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  • 标题:Research Data Repositories: Review of Current Features, Gap Analysis, and Recommendations for Minimum Requirements
  • 本地全文:下载
  • 作者:Claire C. Austin ; Susan Brown ; Nancy Fong
  • 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:Data sharing is increasingly recognized as integralto scientific research and publishing. This requiresinformed and thoughtful preparation from initialresearch planning to collection of data/metadata,interoperability, deposit in data repositories, andcuration. Research Data Canada (RDC) is a collaborative,non-government organization that promotes accessto and preservation of Canadian research data. TheRDC Standards and Interoperability Committee (RDCSINC)surveyed 32 Canadian and International onlinedata platforms for storage, data transfer, curationactivities, preservation, access, and sharing features.We developed a checklist to compare criteria andfeatures between platforms. The survey revealeda heterogeneity of features and services acrossplatforms, non-standardized use of terms, unevencompliance with relevant standards, and a paucityof certified data repositories. Recommendations foronline digital infrastructure development to meetevolving researcher and end-user needs centre aroundpersistent identification and citation of datasets, datareliability, version control, metadata, data sharing,privacy controls, long-term preservation of data,and certification of data repositories. We identifieda need in Canada for investment in an integrated,comprehensive national digital infrastructure forresearch data.
  • 关键词:Data sharing; data publication; digital;repository; data interoperability; data standards; data;deposit; digital infrastructure
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