Affiliation Information in DataCite Dataset Metadata: a Flemish Case Study
This article aims to evaluate how and to what extent metadata of datasets indexed in DataCite offer clear human- or machine-readable information that enables the research data to be linked to a particular research institution. Two main pathways are explored. First, researchers can encode their affiliation information at the moment of data submission. This can be done by means of free-text metadata fields or via the inclusion of identifiers such as GRID/ROR and ORCID. Second, affiliation information can be traced indirectly through linking between a dataset and associated publications, given th... Mehr ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2021 |
Reihe/Periodikum: | Data Science Journal, Vol 20, Iss 1 (2021) |
Verlag/Hrsg.: |
Ubiquity Press
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Schlagwörter: | datacite / scholix / research data / metadata / affiliation / Science (General) / Q1-390 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-29060383 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.5334/dsj-2021-013 |