Data provenance is crucial in catalysis for several reasons:
Reproducibility: With detailed provenance information, researchers can replicate experiments and validate results, which is essential for scientific progress. Data Integrity: It ensures that the data used in research is accurate and has not been tampered with, thereby maintaining the reliability of the findings. Transparency: Provenance provides a transparent view of how data was collected, processed, and analyzed, fostering trust in the research outcomes. Collaboration: Detailed provenance information facilitates collaboration among researchers by providing a clear understanding of the data and methodologies used.
