Implementing the CARE Principles for Indigenous Data Governance in Biodiversity Data Management

Riley Taitingfong, Stephanie Carroll
{"title":"Implementing the CARE Principles for Indigenous Data Governance in Biodiversity Data Management","authors":"Riley Taitingfong, Stephanie Carroll","doi":"10.3897/biss.7.112615","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":9011,"journal":{"name":"Biodiversity Information Science and Standards","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodiversity Information Science and Standards","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3897/biss.7.112615","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在生物多样性数据管理中实施土著数据治理的CARE原则
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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Meeting Report for the Phenoscape TraitFest 2023 with Comments on Organising Interdisciplinary Meetings Implementation Experience Report for the Developing Latimer Core Standard: The DiSSCo Flanders use-case Structuring Information from Plant Morphological Descriptions using Open Information Extraction The Future of Natural History Transcription: Navigating AI advancements with VoucherVision and the Specimen Label Transcription Project (SLTP) Comparative Study: Evaluating the effects of class balancing on transformer performance in the PlantNet-300k image dataset
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1