Capturing data provenance involves several methods and tools:
Electronic Lab Notebooks (ELNs): Digital platforms where researchers can record experimental details, observations, and data in a structured manner. Data Management Systems: Software solutions that help in organizing, storing, and tracking data and its provenance. Automated Instrument Logs: Instruments can automatically log data and metadata, ensuring accurate provenance capture. Version Control Systems: Tools like Git can track changes to data and code, providing a history of modifications.
