The United Kingdom’s Race Disparity Audit, conducted in 2017, provides some learnings on how the reporting of government-held data can illuminate racial inequalities. The Audit required all Government Departments to identify what data they held across UK public services, including health, education, employment, and the criminal justice system, that could be analysed by ethnicity, with the aim of casting light on how people of different ethnicities are treated across public services. The collated data were then published on the UK Government’s permanent Ethnicity Facts and Figures website, which is regularly updated as data changes and new measures arise over time.13 While the Audit promotes transparency and accountability in government, these kinds of initiatives are distinct from research led by negatively racialised communities. A centralised and independent data base was viewed favourably by participants as a means of setting up mechanisms for effective accountability and monitoring processes and to provide community control and access to data. In its submission, FECCA argued that this would enable data collation formulations and assessments which account for impacts on culturally and linguistically diverse communities; mechanisms for collating data that are inclusive; and facilitating the availability of data including instructive non-public data. A 2022 review by the Centre for Resilient and Inclusive Societies (CRIS) also recommended the development of a national racism data management plan in close collaboration with state, local and community organisations, with the aim of having this plan feed into national, state, and local strategies for eradicating racism.14 Ensuring ethical approaches and processes around data collection was also a key concern amongst participants. This would help to protect communities from unethical data collection, management, and reporting that often results in deficit characterisations of First Nations peoples and those from migrant, refugee, and faith-based backgrounds that are negatively racialised. The FECCA Issues Paper recommends the application of the FAIR (Findable, Accessible, Interoperable, Reusable) Data Principles, which have received worldwide recognition as a useful framework for maximising use and reuse of data (Recommendation 7), 15 as well as a robust oversight mechanism for implementation and reporting.16 For Aboriginal and Torres Strait Islander participants, mechanisms to ensure data sovereignty were paramount. National Anti-Racism Framework Scoping Report 2022 | 88