在生物多样性数据管理中实施土著数据治理的CARE原则

Riley Taitingfong, Stephanie Carroll
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引用次数: 0

摘要

土著数据治理是维护土著权利和促进生物多样性研究和数据管理方面的公平伙伴关系的一个关键方面。据估计,地球上80%的生物多样性存在于土著土地上(Sobrevila 2008),从土著土地上采集的标本中获得的大多数土著数据由非土著实体和机构持有。CARE原则(集体利益、控制权力、责任和道德)旨在指导将土著人民纳入数据治理,并增加他们对数据的获取和受益(Carroll et al. 2020)。本次演讲将分享新兴的工具和资源,这些工具和资源可以用来在存储库和机构中实现持有本地数据的CARE原则。本次演讲重点介绍了在存储库中促进本地数据治理的两个主要工具:一个分阶段的框架,通过基础学习和具体步骤指导土著数据的第三方持有者在各自的环境中应用CARE原则,以及CARE标准,一个评估工具,研究人员和机构可以通过它来评估CARE实施的成熟度,确定需要改进的领域,并允许其他实体(如资助者和出版商)评估CARE的合规性。一个分阶段的框架,通过基础学习和具体步骤指导土著数据的第三方持有者在各自的环境中应用CARE原则,以及CARE标准,一个评估工具,研究人员和机构可以通过它来评估CARE实施的成熟度,确定需要改进的领域,并允许其他实体(如资助者和出版商)评估CARE的合规性。
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Implementing the CARE Principles for Indigenous Data Governance in Biodiversity Data Management
Indigenous data governance is a critical aspect of upholding Indigenous rights and fostering equitable partnerships in biodiversity research and data management. An estimated 80% of the planet’s biodiversity exists on Indigenous lands (Sobrevila 2008), and the majority of Indigenous data derived from specimens taken from Indigenous lands are held by non-Indigenous entities and institutions. The CARE Principles (Collective benefit, Authority to control, Responsibility, and Ethics) are designed to guide the inclusion of Indigenous peoples in data governance, and increase their access to and benefit from data (Carroll et al. 2020). This talk will share emerging tools and resources that can be leveraged to implement the CARE Principles within repositories and institutions that hold Indigenous data. This talk highlights two primary tools to promote Indigenous data governance in repositories: a phased framework to guide third-party holders of Indigenous data through foundational learning and concrete steps to apply the CARE principles in their respective settings, and the CARE criteria, an assessment tool by which researchers and institutions can evaluate the maturity of CARE implementation, identify areas for improvement, and allow other entities such as funders and publishers to evaluate CARE compliance. a phased framework to guide third-party holders of Indigenous data through foundational learning and concrete steps to apply the CARE principles in their respective settings, and the CARE criteria, an assessment tool by which researchers and institutions can evaluate the maturity of CARE implementation, identify areas for improvement, and allow other entities such as funders and publishers to evaluate CARE compliance.
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