Research Data Management Within the EU Data Policy Framework

Abstract The rapid digitalization has significantly influenced EU research policy, particularly in open science and research data management. While free access to research data is integral to open science, the broader concept of research data management extends beyond mere accessibility. The EU has introduced various regulations to address the evolving challenges of digital technologies, balancing innovation with fundamental legal principles such as privacy and intellectual property protection. Although no single legal framework is dedicated to research data, multiple EU policies directly impact its management. The Open Data Directive emphasizes the reuse of publicly funded research data, promoting open access while safeguarding intellectual property and privacy rights. The Data Governance Act complements this by creating a framework for reusing protected public sector data, balancing openness with the need to protect commercial, intellectual, and personal data. The Data Act primarily focuses on private sector data and facilitates data sharing across businesses and sectors, particularly in the domain of the Internet of Things, while promoting interoperability and fair contractual terms. Despite these robust EU-level frameworks, Lithuania’s national policies lag behind, particularly in addressing the growing needs of artificial intelligence innovation.

Authors

Institutions

Publication Details

Journal
Baltic Journal of Law & Politics
Published
2024-12-01
DOI
https://doi.org/10.2478/bjlp-2024-00020
Citations
1
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.78
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research Data Management Within the EU Data Policy Framework

Saulė Milčiuvienė, Darius Amilevičius, Gailius Raškinis
1 citations
Baltic Journal of Law & Politics
Research Data Management Practices
0.78
article

Research Data Management Within the EU Data Policy Framework

Saulė Milčiuvienė, Darius Amilevičius, Gailius Raškinis
article en
1 citations

Abstract

Abstract The rapid digitalization has significantly influenced EU research policy, particularly in open science and research data management. While free access to research data is integral to open science, the broader concept of research data management extends beyond mere accessibility. The EU has introduced various regulations to address the evolving challenges of digital technologies, balancing innovation with fundamental legal principles such as privacy and intellectual property protection. Although no single legal framework is dedicated to research data, multiple EU policies directly impact its management. The Open Data Directive emphasizes the reuse of publicly funded research data, promoting open access while safeguarding intellectual property and privacy rights. The Data Governance Act complements this by creating a framework for reusing protected public sector data, balancing openness with the need to protect commercial, intellectual, and personal data. The Data Act primarily focuses on private sector data and facilitates data sharing across businesses and sectors, particularly in the domain of the Internet of Things, while promoting interoperability and fair contractual terms. Despite these robust EU-level frameworks, Lithuania’s national policies lag behind, particularly in addressing the growing needs of artificial intelligence innovation.

Baltic Journal of Law & PoliticsVol. 17(2)
Vytautas Magnus University (LT)
Openalex Percentile: Top 17%
Research Data Management Practices
0.78
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.