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Encouraging data citation and discovery with the Data Citation Index
Force, M.M.; Robinson, N.J. (2014). Encouraging data citation and discovery with the Data Citation Index. J. Comput. Aided. Mol. Des. 28(10): 1043-1048. hdl.handle.net/10.1007/s10822-014-9768-5
In: Journal of Computer-Aided Molecular Design. Springer: Dordrecht. ISSN 0920-654X, more
Peer reviewed article  

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  • Force, M.M.
  • Robinson, N.J.

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.

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