Data Provenance in Scientific Workflows

Data provenance in scientific workflows refers to the detailed record of how data is generated, processed, and transformed throughout a research project. It documents each step, the tools and methods used, and the sources involved, ensuring transparency and reproducibility. This helps scientists verify results, understand the data's history, and replicate experiments accurately. Essentially, data provenance acts as a comprehensive audit trail, providing confidence that the data has been handled consistently and responsibly during the research process.