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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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

  • 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