Managing public sector data: National challenges in the context of European Union’s new data governance models

Author:

Buttow Clarissa Valli,Weerts Sophie

Abstract

In its regulatory enterprise to improve the conditions of data sharing and reuse, the European Union has enacted new legislation: the Data Governance Act (DGA). The DGA envisages new forms of sharing public sector data (PSD). Based on a legal analysis of the DGA and an in-depth study of data governance literature, this paper highlights what is at stake in the new regulatory framework and argues that more than the mere openness of more PSD will be necessary to ensure that the European Union policy goals are achieved, especially those concerning enhancing innovation for the common good. From this perspective, the paper argues that the public data trust model of data governance and the Responsible Research and Innovation approach offer two powerful tools for public sector data governance. In this context, this paper contributes to the debate about new data governance models and discusses tools and frameworks enabling the use of data for the common good. It also provides insights to public administration practitioners aiming to implement a framework for increased and sustainable PSD sharing.

Publisher

IOS Press

Subject

Public Administration,Sociology and Political Science,Communication,Information Systems

Reference58 articles.

1. Data governance: Aconceptual framework, structured review, and research agenda.;Abraham;International Journal of Information Management,2019

2. The strategic importance of information policy for thecontemporary neoliberal state: The case of Open Government Data in theUnited Kingdom.;Bates;Government Information Quarterly,2014

3. Beaulieu, A., & Leonelli, S. (2022). Data and Society: A Critical Introduction. Los Angeles, CA: SAGE PublicationsSage CA.

4. The rise of GovTech: Trojan horse or blessing indisguise? A research agenda.;Bharosa;Government Information Quarterly,2022

5. The problem ofinnovation in technoscientific capitalism: data rentiership and the policyimplications of turning personal digital data into a private asset.;Birch;Policy Studies,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3