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  • 标题:Design Considerations for DDI-Based Data Systems
  • 本地全文:下载
  • 作者:Alerk Amin ; Ingo Barkow ; Stefan Kramer
  • 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:Growing amounts of available data and new developments in data handling result in the need for advanced solutions. Therefore, organizations providing data have to focus more and more on technical and design issues. In order to keep the effort and expense low, data storage and data documentation must go hand in hand. This paper aims to help decision-makers by highlighting two promising approaches - relational databases for data storage and the DDI (Data Documentation Initiative) standard for data documentation. Possible interactions between both solutions are discussed, whereby the focus is on the advantages and disadvantages of representing DDI in its native XML format vs. the storage format of relational databases. In addition, three use cases are presented to provide further clarity on design considerations for DDI-based data systems: (1) agencies with existing relational database structures, (2) agencies with homogeneous DDI input and output, and (3) agencies with mixed environments..
  • 关键词:Data Documentation; Data Storage; Compatibility; DDI; Relational Data Base; SQL
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