"To ensure the uptake of best practices for responsible data acquisition, handling, and management across your AI project delivery workflow, you should initiate the creation of a Dataset Factsheet at the alpha stage of your project. This factsheet should be maintained diligently throughout the design and implementation lifecycle in order to secure optimal data quality, deliberate bias-mitigation aware practices, and optimal auditability. It should include a comprehensive record of data provenance, procurement, pre-processing, lineage, storage, and security as well as qualitative input from team members about determinations made with regard to data representativeness, data sufficiency, source integrity, data timeliness, data relevance, training/testing/validating splits, and unforeseen data issues encountered across the workflow." (Leslie, 2019, p. 16)