\n",
+    "        name='FAIRsharing'\n",
+    "    ),\n",
+    "    go.Bar(\n",
+    "        x=data2.index,\n",
+    "        y=data2['id'],\n",
+    "        name='OpenDOAR'\n",
     "    )\n",
     "]\n",
     "\n",
     "layout = go.Layout(\n",
-    "    title='OpenDOAR country coverage',\n",
+    "    title='Country coverage',\n",
     "    xaxis=dict(tickangle=45, tickfont=dict(size=12))\n",
     ")\n",
-    "fig = go.Figure(data=data, layout=layout)\n",
-    "plotly.offline.iplot(fig)"
+    "\n",
+    "go.Figure(plot, layout).show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Continental coverage**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.plotly.v1+json": {
+       "config": {
+        "plotlyServerURL": "https://plot.ly"
+       },
+       "data": [
+        {
+         "fill": "toself",
+         "name": "FAIRsharing",
+         "r": [
+          27,
+          320,
+          2176,
+          787,
+          70,
+          14
+         ],
+         "theta": [
+          "AF",
+          "AS",
+          "EU",
+          "NA",
+          "OC",
+          "SA"
+         ],
+         "type": "scatterpolar"
+        },
+        {
+         "fill": "toself",
+         "name": "OpenDOAR",
+         "r": [
+          214,
+          1264,
+          2145,
+          1100,
+          121,
+          513
+         ],
+         "theta": [
+          "AF",
+          "AS",
+          "EU",
+          "NA",
+          "OC",
+          "SA"
+         ],
+         "type": "scatterpolar"
+        }
+       ],
+       "layout": {
+        "polar": {
+         "radialaxis": {
+          "visible": true
+         }
+        },
+        "template": {
+         "data": {
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+            "error_y": {
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+             "startlinecolor": "#2a3f5f"
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+             "linecolor": "white",
+             "minorgridcolor": "white",
+             "startlinecolor": "#2a3f5f"
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+            "type": "carpet"
+           }
+          ],
+          "choropleth": [
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+             "ticks": ""
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+            "type": "choropleth"
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+       "                            \n",
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+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
+       "        }}\n",
+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
+       "}}\n",
+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
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+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "data1 = fairsharing_countries.groupby('continent')[['url']].count()\n",
+    "data2 = opendoar_df.groupby('continent')[['url']].count()\n",
+    "\n",
+    "plot = [\n",
+    "    go.Scatterpolar(\n",
+    "        r=data1.url,\n",
+    "        theta=data1.index,\n",
+    "        fill='toself',\n",
+    "        name='FAIRsharing'),\n",
+    "    go.Scatterpolar(\n",
+    "        r=data2.url,\n",
+    "        theta=data2.index,\n",
+    "        fill='toself',\n",
+    "        name='OpenDOAR')\n",
+    "]\n",
+    "\n",
+    "layout = go.Layout(polar=dict(\n",
+    "    radialaxis=dict(\n",
+    "      visible=True\n",
+    "    ),\n",
+    "  )\n",
+    ")\n",
+    "\n",
+    "go.Figure(plot, layout).show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,