Abstract

The ethical statistics practitioner has multiple resources for guiding all work with data. Comprehensive guidance for ethical statistical practice comes from the American Statistical Association. Guidance is also provided by the International Statistics Institute. Ethical Official Statistics work is guided in the United States by the Data Ethics Tenets; while in Europe it is the European statistical agency (Eurostat) Code of Practice. Internationally, ethical statistical practice in official settings is guided by the Fundamental Principles of Official Statistics of the United Nations. These varied guidelines tend to agree among themselves, with gaps in guidance only existing for specific prioritization of key elements or Principles - for example, whether to prioritize timeliness over precision; and how to balance the concerns of stakeholders if these are, or appear to be, in conflict. A recently evolving stakeholder is Indigenous Peoples. This group is "evolving" because new definitions and frameworks are being created and promulgated worldwide. "Indigenous Data" includes both information and biological material (e.g., genetic data) obtained from individuals affiliated with indigenous groups whether these are sovereign or not. Different Sovereign entities and advocacy groups are focused on "data governance", "data sovereignty", “data rights" and/or “co-design". The ethical statistical practitioner in science, industry, and government contexts needs guidance for designing the collection and analysis of Indigenous Data, as well as for collecting, managing, and working with data from these and all sources. Moreover, instructors who are training the next generation of statistical and data science practitioners also need coherent guidance so they can teach and support ethical statistics and data science practice with all peoples' data. This presentation will explore alignment between the ethical practice guidance provided for practitioners of statistics and data science from recognized authorities, and how to integrate rights asserted in the Indigenous Design and Innovation Aotearoa Decolonized Research Framework (DRF) and the Collective Benefit, Authority to Control, Responsibility, Ethics (CARE) Principles of Data Governance.