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  • 标题:Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience
  • 本地全文:下载
  • 作者:Scot Ausborn ; Julia Rotondo ; Tim Mulcahy
  • 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:As a part of the Metadata Portal Project, with support from the National Science Foundation, NORC mapped the General Social Survey workflow to the Generic Statistical Business Process Model (GSBPM) to determine where in the survey cycle DDI-based metadata could be more effectively captured. Lessons learned from the process include a better understanding of utilizing the flexibility of the GSBPM model and a recommendation to collect paradata in a collaborative, facilitated workshop rather than mapping responses from individual staff. Information gained from the mapping has proven useful in identifying areas of metadata and paradata collection enhancements.
  • 关键词:Metadata; paradata; Data Documentation Initiative (DDI); Generic Statistical Business Process Model (GSBPM); workflows
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