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@ -30,6 +30,9 @@ The collection workflow is responsible for aggregating new records. Each record
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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.
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## Datacite Mapping
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### Entity Mapping
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The table below describes the mapping from the XML baseline records to the OpenAIRE Graph dump format.
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| OpenAIRE Result field path | Datacite record JSON path | # Notes |
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@ -63,7 +66,7 @@ The table below describes the mapping from the XML baseline records to the OpenA
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| `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> |
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### Mapping Relation
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### Relation Mapping
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| OpenAIRE Relation Semantic and inverse | Datacite record JSON path | Source/Tartget type | #Notes |
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@ -9,7 +9,8 @@ It contains XML records compliant with the schema available at https://www.nlm.n
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## Incremental harvesting
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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.
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## Mapping
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## Entity Mapping
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The table below describes the mapping from the XML baseline records to the OpenAIRE Graph dump format.
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