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License: CC BY
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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2021 . Peer-reviewed
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ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen And Data

Authors: Rudolf Wittner; Petr Holub; Heimo Müller; Jörg Geiger; Carole A. Goble; Stian Soiland-Reyes; Luca Pireddu; +8 Authors

ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen And Data

Abstract

Exchange of research data and samples in biomedical research has become a common phenomenon, demanding for their effective quality assessment. At the same time, several reports address reproducibility of research, where history of biological samples (acquisition, processing, transportation, storage, and retrieval) and data history (data generation and processing) define their fitness for purpose, and hence their quality. This project aims to develop a comprehensive W3C PROV based provenance information standard intended for the biomedical research domain. The standard is being developed by the working group 5 (“data processing and integration”) of the ISO (International Standardisation Organisation) technical committee 276 “biotechnology”. The outcome of the project will be published in parts as international standards or technical specifications. The poster informs about the goals of the standardisation activity, presents the proposed structure of the standards, briefly describes its current state and outlines its future development and open issues.

Countries
Netherlands, United Kingdom, United Kingdom
Keywords

570, Provenance, /dk/atira/pure/subjectarea/asjc/2600/2614, Standardization, name=Theoretical Computer Science, Biotechnology, /dk/atira/pure/subjectarea/asjc/1700/1700, name=General Computer Science

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%
Green
Related to Research communities
EGI : advanced computing for research