The Common Provenance Model: Capturing Distributed Provenance in Life Sciences Processes.

Common Provenance Model Provenance Composition Provenance information W3C PROV distributed processes

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 May 2022
Historique:
entrez: 25 5 2022
pubmed: 26 5 2022
medline: 27 5 2022
Statut: ppublish

Résumé

The distributed nature of modern research emphasizes the importance of collecting and sharing the history of digital and physical material, to improve the reproducibility of experiments and the quality and reusability of results. Yet, the application of the current methodologies to record provenance information is largely scattered, leading to silos of provenance information at different granularities. To tackle this fragmentation, we developed the Common Provenance Model, a set of guidelines for the generation of interoperable provenance information, and to allow the reconstruction and the navigation of a continuous provenance chain. This work presents the first version of the model, available online, based on the W3C PROV Data Model and the Provenance Composition pattern.

Identifiants

pubmed: 35612111
pii: SHTI220489
doi: 10.3233/SHTI220489
doi:

Types de publication

Journal Article

Langues

eng

Pagination

415-416

Auteurs

Francesca Frexia (F)

CRS4 - Center for Advanced Studies, Research and Development in Sardinia, Italy.

Cecilia Mascia (C)

CRS4 - Center for Advanced Studies, Research and Development in Sardinia, Italy.

Rudolf Wittner (R)

BBMRI-ERIC, Austria.
Masaryk University, Czech Republic.

Markus Plass (M)

Diagnostic and Research Institute of Pathology, Medical University of Graz, Austria.

Heimo Müller (H)

Diagnostic and Research Institute of Pathology, Medical University of Graz, Austria.

Jörg Geiger (J)

Interdisciplinary Bank of Biomaterials and Data Würzburg (ibdw), Germany.

Petr Holub (P)

BBMRI-ERIC, Austria.

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Classifications MeSH