End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.

ABSTRACT:

Background

The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how experiments are performed and how results are derived has become significantly more complex with the recent explosive growth of heterogeneous research data and methods. Therefore, it is important that the provenance of results is tracked, described, and managed throughout the research lifecycle starting from the beginning of an experiment to its end to ensure reproducibility of results described in publications. However, there is a lack of interoperable representation of end-to-end provenance of scientific experiments that interlinks data, processing steps, and results from an experiment's computational and non-computational processes.

SUBMITTER: Samuel S 

PROVIDER: S-EPMC8734275 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature