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Toward a common standard for data and specimen provenance in life sciences.
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.
Afiliação
  • Wittner R; BBMRI-ERIC Graz Austria.
  • Holub P; Institute of Computer Science & Faculty of Informatics Masaryk University Brno Czechia.
  • Mascia C; BBMRI-ERIC Graz Austria.
  • Frexia F; Institute of Computer Science & Faculty of Informatics Masaryk University Brno Czechia.
  • Müller H; CRS4-Center for Advanced Studies Research and Development in Sardinia Pula Italy.
  • Plass M; CRS4-Center for Advanced Studies Research and Development in Sardinia Pula Italy.
  • Allocca C; Medical University Graz Graz Austria.
  • Betsou F; Medical University Graz Graz Austria.
  • Burdett T; National Institute of Standards and Technology Gaithersburg Maryland USA.
  • Cancio I; Biological Resource Center of Institut Pasteur (CRBIP) Paris France.
  • Chapman A; EMBL's European Bioinformatics Institute (EMBL-EBI) Cambridge UK.
  • Chapman M; Plentzia Marine Station (PiE-UPV/EHU) University of the Basque Country, EMBRC-Spain Bilbao Spain.
  • Courtot M; University of Southampton Southampton UK.
  • Curcin V; King's College London London UK.
  • Eder J; Ontario Institute for Cancer Research Toronto Ontario Canada.
  • Elliot M; King's College London London UK.
  • Exter K; University of Klagenfurt Klagenfurt Austria.
  • Goble C; Department of Social Statistics, School of Social Sciences University of Manchester Manchester UK.
  • Golebiewski M; Flanders Marine Institute (VLIZ), EMBRC-Belgium Ostend Belgium.
  • Kisler B; Department of Computer Science University of Manchester Manchester UK.
  • Kremer A; Heidelberg Institute for Theoretical Studies (HITS gGmbH) Heidelberg Germany.
  • Leo S; Independent consultant.
  • Lin-Gibson S; ITTM S.A. Esch-sur-Alzette Luxembourg.
  • Marsano A; CRS4-Center for Advanced Studies Research and Development in Sardinia Pula Italy.
  • Mattavelli M; Biosystems and Biomaterials Division NIST Gaithersburg Maryland USA.
  • Moore J; Department of Biomedicine University of Basel Basel Switzerland.
  • Nakae H; SCI-STI-MM École Politechnique Fédérale de Lausanne Lausanne Switzerland.
  • Perseil I; Centre for Gene Regulation and Expression and Division of Computational Biology, School of Life Sciences University of Dundee Dundee UK.
  • Salman A; German BioImaging-Gesellschaft für Mikroskopie und Bildanalyse e.V. Konstanz Germany.
  • Sluka J; Japan bio-Measurement and Analysis Consortium Tokyo Japan.
  • Soiland-Reyes S; INSERM-Institut National de la Sante et de la Recherche Medicale Paris France.
  • Strambio-De-Castillia C; Standards Council of Canada Ottawa Ontario Canada.
  • Sussman M; Canadian Primary Care Sentinel Surveillance Network (CPCSSN) Department of Family Medicine Queen's University Kingston Ontario Canada.
  • Swedlow JR; Biocomplexity Institute Indiana University Bloomington Indiana USA.
  • Zatloukal K; Department of Computer Science University of Manchester Manchester UK.
  • Geiger J; Informatics Institute University of Amsterdam Amsterdam The Netherlands.
Learn Health Syst ; 8(1): e10365, 2024 Jan.
Article em En | MEDLINE | ID: mdl-38249839
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article