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  This dataset contains 20,512,320 enrichment records mapping author affiliation strings from DataCite metadata to [Research Organization Registry (ROR)](https://ror.org) identifiers. It covers 5,812,774 unique DOIs from the [DataCite Public Data File](https://support.datacite.org/docs/datacite-public-data-file).
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- Each record is formatted as a DataCite enrichment input record, designed for use with the [DataCite enrichment pipeline](https://github.com/datacite/datacite-enrichment). Records use the `updateChild` action on the `creators` field, providing a per-creator `originalValue`/`enrichedValue` pair that adds ROR identifiers to existing affiliation strings.
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  ## Record Structure
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  ## Methodology
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  1. Unique affiliation strings were extracted from the DataCite Public Data File
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- 2. Each affiliation string was queried against the [ROR affiliation matching service](https://ror.readme.io/v2/docs/api-affiliation)
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  3. Matched ROR IDs were reconciled back to individual DOI/author/affiliation records
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  4. Only creators with at least one successful ROR match are included
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  5. Affiliations that already had ROR IDs assigned in the source DataCite metadata were excluded from matching
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  ## Source Code
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- [match-datacite-affiliations-to-ror-ids](https://github.com/adambuttrick/match-datacite-affiliations-to-ror-ids)
 
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  ## Related Datasets
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  This dataset contains 20,512,320 enrichment records mapping author affiliation strings from DataCite metadata to [Research Organization Registry (ROR)](https://ror.org) identifiers. It covers 5,812,774 unique DOIs from the [DataCite Public Data File](https://support.datacite.org/docs/datacite-public-data-file).
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+ Each record is formatted as a DataCite enrichment input record, designed for use with the [DataCite enrichment pipeline](https://github.com/cometadata/datacite-enrichment). Records use the `updateChild` action on the `creators` field, providing a per-creator `originalValue`/`enrichedValue` pair that adds ROR identifiers to existing affiliation strings.
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  ## Record Structure
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  ## Methodology
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+ [match-datacite-affiliations-to-ror-ids](https://github.com/cometadata/match-datacite-affiliations-to-ror-ids) was used to extract affiliations from the DataCite Public Data File, match them to ROR IDs, and reconcile the results into enrichment records.
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  1. Unique affiliation strings were extracted from the DataCite Public Data File
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+ 2. Each affiliation string was matched to a ROR ID using the [single search matching strategy](https://ror.readme.io/v2/docs/api-affiliation) in the ROR API, with [v2.3 of the ROR data](https://doi.org/10.5281/zenodo.18761279)
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  3. Matched ROR IDs were reconciled back to individual DOI/author/affiliation records
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  4. Only creators with at least one successful ROR match are included
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  5. Affiliations that already had ROR IDs assigned in the source DataCite metadata were excluded from matching
 
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  ## Source Code
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+ - [match-datacite-affiliations-to-ror-ids](https://github.com/cometadata/match-datacite-affiliations-to-ror-ids) - Extract affiliations, match to ROR IDs, and reconcile into enrichment records
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+ - [datacite-enrichment](https://github.com/cometadata/datacite-enrichment) - DataCite enrichment pipeline
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  ## Related Datasets
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