條目
DataCite is an international not-for-profit organization which aims to improve data citation in order to:establish easier access to research data on the Internet increase acceptance of research data as legitimate, citable contributions to the scholarly record support data archiving that will permit results to be verified and re-purposed for future study.
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DataCite is an international not-for-profit organization which aims to improve data citation in order to:establish easier access to research data on the Internet increase acceptance of research data as legitimate, citable contributions to the scholarly record support data archiving that will permit results to be verified and re-purposed for future study.
DataCite is an international not-for-profit organization which aims to improve data citation in order to:
establish easier access to research data on the Internet
increase acceptance of research data as legitimate, citable contributions to the scholarly record
support data archiving that will permit results to be verified and re-purposed for future study.
In August 2009 a paper was published laying out an approach for a global registration agency for research data. DataCite was subsequently founded in London on 1 December 2009 by organisations from 6 countries: the British Library; the Technical Information Center of Denmark (DTIC); the TU Delft Library from the Netherlands; the National Research Council’s Canada Institute for Scientific and Technical Information (NRC-CISTI); the California Digital Library (University of California Curation Center - UC3); Purdue University (USA); and the German National Library of Science and Technology (TIB).
After the founding of DataCite, leading research libraries and information centres converged for the first official members’ convention in Paris on 5 February 2010. The inclusion of five further members was approved in the office of the International Council for Science (ICSU): Australian National Data Service (ANDS); Deutsche Zentralbibliothek für Medizin (ZB MED); GESIS – Leibniz Institute for the Social Sciences; French Institute for Scientific and Technical Information (INIST); and Eidgenössische Technische Hochschule (ETH) Zürich.
The primary means of establishing easier access to research data is by DataCite members assigning persistent identifiers, such as digital object identifiers (DOIs), to data sets. Although currently leveraging the well-established DOI infrastructure, DataCite takes an open approach to identifiers, and considers other systems and services that help forward its objectives.
DataCite's recommended format for a data citation is:
Creator (PublicationYear): Title. Publisher. Identifier
Or alternatively:
Creator (PublicationYear): Title. Version. Publisher. ResourceType. Identifier
DataCite recommends that DOI names are displayed as linkable, permanent URLs.
DataCite's metadata, which follows the RDF model, can include information about a data resource's subject, funder, an accompanying abstract, and other information. For contributors to a dataset, one can indicate whether they are a researcher, data collector, data manager, editor, translator, producer, sponsor, or several other roles.
Third-party tools allow the migration of content to and from other services, such as ODIN for ORCID.
In April 2017, DataCite was one of the founding partners in the Initiative for Open Citations. In January 2023, DataCite announced a partnership with the Chan Zuckerberg Initiative and the Wellcome Trust to develop an Open Global Data Citation Corpus.
來源：DataCite （CC BY-SA）
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