65th ISI World Statistics Congress 2025 | The Hague

65th ISI World Statistics Congress 2025 | The Hague

Indigenous Data, Sovereignty, and Ethical Statistical Practice Across Settings

Organiser

RT
Prof. Rochelle Tractenberg

Participants

  • AB
    PROF. DR. Ayse Aysin Bilgin
    (Chair)

  • DA
    Dee Alexander
    (Presenter/Speaker)
  • Interplay of the US Federal data ethics tenets and Indigenous Data Governance

  • WR
    PROF. DR. Walter J. Radermacher
    (Presenter/Speaker)
  • Indigenous data rights: An introduction

  • RT
    Prof. Rochelle Tractenberg
    (Presenter/Speaker)
  • Guidance on ethical practice with Indigenous data from established authorities on ethical statistical and data practice

  • DS
    Desi Small-Rodriguez
    (Presenter/Speaker)
  • The Decolonized Research Framework and ethical statistical practice

  • MH
    Michael Hawes
    (Presenter/Speaker)
  • Interplay of the US Federal data ethics tenets and Indigenous Data Governance

  • RA
    Randall Akee
    (Presenter/Speaker)
  • Perspectives on ethical collection, management, and use of Indigenous peoples’ data in North American industrial contexts

  • SS
    Shadana Sultan
    (Presenter/Speaker)
  • Perspectives on ethical collection, management, and use of Indigenous peoples' data in North American industrial contexts

  • DT
    Mr Dennis J. Trewin
    (Discussant)

  • Category: International Statistical Institute

    Proposal Description

    Supporting Indigenous Data Sovereignty means encouraging meaningful participation in design, and ownership and control of data that is collected, by the Peoples themselves when the data are about or from Indigenous Peoples. While the definition of "Indigenous Data" may be coherent world wide, different Sovereign entities and advocy groups articulate a need for "data governance", "data sovereignty", “data rights" and/or “co-design”. Amidst global initiatives to promote "Indigenous Data Sovereignty", the ethical statistical practitioner needs reliable guidance. Practitioners in science, industry, and government contexts need to be ethical and attentive when working collecting, managing, and working with data from 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. In this session, presenters will discuss the Decolonized Research Framework and the CARE Principles for Indigenous Data Governance, and the guidance for ethically engaging in data collection, analysis, management, and interpretation/communication will be considered from the perspectives of international frameworks and guidance on ethical practice. Presenters will consider alignment and gaps between principles and frameworks from Indigenous Peoples and ethical guidelines.