Toward a common standard for data and specimen provenance in life sciences

IF 2.6 Q2 HEALTH POLICY & SERVICES Learning Health Systems Pub Date : 2023-04-18 DOI:10.1002/lrh2.10365
Rudolf Wittner, Petr Holub, Cecilia Mascia, Francesca Frexia, Heimo Müller, Markus Plass, Clare Allocca, Fay Betsou, Tony Burdett, Ibon Cancio, Adriane Chapman, Martin Chapman, Mélanie Courtot, Vasa Curcin, Johann Eder, Mark Elliot, Katrina Exter, Carole Goble, Martin Golebiewski, Bron Kisler, Andreas Kremer, Simone Leo, Sheng Lin-Gibson, Anna Marsano, Marco Mattavelli, Josh Moore, Hiroki Nakae, Isabelle Perseil, Ayat Salman, James Sluka, Stian Soiland-Reyes, Caterina Strambio-De-Castillia, Michael Sussman, Jason R. Swedlow, Kurt Zatloukal, Jörg Geiger
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Abstract

Open and practical exchange, dissemination, and reuse of specimens and data have become a fundamental requirement for life sciences research. The quality of the data obtained and thus the findings and knowledge derived is thus significantly influenced by the quality of the samples, the experimental methods, and the data analysis. Therefore, a comprehensive and precise documentation of the pre-analytical conditions, the analytical procedures, and the data processing are essential to be able to assess the validity of the research results. With the increasing importance of the exchange, reuse, and sharing of data and samples, procedures are required that enable cross-organizational documentation, traceability, and non-repudiation. At present, this information on the provenance of samples and data is mostly either sparse, incomplete, or incoherent. Since there is no uniform framework, this information is usually only provided within the organization and not interoperably. At the same time, the collection and sharing of biological and environmental specimens increasingly require definition and documentation of benefit sharing and compliance to regulatory requirements rather than consideration of pure scientific needs. In this publication, we present an ongoing standardization effort to provide trustworthy machine-actionable documentation of the data lineage and specimens. We would like to invite experts from the biotechnology and biomedical fields to further contribute to the standard.

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迈向生命科学中数据和标本来源的共同标准
标本和数据的公开、实用的交流、传播和再利用已成为生命科学研究的基本要求。因此,所获得的数据的质量以及由此得出的结论和知识受到样本质量、实验方法和数据分析的显著影响。因此,分析前条件、分析程序和数据处理的全面和精确的文件对于能够评估研究结果的有效性至关重要。随着数据和样本的交换、重用和共享的重要性日益增加,需要实现跨组织文档、可追溯性和不可否认性的过程。目前,这些关于样本和数据来源的信息大多是稀疏的、不完整的或不连贯的。由于没有统一的框架,这些信息通常只在组织内部提供,不能互操作。与此同时,生物和环境标本的收集和分享越来越需要定义和记录利益分享和遵守管理要求,而不是单纯考虑科学需要。在本出版物中,我们提出了一项正在进行的标准化工作,以提供可信的数据谱系和样本的机器可操作文档。我们希望邀请生物技术和生物医学领域的专家进一步为标准做出贡献。
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来源期刊
Learning Health Systems
Learning Health Systems HEALTH POLICY & SERVICES-
CiteScore
5.60
自引率
22.60%
发文量
55
审稿时长
20 weeks
期刊最新文献
Issue Information Envisioning public health as a learning health system Thanks to our peer reviewers Learning health systems to implement chronic disease prevention programs: A novel framework and perspectives from an Australian health service The translation-to-policy learning cycle to improve public health
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