D4.2: Learning paths for data professionals

This final deliverable for Skills4EOSC Work Package 4 (WP4) "Curricula and Learning Paths for Open Science-Ready Institutions" presents the outcomes of Task 4.2 on Learning Paths for Data Professionals. It offers an executive overview and synthesis of detailed reports that document the design, implementation, evaluation, and refinement of three distinct learning paths focused on open licensing, reproducible research, and ethical-legal-social issues (ELSI). These learning paths were co-created by a distributed team and piloted with learners across Europe. The report captures instructional strategies, content reuse practices, quality assurance processes, and alignment with Minimum Viable Skillset (MVS) profiles. It also discusses key challenges such as platform usability, time constraints, and the learning curve for new tools like GitHub. The deliverable contributes actionable insights for developing FAIR-by-Design (FbD) learning content and offers recommendations for broader institutional adoption.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-30
DOI
https://doi.org/10.5281/zenodo.15691090
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

D4.2: Learning paths for data professionals

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

D4.2: Learning paths for data professionals

article en

Abstract

This final deliverable for Skills4EOSC Work Package 4 (WP4) "Curricula and Learning Paths for Open Science-Ready Institutions" presents the outcomes of Task 4.2 on Learning Paths for Data Professionals. It offers an executive overview and synthesis of detailed reports that document the design, implementation, evaluation, and refinement of three distinct learning paths focused on open licensing, reproducible research, and ethical-legal-social issues (ELSI). These learning paths were co-created by a distributed team and piloted with learners across Europe. The report captures instructional strategies, content reuse practices, quality assurance processes, and alignment with Minimum Viable Skillset (MVS) profiles. It also discusses key challenges such as platform usability, time constraints, and the learning curve for new tools like GitHub. The deliverable contributes actionable insights for developing FAIR-by-Design (FbD) learning content and offers recommendations for broader institutional adoption.

Zenodo (CERN European Organization for Nuclear Research)
University of Copenhagen (DK), Centre National de la Recherche Scientifique (FR), Tampere University (FI), Copenhagen Business School (DK), Royal Danish Library (DK), Délégation Paris 6 (FR), CSC - IT Center for Science (Finland) (FI), University of Ss. Cyril and Methodius in Trnava (SK), Eindhoven University of Technology (NL), Aalborg University (DK), Université de Lorraine (FR), Delft University of Technology (NL), KU Leuven (BE)
Openalex Percentile: Top 39%
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.

D4.2: Learning paths for data professionals · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS