Use good data management to understand, describe and use data across its lifecycle and, where needed and possible, prepare it for sharing outside the agency, considering the Office of the National Data Commissioner's data sharing principles; manage preparation processes such as cleansing, matching and formatting for analytics under current government guidance (for example the OAIC's guidance on government data matching); have a data quality standard, respond to data quality issues and ideally monitor and address them proactively, with quality effort matched to the data's use and criticality, so that data behind activities with direct impact on individuals, communities and businesses (such as audit, enforcement and compliance) is highly accurate and scrutinised, with appropriate oversight and assurance.
This control maps to 2 controls across 2 other frameworks. If you already hold one of them, the evidence you collected for it is the starting point here rather than new work.
Every mapping shown was judged rather than inferred from wording similarity, and the ones that failed review are published too. See the coverage reports and what was rejected.
The graph holds this control, the 2 it maps to, and the evidence behind each claim, over MCP and REST.