首页    期刊浏览 2024年11月25日 星期一
登录注册

文章基本信息

  • 标题:The eGenVar data management system—cataloguing and sharing sensitive data and metadata for the life sciences
  • 本地全文:下载
  • 作者:Razick, Sabry ; Močnik, Rok ; Thomas, Laurent F.
  • 期刊名称:Database
  • 印刷版ISSN:1758-0463
  • 电子版ISSN:1758-0463
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1093/database/bau027
  • 出版社:Oxford University Press
  • 摘要:Systematic data management and controlled data sharing aim at increasing reproducibility, reducing redundancy in work, and providing a way to efficiently locate complementing or contradicting information. One method of achieving this is collecting data in a central repository or in a location that is part of a federated system and providing interfaces to the data. However, certain data, such as data from biobanks or clinical studies, may, for legal and privacy reasons, often not be stored in public repositories. Instead, we describe a metadata cataloguing system and a software suite for reporting the presence of data from the life sciences domain. The system stores three types of metadata: file information, file provenance and data lineage, and content descriptions. Our software suite includes both graphical and command line interfaces that allow users to report and tag files with these different metadata types. Importantly, the files remain in their original locations with their existing access-control mechanisms in place, while our system provides descriptions of their contents and relationships. Our system and software suite thereby provide a common framework for cataloguing and sharing both public and private data.Database URL: http://bigr.medisin.ntnu.no/data/eGenVar/
国家哲学社会科学文献中心版权所有