Academic Libraries as Partners in Data Literacy Education—An Explorative Case Study

The concept of the ‘teaching library’, which originated in the Anglo-American world, describes all activities of libraries in the field of promoting information, media, and data literacy, as well as other skills in dealing with analog and digital media. Although data literacy is explicitly mentioned in this definition, many training courses in academic libraries seem to focus more on promoting library use, information, and media literacy. Given that the creation of data management plans, along with the indexing, storage, and reuse of research data, have become standard elements of the research process, this article discusses the growing importance of academic libraries in teaching data literacy. It presents a modular course framework, developed in exchange with the university library, as a reusable model for data literacy education. The primary objective is to introduce this framework and illustrate its application; preliminary, exploratory insights from a self-assessment survey are provided to support this presentation. The limited participant count in the pre- and post-evaluations restricts the statistical generalizability of the findings but provides a solid empirical impression of the effectiveness of the course format. Results indicate substantial learning progress in fields where academic libraries have proven expertise. The main conclusion is that such library-integrated interdisciplinary courses provide a valuable framework for data literacy education and highlight strategic areas for library involvement.

Authors

Publication Details

Journal
ePublications (Technical University of Cologne)
Published
2026-01-01
DOI
https://doi.org/10.57683/epub-3163
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Academic Libraries as Partners in Data Literacy Education—An Explorative Case Study

Elisabeth Kaliva, Martina Echtenbruck, Simone Fühles-Ubach
ePublications (Technical University of Cologne)
Research Data Management Practices
article

Academic Libraries as Partners in Data Literacy Education—An Explorative Case Study

Elisabeth Kaliva, Martina Echtenbruck, Simone Fühles-Ubach
article en

Abstract

The concept of the ‘teaching library’, which originated in the Anglo-American world, describes all activities of libraries in the field of promoting information, media, and data literacy, as well as other skills in dealing with analog and digital media. Although data literacy is explicitly mentioned in this definition, many training courses in academic libraries seem to focus more on promoting library use, information, and media literacy. Given that the creation of data management plans, along with the indexing, storage, and reuse of research data, have become standard elements of the research process, this article discusses the growing importance of academic libraries in teaching data literacy. It presents a modular course framework, developed in exchange with the university library, as a reusable model for data literacy education. The primary objective is to introduce this framework and illustrate its application; preliminary, exploratory insights from a self-assessment survey are provided to support this presentation. The limited participant count in the pre- and post-evaluations restricts the statistical generalizability of the findings but provides a solid empirical impression of the effectiveness of the course format. Results indicate substantial learning progress in fields where academic libraries have proven expertise. The main conclusion is that such library-integrated interdisciplinary courses provide a valuable framework for data literacy education and highlight strategic areas for library involvement.

ePublications (Technical University of Cologne)
Bundesministerium für Bildung und Forschung
Quality Education
Openalex Percentile: Top 96%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.