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  • 标题:Creating Rich, Structured Metadata: Lessons Learned in the Metadata Portal Project
  • 本地全文:下载
  • 作者:Mary Vardigan ; Darrell Donakowski ; Pascal Heus
  • 期刊名称:IASSIST Quarterly
  • 印刷版ISSN:0739-1137
  • 出版年度:2014
  • 出版社:International Association for Social Science Information Service & Technology
  • 摘要:With support from the National Science Foundation, two long-running social science studies – the American National Election Study and the General Social Survey – partnered with the Inter-university Consortium for Political and Social Research (ICPSR) and NORC at the University of Chicago to improve their metadata and build demonstration tools to illustrate the value of structured, machine-actionable metadata. The partnership also involved evaluating the studies' data collection workflows to determine where in the data life cycle metadata could be captured at source to avoid metadata loss and costly procedures to recreate the metadata later. This article reports on the experience and knowledge gained over the course of the project and also includes recommendations for others undertaking similar work.
  • 关键词:Metadata; documentation; Data Documentation Initiative (DDI); data life cycle; data dissemination; tools; workflows
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