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Lightweight Distributed Provenance Model for Complex Real–world Environments

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WITTNER Rudolf MASCIA Cecilia GALLO Matej FREXIA Francesca MÜLLER Heimo PLASS Markus GEIGER Jörg HOLUB Petr

Rok publikování 2022
Druh Článek v odborném periodiku
Časopis / Zdroj Scientific Data
Fakulta / Pracoviště MU

Ústav výpočetní techniky

Citace
www https://doi.org/10.1038/s41597-022-01537-6
Doi http://dx.doi.org/10.1038/s41597-022-01537-6
Klíčová slova provenance;reproducibility;traceability;PROV
Popis 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.

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