| Autor: |
Osmenaj, Elda, Antonio, Fabrizio, Kulüke, Marco, Rodani, Tommaso, Fiore, Sandro, Elia, Donatello, D'anca, Alessandro, Panighel, Mirco, Cazzaniga, Alberto, Africh, Cristina, Cozzini, Stefano |
| Rok vydání: |
2022 |
| Předmět: |
|
| DOI: |
10.5281/zenodo.6797843 |
| Popis: |
Due to the increasing complexity of data analysis workflows, provenance management is a key component to support the re-use of scientific data. Alongside findability, accessibility and interoperability, the reusability of data constitutes a pillar of the FAIR principles and in this regard rich and reliable provenance is essential to ensure that. In the context of the EOSC-Pillar project, Work Package 6 (EOSC in action: Use cases and community-driven pilots) delivers use cases to analyze different tools and services used for the "FAIRification". Among them, our use case (UC1: Defining procedures and services to enforce data provenance for thematic communities and beyond) aims at elaborating cross-domain, FAIR-oriented procedures and recommendations to enforce data provenance by taking into account needs coming from two scientific domains: Materials Science/Nanoscience and Climate Science. In such a context, (W3C) PROV standard has been considered a recommended family of specifications for tracking processes and responsibilities as well as describing provenance structures within complex experiments and large workflows on scientific data. Starting from the W3C PROV data model and ontology, the PROV Core concepts have been applied in the form of adaptations and extensions on top of the existing scientific data services, to enhance provenance capabilities, thus addressing FAIR-oriented full provenance management. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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