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  • 标题:DDI and Enhanced Data Citation
  • 本地全文:下载
  • 作者:Larry Hoyle ; Mary Vardigan ; Jay Greenfield
  • 期刊名称:IASSIST Quarterly
  • 印刷版ISSN:0739-1137
  • 出版年度:2015
  • 出版社:International Association for Social Science Information Service & Technology
  • 摘要:In October 2014 at the fifth DDI Moving Forward Sprinta subgroup met2 to focus on adding structure toDDI4 to support enhanced citation of data. A principalquestion was how to record the role(s) and degreeof contribution of those contributing to the creationand curation of data. We also considered the questionof which information objects associated with datacreation might need enhanced citation information.We chose to think broadly about this, moving beyondthe notion of citing a dataset to explore other typesof intellectual objects that might merit some formof citation or annotation and reuse – for example,a new data collection method or a constructedvariable. In thinking about roles we reviewed theCRediT taxonomy (Allen et al. 2014) and decided thatit would serve as a good foundation in DDI4 for anextensible vocabulary for roles. Further, we determinedthat all DDI4 versionable objects should allow for theattachment of an annotation supporting citation alongwith role and degree of contribution. As a result of theDagstuhl meeting the initial releases of DDI4 will havean annotation object allowing for the attribution ofroles and associated degree of contribution for creatorsand contributors to the creation of versionable objects.Attribution information has also been proposed as aCDISC ODM-XML extension planned for developmentin 2015.
  • 关键词:Attribution; contributor role; data citation; DDI; Dublin;Core; CDISC; enhanced citation; metadata
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