Assessing Open Science Policy Landscapes in the EU: A Socio-Epistemological Evaluation

This presentation delivers a critical policy assessment of national Open Science (OS) strategies and policies across selected EU Member States, examining their alignment with, and divergence from, supranational frameworks, particularly EOSC and broader EU digital agendas. Drawing on socio-epistemological theory and a critical analysis of policy and infrastructural dependencies within the EU, it explores how national approaches negotiate the balance between epistemic autonomy, institutional capacity, and compliance with common standards.The assessment applies an evaluation framework, encompassing: the existence of national OS instruments (strategy, action plan, monitoring), thematic coverage (open access, open data, education, etc.), stakeholder engagement, legal enforceability, implementation mechanisms, degree of EOSC/EU alignment, incorporation of research assessment reform, evidence-informed policy development, and reliance on national strategic frameworks and development priorities. Countries are evaluated qualitatively, based on policy documents and data sourced from the EOSC Observatory and official national portals. The assessment framework also considers the SMART criteria.Croatia is presented as an in-depth case study of a still-emerging policy ecosystem. The analysis includes the 2023 Draft National OS Plan. Complementing this, the presentation introduces original survey results on OS awareness and perceptions among Croatian researchers and students covering all major OS components conducted throughout 2024 and 2025 with the aim of producing a white paper to inform future policymaking.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-20
DOI
https://doi.org/10.5281/zenodo.17663041
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

Assessing Open Science Policy Landscapes in the EU: A Socio-Epistemological Evaluation

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

Assessing Open Science Policy Landscapes in the EU: A Socio-Epistemological Evaluation

article en

Abstract

This presentation delivers a critical policy assessment of national Open Science (OS) strategies and policies across selected EU Member States, examining their alignment with, and divergence from, supranational frameworks, particularly EOSC and broader EU digital agendas. Drawing on socio-epistemological theory and a critical analysis of policy and infrastructural dependencies within the EU, it explores how national approaches negotiate the balance between epistemic autonomy, institutional capacity, and compliance with common standards.The assessment applies an evaluation framework, encompassing: the existence of national OS instruments (strategy, action plan, monitoring), thematic coverage (open access, open data, education, etc.), stakeholder engagement, legal enforceability, implementation mechanisms, degree of EOSC/EU alignment, incorporation of research assessment reform, evidence-informed policy development, and reliance on national strategic frameworks and development priorities. Countries are evaluated qualitatively, based on policy documents and data sourced from the EOSC Observatory and official national portals. The assessment framework also considers the SMART criteria.Croatia is presented as an in-depth case study of a still-emerging policy ecosystem. The analysis includes the 2023 Draft National OS Plan. Complementing this, the presentation introduces original survey results on OS awareness and perceptions among Croatian researchers and students covering all major OS components conducted throughout 2024 and 2025 with the aim of producing a white paper to inform future policymaking.

Zenodo (CERN European Organization for Nuclear Research)
Ruđer Bošković Institute (HR)
Partnerships for the goals
Openalex Percentile: Top 30%
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.