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The eGenVar data management system-cataloguing and sharing sensitive data and metadata for the life sciences

机译:eGenVar数据管理系统-为生命科学编目和共享敏感数据和元数据

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.
机译:系统的数据管理和受控的数据共享旨在提高可重复性,减少工作中的冗余,并提供一种有效定位补充或矛盾信息的方式。实现此目的的一种方法是在中央存储库中或在作为联合系统一部分的位置中收集数据,并提供与数据的接口。但是,出于法律和隐私方面的原因,某些数据(例如来自生物库或临床研究的数据)可能通常不会存储在公共存储库中。相反,我们描述了一个元数据分类系统和一个软件套件,用于报告生命科学领域中数据的存在。系统存储三种类型的元数据:文件信息,文件出处和数据沿袭以及内容描述。我们的软件套件包括图形和命令行界面,允许用户使用这些不同的元数据类型报告和标记文件。重要的是,文件将保留在其原始位置,并保留其现有的访问控制机制,而我们的系统将提供其内容和关系的描述。因此,我们的系统和软件套件提供了用于分类和共享公共和私有数据的通用框架。

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