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Claudio Atzori 2022-11-08 09:35:10 +01:00
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5
docs/data-provision/aggregation/datacite.md
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@ -30,6 +30,9 @@ The collection workflow is responsible for aggregating new records. Each record
The metadata collection process identifies the most recent record date available locally and uses such date to requests the records to the Datacite API, populating the **FROM_DATE_TIMESAMP** variable. The records in the API response are included in the local storage in upsert mode.
## Datacite Mapping
### Entity Mapping
The table below describes the mapping from the XML baseline records to the OpenAIRE Graph dump format.
| OpenAIRE Result field path | Datacite record JSON path | # Notes |
@ -63,7 +66,7 @@ The table below describes the mapping from the XML baseline records to the OpenA
| `instance.accessright` | `\attributes\rightsList` | <ul><li>if not present :`unknown`</li><li>if datasource is Figshare:`open`</li><li>If `embargo_date < today()`: OPEN</li></ul> |
### Mapping Relation
### Relation Mapping
| OpenAIRE Relation Semantic and inverse | Datacite record JSON path | Source/Tartget type | #Notes |

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docs/data-provision/aggregation/pubmed.md
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@ -9,7 +9,8 @@ It contains XML records compliant with the schema available at https://www.nlm.n
## Incremental harvesting
Pubmed exposes an entry point FTP with all the updates for each one. [ftp baseline update](https://ftp.ncbi.nlm.nih.gov/pubmed/updatefiles/). We collect the new file and generate the new dataset by upserting the existing item.
## Mapping
## Entity Mapping
The table below describes the mapping from the XML baseline records to the OpenAIRE Graph dump format.