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Datacite

This section describes the aggregation workflow of Datacite and the mapping implemented for it.

Datacite datasource

Datacite is a leading global non-profit organisation that provides persistent identifiers (DOIs) for research data and other research outputs.

Datacite API

The DataCite REST API allows users to retrieve, query, and browse DataCite DOI metadata records. In particular, it exposes a method for incremental harvesting new datacite records.

https://api.datacite.org/dois?page[cursor]=$CURSOR&page[size]=$NUMBER_OF_ITEM_PER_PAGE&query=updated:[$FROM_DATE_TIMESAMP TO $TO_DATE_TIMESAMP]

On this API Request, we introduce some variables:

CURSOR: The value of the cursor to iterate the pages
NUMBER_OF_ITEM_PER_PAGE: (max 1000) defines how many records we can download for each page.
FROM_DATE_TIMESAMP, TO_DATE_TIMESAMP interval timestamp of the updated record

Each record contains two pieces of information needed for incremental harvesting:

isActive: tells if the record is deleted (isActive:false)
updated: timestamp of last update

Collection Workflow

The collection workflow is responsible for aggregating new datacite records. Each record is stored on a table called Native Datacite Store with the following schema:

DOI: The DOI PID of the datacite record (It is a primary key)
update_timestamp: the last update date timestamp
json: the native record JSON

During the collection workflow, we identify the most updated record date, and the collection phase downloads all new datacite records and update the existing one through the API using this date as FROM_DATE_TIMESAMP variable.

Datacite 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
`id`	`\attributes\doi`	the identifier will be created by folloing the openaire PID generation policy
`instance` `instance.type`	`\attributes\types\resourceType` `\attributes\types\resourceTypeGeneral` `attributes\types\schemaOrg`	Use the vocabulary *dnet:publication_resource* to find a synonym to one of these terms and get the `instance.type`. Using the *dnet:result_typologies* vocabulary, we look up the `instance.type` synonym to generate one of the following main entities: `publication` `dataset` `software` `otherresearchproduct`
`pid`	`\attributes\doi`	`scheme = doi`
`dateofcollection`	`attributes\updated`	the timestamp is defined in milliseconds we convert to "yyyy-MM-dd'T'HH:mm:ssZ" format
`author`	`\attributes\creators`	Each creator field will be mapped in the author entity below the subfield

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