Work

Towards dimensions and granularity in a unified workflow and data provenance framework

Year: 2024

Type: article

Abstract: This poster presents the paper of the authors at the LWDA 2024: 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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13787564

Authors: Auge, Tanja, Genehr, Sascha, Klettke, Meike, Krüger, Frank, Schröder, Max

Institutions: University of Regensburg, University of Rostock, Wismar University of Applied Sciences

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Award: SFB 1270: ELektrisch Aktive ImplaNtatE – ELAINE