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

J 2024

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

WITTNER, Rudolf, Petr HOLUB, Cecilia MASCIA, Francesca FREXIA, Heimo MÜLLER et. al.

Basic information

Original name

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

Authors

WITTNER, Rudolf, 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 and Jörg GEIGER

Edition

LEARNING HEALTH SYSTEMS, UNITED STATES, WILEY, 2024, 2379-6146

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL URL

Impact factor

Impact factor: 3.100 in 2022

Organization unit

Institute of Computer Science

DOI

http://dx.doi.org/10.1002/lrh2.10365

UT WoS

000974233700001

Keywords in English

biotechnology; International Organization for Standardization; provenance information;standardization

Abstract

V originále

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.

Links

MUNI/A/1389/2022, interní kód MU

Name: Aplikovaný výzkum na FI: Bezpečnost počítačových systémů, softwarových architektur kritických infrastruktur s forenzními aspekty, zpracování dat pokročilých sensorů a algoritmy plánování v dopravě a logistice

Investor: Masaryk University

90140, large research infrastructures

Name: e-INFRA CZ

Citovat

@article{2276198,
   author = {Wittner, Rudolf and Holub, Petr and Mascia, Cecilia and Frexia, Francesca and Müller, Heimo and Plass, Markus and Allocca, Clare and Betsou, Fay and Burdett, Tony and Cancio, Ibon and Chapman, Adriane and Chapman, Martin and Courtot, Mélanie and Curcin, Vasa and Eder, Johann and Elliot, Mark and Exter, Katrina and Goble, Carole and Golebiewski, Martin and Kisler, Bron and Kremer, Andreas and Leo, Simone and LinandGibson, Sheng and Marsano, Anna and Mattavelli, Marco and Moore, Josh and Nakae, Hiroki and Perseil, Isabelle and Salman, Ayat and Sluka, James and SoilandandReyes, Stian and StrambioandDeandCastillia, Caterina and Sussman, Michael and Swedlow, Jason R and Zatloukal, Kurt and Geiger, Jörg},
   article_location = {UNITED STATES},
   article_number = {1},
   doi = {http://dx.doi.org/10.1002/lrh2.10365},
   keywords = {biotechnology; International Organization for Standardization; provenance information;standardization},
   language = {eng},
   issn = {2379-6146},
   journal = {LEARNING HEALTH SYSTEMS},
   title = {Toward a common standard for data and specimen provenance in life sciences},
   url = {https://doi.org/10.1002/lrh2.10365},
   volume = {8},
   year = {2024}
}

TY  - JOUR
ID  - 2276198
AU  - 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
PY  - 2024
TI  - Toward a common standard for data and specimen provenance in life sciences
JF  - LEARNING HEALTH SYSTEMS
VL  - 8
IS  - 1
SP  - 1-9
EP  - 1-9
PB  - WILEY
SN  - 23796146
KW  - biotechnology
KW  - International Organization for Standardization
KW  - provenance information;standardization
UR  - https://doi.org/10.1002/lrh2.10365
N2  - 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.
ER  -

Detailed Information on Publication Record