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How publishers can work with Crossref on data citation
Author(s) -
Rachael Lammey
Publication year - 2019
Publication title -
science editing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.354
H-Index - 11
eISSN - 2288-8063
pISSN - 2288-7474
DOI - 10.6087/kcse.165
Subject(s) - computer science , citation , work (physics) , data science , information retrieval , world wide web , library science , engineering , mechanical engineering
It aims to explain why data citation is important, how publishers and data repositories can do this and what use will be made of the information they provide. There are large benefits to be accrued from sharing research data such as guarantee of reproducibility and transparency. Consistent citation practice around data is essential to helping these benefits to be realized. Data citation metadata is being disseminated and used through its application programming interfaces and the Event Data application programming interface. Event Data extracts this information into a separate service, so data citations are pre-filtered from the Crossref metadata. There are two methods by which publishers can register data citation information with Crossref. The first method is to deposit data citations in the citation section of the metadata, i.e., the part containing the reference list of the article. The second method publishers can use to register data citations with Crossref is to use the relationships section of the metadata. There are a number of services already using Event Data to show information on data citation. To achieve the benefits of data citation, publishers or editors should have a data sharing and citation policy so that they share with their authors and readers.

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