生命科学领域数据管理工具的现状
Current state of data stewardship tools in life science.
作者信息
Aksenova Anna, Johny Anoop, Adams Tim, Gribbon Phil, Jacobs Marc, Hofmann-Apitius Martin
机构信息
Bonn-Aachen International Center for Information Technology (B-IT), University of Bonn, Bonn, Germany.
Department of Bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing, Sankt Augustin, Germany.
出版信息
Front Big Data. 2024 Sep 16;7:1428568. doi: 10.3389/fdata.2024.1428568. eCollection 2024.
In today's data-centric landscape, effective data stewardship is critical for facilitating scientific research and innovation. This article provides an overview of essential tools and frameworks for modern data stewardship practices. Over 300 tools were analyzed in this study, assessing their utility, relevance to data stewardship, and applicability within the life sciences domain.
在当今以数据为中心的环境中，有效的数据管理对于促进科学研究和创新至关重要。本文概述了现代数据管理实践的基本工具和框架。本研究分析了300多种工具，评估了它们的实用性、与数据管理的相关性以及在生命科学领域的适用性。
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