Towards a Common Standard for Data and Specimen Provenance in Life Sciences

Petr Holub, Rudolf Wittner, 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, Elliot Fairweather, Carole Goble, Martin GolebiewskiBron Kisler, Andreas Kremer, 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 Swedlow, Kurt Zatloukal, Jörg Geiger

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Abstract

The exchange of biological material and data has become an issue of major importance for research in biotechnology. At the same time, many reports indicate problems with quality, trustworthiness and reproducibility of research results, mainly due to poor documentation of data generation or collection of samples. Consequently, there is an urgent need for improved and standardized documentation of data and specimen used in research studies. In response to these issues, we are developing a provenance information standard for the biotechnology domain within the ISO Technical Committee 276 “Biotechnology”. The major objectives of the standard, now registered as ISO/WD 23494, are improved reproducibility of research results, enabling the assessment of the quality of biological samples and data, traceability and higher reliability of observations. We are convinced that the standardization project is of substantial interest to a broader audience, who we would also invite to comment and contribute to this comprehensive effort.
Original languageEnglish
Number of pages12
DOIs
Publication statusPublished - 2021

Publication series

NameZenodo
PublisherCERN

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  • Towards a common standard for data and specimen provenance in life sciences

    Wittner, R., Holub, P., Mascia, C., Frexia, F., Müller, H., Plass, M., Allocca, C., Betsou, F., Burdett, T., Cancio, I., Chapman, A., Chapman, M., Courtot, M., Curcin, V., Eder, J., Elliot, M., Exter, K., Goble, C., Golebiewski, M., Kisler, B., & 16 othersKremer, A., Leo, S., Lin-Gibson, S., Marsano, A., Mattavelli, M., Moore, J., Nakae, H., Perseil, I., Salman, A., Sluka, J., Soiland-Reyes, S., Strambio-De-Castillia, C., Sussman, M., Swedlow, J. R., Zatloukal, K. & Geiger, J., 18 Apr 2023, (E-pub ahead of print) In: Learning Health Systems. e10365.

    Research output: Contribution to journalComment/debatepeer-review

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  • ISO 23494: Biotechnology - Provenance Information Model for Biological Specimen and Data

    Wittner, R., Holub, P., Müller, H., Geiger, J., Goble, C., Soiland-Reyes, S., Pirredu, L., Frexia, F., Mascia, C., Fairweather, E., Swedlow, J. R., Moore, J., Strambio, C., Zanetti, G., Grunwald, D. & Nakae, H., 9 Jul 2021, Lecture Notes in Computer Science. Springer Nature, Vol. 12839. p. 222-225 4 p. (Lecture Notes in Computer Science).

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