Research Data Management Within the EU Data Policy Framework
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 introduce...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-12-01
|
| Series: | Baltic Journal of Law & Politics |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/bjlp-2024-00020 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832570382647820288 |
|---|---|
| author | Milčiuvienė Saulė Amilevičius Darius Raškinis Gailius |
| author_facet | Milčiuvienė Saulė Amilevičius Darius Raškinis Gailius |
| author_sort | Milčiuvienė Saulė |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-c5b9a99038934cc8940c31b61d136f96 |
| institution | Kabale University |
| issn | 2029-0454 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Baltic Journal of Law & Politics |
| spelling | doaj-art-c5b9a99038934cc8940c31b61d136f962025-02-02T15:47:45ZengSciendoBaltic Journal of Law & Politics2029-04542024-12-0117216818710.2478/bjlp-2024-00020Research Data Management Within the EU Data Policy FrameworkMilčiuvienė Saulė0Amilevičius Darius1Raškinis Gailius21Associate professor Faculty of Law, Vytautas Magnus University, Lithuania2Chief Researcher Institute of Digital Resources and Interdisciplinary Research, Vytautas Magnus University, Lithuania3Professor Faculty of Informatics, Vytautas Magnus University, LithuaniaThe 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.https://doi.org/10.2478/bjlp-2024-00020open scienceresearch data managementeu data policydata fair principles |
| spellingShingle | Milčiuvienė Saulė Amilevičius Darius Raškinis Gailius Research Data Management Within the EU Data Policy Framework Baltic Journal of Law & Politics open science research data management eu data policy data fair principles |
| title | Research Data Management Within the EU Data Policy Framework |
| title_full | Research Data Management Within the EU Data Policy Framework |
| title_fullStr | Research Data Management Within the EU Data Policy Framework |
| title_full_unstemmed | Research Data Management Within the EU Data Policy Framework |
| title_short | Research Data Management Within the EU Data Policy Framework |
| title_sort | research data management within the eu data policy framework |
| topic | open science research data management eu data policy data fair principles |
| url | https://doi.org/10.2478/bjlp-2024-00020 |
| work_keys_str_mv | AT milciuvienesaule researchdatamanagementwithintheeudatapolicyframework AT amileviciusdarius researchdatamanagementwithintheeudatapolicyframework AT raskinisgailius researchdatamanagementwithintheeudatapolicyframework |