Title |
Encouraging data citation and discovery with the Data Citation Index
|
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Published in |
Perspectives in Drug Discovery and Design, July 2014
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DOI | 10.1007/s10822-014-9768-5 |
Pubmed ID | |
Authors |
Megan M. Force, Nigel J. Robinson |
Abstract |
An overview of the Data Citation Index is provided. Thomson Reuters developed this resource in response to a stated desire among members of the research community for increased attribution of non-traditional scholarly output. Launched in October of 2012 on the Web of science research platform, its aims include linking published research articles to their underlying data sets and tracking the citation of the data, as well as encouraging bibliographic citation of data. Cross-disciplinary search capabilities in the Index enable new possibilities for data discovery and synthesis. Data repositories are evaluated with respect to various selection criteria, with particular attention to their relevance to scientific and scholarly research. Index content reflects current data deposition practices. As data citation standards and practices continue to move toward widespread formalization and adoption, the initiative seeks to address issues of data citation, reuse, and author credit in a developing climate. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 33% |
Spain | 2 | 33% |
Belgium | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 7% |
Kenya | 1 | 2% |
Germany | 1 | 2% |
Spain | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 52 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 25% |
Librarian | 8 | 13% |
Student > Ph. D. Student | 8 | 13% |
Professor | 5 | 8% |
Student > Master | 5 | 8% |
Other | 13 | 22% |
Unknown | 6 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 38% |
Social Sciences | 9 | 15% |
Medicine and Dentistry | 4 | 7% |
Arts and Humanities | 4 | 7% |
Agricultural and Biological Sciences | 3 | 5% |
Other | 10 | 17% |
Unknown | 7 | 12% |