An Indigenous Data Governance Approach for Enhancing Ethical Research Policies and Practices

该项目创建了资源和概念模式，以制定明智的政策，支持与土著人民合作的学术机构的道德和负责任的研究和数据做法。尽管对科学的公共投资带来了许多社会效益，但研究并不总是以道德和负责任的方式进行，特别是在涉及土著居民的研究中。此外，解决有害研究做法的努力往往是被动和肤浅的，而不是系统和合作的。解决这些问题的办法是，利用创新的土著数据治理框架，审查在整个STEM研究领域促进或抑制伦理设计、成果和方法的体制规范和做法，并解决制定回应土著人民伦理关切和优先事项的体制政策和做法的障碍。该项目通过借鉴国际规范(即《联合国土著人民权利宣言》)和相关数据治理标准(即《土著数据治理关爱原则》)，制定了一个土著数据治理框架，从而为早期职业、妇女和土著学者提供了研究领导机会，并通过提供工具解决包容性和伦理研究基础设施的历史障碍，改进了体制准则和做法。这些来源被用来形成一个指导项目活动的标准矩阵。主要目标包括：(1)分析学术文献和体制政策，以便在与土著社区合作时制定评估伦理研究和数据做法的指标；(2)开展调查和访谈，以确定在类似殖民背景下(如新西兰、澳大利亚、加拿大)采取的战略；(3)查明支持或阻碍土著社区伦理研究和数据做法的因素。该项目的一个主要特点是相关组成部分、权利人和利益攸关方在制定指标、因素和资源方面的双向参与。土著和主流专家以及土著领导人和社区成员将帮助了解该项目的早期阶段，并参与共同制定准则。这些活动将促进对边缘化社区的伦理研究实践的了解，概述更广泛地增加伦理和负责任的研究的方法，并通过参与不同的知识系统和社区来促进伦理和负责任的研究，以提高研究数据的相关性、质量和重复性。该项目由BIO和CISE理事会共同资助。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project creates resources and a conceptual schema for developing informed policies that support ethical and responsible research and data practices at academic institutions working with Indigenous Peoples. Although public investment in science has led to numerous societal benefits, research has not always been conducted in ethical and responsible ways, especially in studies involving Indigenous populations. Moreover, efforts to address harmful research practices have tended to be reactive and superficial rather than systematic and collaborative. These issues are addressed by using an innovative Indigenous data governance framework to review institutional norms and practices that promote or inhibit ethical design, outcomes, and approaches across the STEM research landscape and address barriers to developing institutional policies and practices that are responsive to the ethical concerns and priorities of Indigenous Peoples. In so doing it provides research leadership opportunities for early career, women, and Indigenous scholars, and improves institutional guidelines and practices by providing tools to address historical barriers to inclusive and ethical research infrastructures.This project develops an Indigenous data governance framework by drawing on international norms (i.e., the United Nations Declaration on the Rights of Indigenous Peoples) and relevant data governance standards (i.e., the CARE Principles for Indigenous Data Governance). These sources are used to form a normative matrix that guides project activities. Major goals include: (1) analyzing scholarly literature and institutional policies to develop indicators for assessing ethical research and data practices when working with Indigenous communities; (2) conducting surveys and interviews to identify strategies adopted in similar colonial contexts (e.g., New Zealand, Australia, Canada); and (3) identifying factors that support or inhibit ethical research and data practices with respect to Indigenous communities. A central feature of the project is bi-directional engagement of relevant constituents, rights-holders, and stakeholders in developing indicators, factors, and resources. Indigenous and mainstream experts and Indigenous leaders and community members will help inform the project’s early stages and participate in co-developing guidelines. These activities will advance knowledge of ethical research practices with respect to marginalized communities, outline methods for increasing ethical and responsible research more generally, and promote ethical and responsible research by engaging diverse knowledge systems and communities to increase research data relevance, quality, and reproducibility.This project was co-funded by the BIO and CISE directorates.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.