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  • 标题:Standards-based metadata procedures for retrieving data for display or mining utilizing persistent (data-DOI) identifiers
  • 本地全文:下载
  • 作者:Matthew J Harvey ; Nicholas J Mason ; Andrew McLean
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2015
  • 卷号:7
  • 期号:1
  • 页码:37
  • DOI:10.1186/s13321-015-0081-7
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:We describe three different procedures based on metadata standards for enabling automated retrieval of scientific data from digital repositories utilising the persistent identifier of the dataset with optional specification of the attributes of the data document such as filename or media type. The procedures are demonstrated using the JSmol molecular visualizer as a component of a web page and Avogadro as a stand-alone modelling program. We compare our methods for automated retrieval of data from a standards-compliant data repository with those currently in operation for a selection of existing molecular databases and repositories. Our methods illustrate the importance of adopting a standards-based approach of using metadata declarations to increase access to and discoverability of repository-based data.
  • 关键词:Metadata standards ; DOI ; Digital repository ; Data retrieval
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