Lightweight Distributed Provenance Model for Complex Real–world Environments
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F22%3A00126457" target="_blank" >RIV/00216224:14610/22:00126457 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1038/s41597-022-01537-6" target="_blank" >https://doi.org/10.1038/s41597-022-01537-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41597-022-01537-6" target="_blank" >10.1038/s41597-022-01537-6</a>
Alternative languages
Result language
angličtina
Original language name
Lightweight Distributed Provenance Model for Complex Real–world Environments
Original language description
Provenance is information describing the lineage of an object, such as a dataset or biological material. Since these objects can be passed between organizations, each organization can document only parts of the objects life cycle. As a result, interconnection of distributed provenance parts forms distributed provenance chains. Dependant on the actual provenance content, complete provenance chains can provide traceability and contribute to reproducibility and FAIRness of research objects. In this paper, we define a lightweight provenance model based on W3C PROV that enables generation of distributed provenance chains in complex, multi-organizational environments. The application of the model is demonstrated with a use case spanning several steps of a real-world research pipeline — starting with the acquisition of a specimen, its processing and storage, histological examination, and the generation/collection of associated data (images, annotations, clinical data), ending with training an AI model for the detection of tumor in the images. The proposed model has become an open conceptual foundation of the currently developed ISO 23494 standard on provenance for biotechnology domain.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Data
ISSN
2052-4463
e-ISSN
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Volume of the periodical
2022
Issue of the periodical within the volume
9
Country of publishing house
DE - GERMANY
Number of pages
19
Pages from-to
1-19
UT code for WoS article
000842397500003
EID of the result in the Scopus database
2-s2.0-85136068732