Research Dataset Documentation Agent

Dataset documentation often leaves out processing steps that were actually applied, so other researchers cannot understand or trust the data. This agent runs when a dataset is prepared for sharing. It traces provenance through the transformation logs and scripts, step by step, from raw input to final file. It checks whether every change in the data, such as rows removed or values recoded, matches a logged step. When a change has no log, it records an explicit documentation gap for the data steward instead of inventing a method description. It then drafts documentation from what was observed, compares the draft with the logs once more, and the data steward approves publication. Edge case: a manual edit in a spreadsheet with no log is listed as an undocumented step, even if someone remembers doing it.