
Since 2016, the implementation of the FAIR Principles encouraged re-thinking how data are managed, particularly regarding Indigenous communities which, due to the processes of colonisation, had very little impact on their knowledge and data. Hence, in 2018 the CARE Principles were drafted with the aim to tackle past injustices and support Indigenous communities in governing their data. However, the CARE implementation has not been straightforward as researchers, information experts and Indigenous Peoples faced many challenges starting from the lack of IT infrastructure, skills, funding and metadata. Therefore, successful implementation of the CARE Principles requires significant financial and human resources. It has been six years since the CARE principles were published. The aim of this presentation is to demonstrate the obstacles of implementing them, whilst arguing that the process is one of the biggest contemporary challenges in data curation and the best solutions will eventually be found.
The attached files include the slides and recording of this paper and an edited transcript. The transcript can be viewed using a text editor such as Notepad or used for subtitles. Part of Lightning talks: Sharing responsibly while navigating risks, ethics, and community needs.
Open and Engaged 2025: Who Owns Our Knowledge?
Paper, Metadata, CARE Principles, CARE, Indigenous, FAIR Principles, decolonisation, Indigenous data, Indigenous knowledge, Data sovereignty and trusting people and communities to have power over their own data and its (re)use, Working with and sharing sensitive data, Decolonisation, Identifying curation knowledge and skill needs, Movements in open research and data rescue, FAIR
Paper, Metadata, CARE Principles, CARE, Indigenous, FAIR Principles, decolonisation, Indigenous data, Indigenous knowledge, Data sovereignty and trusting people and communities to have power over their own data and its (re)use, Working with and sharing sensitive data, Decolonisation, Identifying curation knowledge and skill needs, Movements in open research and data rescue, FAIR
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