Towards dimensions and granularity in a unified workflow and data provenance framework
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866908320611172352 |
|---|---|
| author | Auge, Tanja Genehr, Sascha and, Meike Klettke Krüger, Frank Schröder, Max |
| author_facet | Auge, Tanja Genehr, Sascha and, Meike Klettke Krüger, Frank Schröder, Max |
| contents | Provenance information are essential for the traceability of scientific studies or experiments and thus crucial for ensuring the credibility and reproducibility of research findings. This paper discusses a comprehensive provenance framework combining the two types 1. workflow provenance, and 2. data provenance as well as their dimensions and granularity, which enables the answering of W7+1 provenance questions. We demonstrate the applicability by employing a biomedical research use case, that can be easily transferred into other scientific fields. An integration of these concepts into a unified framework enables credibility and reproducibility of the research findings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_11278 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards dimensions and granularity in a unified workflow and data provenance framework Auge, Tanja Genehr, Sascha and, Meike Klettke Krüger, Frank Schröder, Max Databases Provenance information are essential for the traceability of scientific studies or experiments and thus crucial for ensuring the credibility and reproducibility of research findings. This paper discusses a comprehensive provenance framework combining the two types 1. workflow provenance, and 2. data provenance as well as their dimensions and granularity, which enables the answering of W7+1 provenance questions. We demonstrate the applicability by employing a biomedical research use case, that can be easily transferred into other scientific fields. An integration of these concepts into a unified framework enables credibility and reproducibility of the research findings. |
| title | Towards dimensions and granularity in a unified workflow and data provenance framework |
| topic | Databases |
| url | https://arxiv.org/abs/2504.11278 |