Community Data Curation Competencies Framework

Date
2023-03
Language
English
Embargo Lift Date
Committee Members
Degree
Degree Year
Department
Grantor
Journal Title
Journal ISSN
Volume Title
Found At
iSchools
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.

Description
item.page.description.tableofcontents
item.page.relation.haspart
Cite As
Murillo, A. P., & Yoon, A. (2023). Community Data Curation Competencies Framework. iConference 2023 Proceedings. https://hdl.handle.net/2142/117365
ISSN
Publisher
Series/Report
Sponsorship
Major
Extent
Identifier
Relation
Journal
iConference 2023 Proceedings
Source
Author
Alternative Title
Type
Article
Number
Volume
Conference Dates
Conference Host
Conference Location
Conference Name
Conference Panel
Conference Secretariat Location
Version
Author's manuscript
Full Text Available at
This item is under embargo {{howLong}}