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  • 标题:Data Citation Initiatives and Issues
  • 本地全文:下载
  • 作者:Matthew S. Mayernik
  • 期刊名称:Bulletin of the American Society for Information Science
  • 出版年度:2012
  • 卷号:38
  • 期号:5
  • 出版社:American Society for Information Science and Technology
  • 摘要:Many institutions across academic disciplines are investigating and promoting data citations. A data citation, as the term suggests, is a citation included in the reference list of a published article that formally cites data that led to a given research result. Formal data citations are becoming more common, but are still more the exception than the rule across disciplines. Authors of research papers typically refer to their source data in other ways, such as free-text mentions in the methods section of a paper or a mention in the acknowledgements section of a paper. Data citations, on the other hand, appeal to many data producers, repositories and research funders because of their potential to become an accountable part of the scholarly communication process. If researchers begin to cite their source data through the formal citation mechanism, data sets can potentially be better assessed for their impact on the scientific community through the compilation of data citation indices.
  • 关键词:research data sets information infrastructure bibliographic citations motivation data set management cultural aspects access to resources
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