Presentation Type

Lightning Talk

Date

2023-11-16

Description

The CARE data principles (Collective benefit, Authority to control, Responsibility, and Ethics) are a conceptual framework meant to ensure ethical collection, sharing, and stewardship of Indigenous data. As part of a workshop hosted by the Data Curation Network in 2022, librarians created a foundational data curation primer on the CARE data principles and how they apply to data management, curation, and sharing. The primer touches on the cultural context regarding the CARE data principles, the historical misuse of Indigenous data, tribal sovereignty, and Indigenous Peoples' right to governance of their data. This session will discuss how CARE principles can be applied and give specific use examples. Librarians can use the primer and CURATE(D) checklist, to consider the ethical use, sharing and preservation of Indigenous data within their institutional repositories.

Keywords

Institutional repositories; CARE Data Principles

Open Access

1

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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Nov 16th, 3:55 PM Nov 16th, 4:05 PM

CARE Data Principles Data Curation Primer

The CARE data principles (Collective benefit, Authority to control, Responsibility, and Ethics) are a conceptual framework meant to ensure ethical collection, sharing, and stewardship of Indigenous data. As part of a workshop hosted by the Data Curation Network in 2022, librarians created a foundational data curation primer on the CARE data principles and how they apply to data management, curation, and sharing. The primer touches on the cultural context regarding the CARE data principles, the historical misuse of Indigenous data, tribal sovereignty, and Indigenous Peoples' right to governance of their data. This session will discuss how CARE principles can be applied and give specific use examples. Librarians can use the primer and CURATE(D) checklist, to consider the ethical use, sharing and preservation of Indigenous data within their institutional repositories.