Capturing data provenance involves documenting various stages of the data lifecycle, including:
Data Collection: Recording the source of data, collection methods, and any instruments used. Data Processing: Documenting any cleaning, transformation, or aggregation steps performed on the data. Data Analysis: Keeping track of statistical methods, models, and software used for data analysis. Data Storage: Keeping records of where and how data is stored, along with any access controls.
Various tools and frameworks, such as the W3C PROV model, are available to help systematize the capture and management of provenance information.
