CARE Directs Us Home: Prioritizing Indigenous Peoples’ Community Standards Communiqué

In 2019, the Global Indigenous Data Alliance (GIDA) developed and published the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, Ethics) to complement the FAIR principles for open scientific data management (Findable, Accessible, Interoperable, Reusable) (Wilkinson et al., 2016; Carroll et al., 2020, Carroll S. R. et al., 2021). FAIR are data-centric, focusing on the attributes of data objects themselves. The CARE Principles serve as high-level guidance toward more equitable creation, collection, use, and storage of Indigenous data that focuses on the people to whom data relate, and the purpose for which those data are collected, analyzed, and used. In the six years since their original publication, the CARE Principles have garnered significant interest and induced uptake, informing policy and processes across many institutions, governments, organizations, communities, Tribal Nations, and other data-related entities. There has also been interest in applying the principles and framework beyond Indigenous contexts (Lipphardt et al 2021; Suchikova and Nazarovets 2025).2019年，全球原住民数据联盟（Global Indigenous Data Alliance, GIDA）制定并发布了《原住民数据治理CARE原则》（Collective Benefit, Authority to Control, Responsibility, Ethics），作为开放科学数据管理FAIR原则（Findable, Accessible, Interoperable, Reusable，Wilkinson等人，2016；Carroll等人，2020；Carroll S. R.等人，2021）的补充框架。FAIR原则以数据为核心，聚焦于数据对象自身的属性特征。CARE原则则作为高层次指导规范，致力于推动原住民数据的公平创建、采集、使用与存储，其核心关切数据所关联的人群，以及数据被采集、分析与使用的初衷。自该原则首次发布以来的六年间，CARE原则已获得广泛关注并得到实际落地应用，为众多机构、政府、组织、社区、原住民部落及其他数据相关主体的政策制定与流程规范提供了重要指引。此外，亦有研究探索将该原则与框架拓展应用至原住民范畴之外的场景（Lipphardt等人，2021；Suchikova与Nazarovets，2025）。