Community Data Curation Competencies Framework

Murillo, Angela P.; Yoon, Ayoung

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https://hdl.handle.net/2142/117365 Copy

Description

Title

Community Data Curation Competencies Framework

Author(s)

• Murillo, Angela P.
• Yoon, Ayoung

Issue Date

2023-03-13

Keyword(s)

• Data curation
• Community data and Data curation education

Abstract

Library and information science (LIS) professionals and educators have spearheaded data curation, providing services in research data management and scientific data curation, and delivering data curation education for the academic workforce. While public and private sector community organiza-tions, such as local government, non-profit organizations, and community-based organizations have become more data-driven, the specific data cura-tion needs of these organizations are not fully addressed in current data cura-tion research or education. This research aims to bridge this gap in existing data curation education by creating a community data curation competencies framework, developing a pilot curriculum based on this framework, and evaluating and disseminating the developed curriculum. This poster presents the preliminary results of the first phase of this project, where we developed a protocol to review existing data curation competencies to create the initial framework.

Publisher

iSchools

Series/Report Name or Number

iConference 2023 Proceedings

Type of Resource

• Other
• text

Language

eng

Handle URL

https://hdl.handle.net/2142/117365

Copyright and License Information

Copyright 2023 is held by Angela P. Murillo and Ayoung Yoon. Copyright permissions, when appropriate, must be obtained directly from the author.

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