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

加强伦理研究政策和实践的本土数据治理方法

• 批准号: 2024269
• 负责人: Stephanie Carroll
• 金额: $ 50万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2024269&HistoricalAwards=false
• 关键词: Indigenous; Data; Governance; Approach; Enhancing

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.

该项目为制定知情政策创造了资源和概念模式，支持与土著人民合作的学术机构开展合乎道德和负责任的研究和数据做法。虽然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，而不是系统和协作的。这些问题通过使用创新的土著数据治理框架来解决，以审查促进或抑制整个STEM研究领域的道德设计，成果和方法的机构规范和实践，并解决制定机构政策和实践的障碍，这些政策和实践响应了土著人民的道德问题和优先事项。在这样做的过程中，它为早期职业，妇女和土著学者提供了研究领导机会，并通过提供工具来解决包容性和道德研究基础设施的历史障碍，改善了机构指导方针和实践。《联合国土著人民权利宣言》）和相关数据治理标准（即，《CARE土著数据治理原则》（CARE Principles for Indigenous Data Governance）这些资料来源被用来形成一个指导项目活动的规范矩阵。主要目标包括：（1）分析学术文献和机构政策，以制定评估与土著社区合作时伦理研究和数据实践的指标;（2）进行调查和访谈，以确定在类似殖民环境中采取的战略（例如，新西兰、澳大利亚、加拿大）;（3）确定支持或抑制土著社区伦理研究和数据实践的因素。该项目的一个核心特点是相关组成部分、权利持有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为项目的早期阶段提供信息，并参与共同制定指导方针。这些活动将促进对边缘化社区的伦理研究做法的了解，概述更普遍地增加伦理和负责任研究的方法，并通过让不同的知识系统和社区参与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，和可重复性。这个项目是共同的-该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识产权评估的支持。优点和更广泛的影响审查标准。