Data competency for academic librarians: Evaluating present trends and future prospects
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Academic libraries have shifted from managing bibliographic resources to actively managing research and institutional data.
“Libraries are no longer limited to managing bibliographic resources.They are now actively involved in managing research and institutional data.”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo & Tang, 2024
Data-related tasks are distributed across multiple units including cataloguing, systems and research support.
“Data-related tasks are distributed across multiple units including cataloguing, systems and research support”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo & Tang, 2024
Data-related tasks are often embedded within traditional roles and distributed across multiple units rather than formalised as distinct positions.
“often embedded within traditional roles and distributed across multiple units rather than formalised as distinct positions”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo & Tang, 2024
The embedded and distributed nature of data work in academic libraries is reflected in these findings.
“This reflects the embedded and distributed nature of data work in academic libraries (Federer, 2018;Luo & Tang, 2024) and confirms that the proposed governance model is not a call for new positions, but a framework for recognising responsibilities already performed within existing roles.”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo & Tang, 2024
These findings are consistent with previous studies linking librarians' data practices to institutional evaluation and decision-making.
“These findings are consistent with previous studies linking librarians' data practices to institutional evaluation and decision-making.”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo and Tang (2024)
Luo and Tang (2024) demonstrate that analytics, curation, and visualisation enhance library assessment capabilities.
“Luo and Tang (2024) demonstrate that analytics, curation, and visualisation enhance library assessment capabilities, while Laskowski (2021) and Shahzad et al. (2024) associate data practices with institutional analytics and decision support.”
From Librarians’ roles and responsibilities in managing data within academic libraries: A role-based data governance model (2026) · cites this paper as Luo and Tang (2024)
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Core Competencies for Cataloging and Metadata Professional Librarians
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Self-citationSkills for future university librarians
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“This reflects the embedded and distributed nature of data work in academic libraries (Federer, 2018; Luo & Tang, 2024) and confirms that the proposed governance model is not a call for new positions, but a framework for recognising responsibilities already performed within existing roles.”
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- Authors
- Luo, J., & Tang, R.
- Affiliations
- New York University (US)
- Simmons University (US)
- Corresponding author
- Luo, Jiebei
- Venue
- The Journal of Academic Librarianship
- Publisher
- Elsevier BV
- Published
- 2024-07
- Volume
- 50
- Issue
- 4
- Pages
- 102897
- ISSN
- 0099-1333 (ISSN-L)
- OpenAlex
- W4399041404
- Cited by
- 15
- References
- 22
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 1
- FWCI
- 17.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Journal of Academic Librarianship (publishedVersion)
- Topics
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Physical Sciences › Computer Science › Information Systems › Library Science and Information
- Keywords
- data competencies, academic librarians, librarian roles, data visualization, data management, collection development, professional development, library and information science education, curriculum gaps, librarian perceptions
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