Journal Article: “Research Data Governance. The Need for a System of Cross-Organisational Responsibility for the Researcher’s Data Domain”
The article linked below was recently published by Data Science Journal.
Title
Author
Carolin Odebrecht
Humboldt-Universität zu Berlin
Source
Data Science Journal
Vol. 24 (2025)
DOI: 10.5334/dsj-2025-012
Abstract
The integration of research data management into academic workflows presents significant challenges for researchers, resulting in fragmented responsibility and accountability. This essay delves into the complexities surrounding the research data life cycle, revealing gaps in the existing governance systems. Researchers often encounter obstacles such as missing ethical approvals, inadequate data hosting solutions, and inconsistent data transfer regulations, all of which hinder their progress. These issues stem from a disconnection between the institutional governance structures and the practical needs of individual researchers. Current data policies in academic institutions place an overwhelming responsibility on researchers to manage the entire data life cycle, while leaving support frameworks ambiguous. This lack of coordinated responsibility structures hinders effective data management and governance. To address these challenges, the article proposes the development of a research-centric data governance system. This system aims to bridge the gap between institutional policies and discipline-specific requirements. By implementing a research data governance system, researchers can gain control over data ownership and align it with their research objectives.
Direct to Full Text Article
Filed under: Data Files, Management and Leadership, News
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.


The integration of research data management into academic workflows presents significant challenges for researchers, resulting in fragmented responsibility and accountability. This essay delves into the complexities surrounding the research data life cycle, revealing gaps in the existing governance systems. Researchers often encounter obstacles such as missing ethical approvals, inadequate data hosting solutions, and inconsistent data transfer regulations, all of which hinder their progress. These issues stem from a disconnection between the institutional governance structures and the practical needs of individual researchers. Current data policies in academic institutions place an overwhelming responsibility on researchers to manage the entire data life cycle, while leaving support frameworks ambiguous. This lack of coordinated responsibility structures hinders effective data management and governance. To address these challenges, the article proposes the development of a research-centric data governance system. This system aims to bridge the gap between institutional policies and discipline-specific requirements. By implementing a research data governance system, researchers can gain control over data ownership and align it with their research objectives.