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

Authors

WITTNER Rudolf HOLUB Petr MASCIA Cecilia FREXIA Francesca MÜLLER Heimo PLASS Markus ALLOCCA Clare BETSOU Fay BURDETT Tony CANCIO Ibon CHAPMAN Adriane CHAPMAN Martin COURTOT Mélanie CURCIN Vasa EDER Johann ELLIOT Mark EXTER Katrina GOBLE Carole GOLEBIEWSKI Martin KISLER Bron KREMER Andreas LEO Simone LIN-GIBSON Sheng MARSANO Anna MATTAVELLI Marco MOORE Josh NAKAE Hiroki PERSEIL Isabelle SALMAN Ayat SLUKA James SOILAND-REYES Stian STRAMBIO-DE-CASTILLIA Caterina SUSSMAN Michael SWEDLOW Jason R ZATLOUKAL Kurt GEIGER Jörg

Year of publication 2024
Type Article in Periodical
Magazine / Source LEARNING HEALTH SYSTEMS
MU Faculty or unit

Institute of Computer Science

Citation
Web
Doi http://dx.doi.org/10.1002/lrh2.10365
Keywords biotechnology; International Organization for Standardization; provenance information;standardization
Description 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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