Managing public sector data
National challenges in the context of the European Union’s new data governance models
Bibliographic Data
| ID | 12839306 |
|---|---|
| Authors | Clarissa Valli Buttow (0000-0002-7842-6402, Swiss School of Public Health, corresponding author), Sophie Weert (0000-0002-8579-8124, Swiss School of Public Health) |
| Year | 2023 |
| Volume | 29 |
| Issue | 3 |
| Pages | 261-276 |
| Publication date | 2023-11-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Polity (JOURNAL) |
| Journal identifiers | ISSN: 1875-8754 • E-ISSN: 1570-1255 |
| Publisher | IOS Press (PUBLISHER • NL) |
| DOI | 10.3233/ip-230003 |
| OpenAlex | W4389081026 |
| Language | EN |
| Citations received | 1 |
| References cited | 48 |
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
Business · Context (archaeology · Corporate governance · Data governance · Data quality · Data sharing · Economic policy · European union · Knowledge management · Legislation · Openness to experience · Political science · Public sector · Computer Science · E-Government and Public Services · Law · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · Public Administration · Finance · Marketing
Responsible Innovation and Responsible Research and Innovation
Definitions and Conceptual Dimensions of Responsible Research and Innovation
From market fixing to market-creating
Embedding European values in data governance
Open Government Data
Dismantling AI capitalism
Making sense of policy practices
Who’s Driving Innovation
Public Actors Without Public Values
Two tribes or more? The historical emergence of discourse coalitions of responsible research and innovation (rri) and Responsible Research and Innovation (RRI)
Utilization of open government data
The rise of GovTech
The strategic importance of information policy for the contemporary neoliberal state
Managing complexity across multiple dimensions of liquid open data
The politics of scaling
Law in Context’ Revisited
The problem of innovation in technoscientific capitalism
The political economy of digital data
Public sector information in the European Union policy
Evaluating the role of online data availability
Open data licensing
Barriers to innovating with open government data
Driving factors of service innovation using open government data
Whose open data is it anyway? An exploratory study of open government data relevance and implications for democratic inclusion
The effects of open government data on the inclusiveness of governance networks
Design choices
What is responsible and sustainable data science
What is data justice? The case for connecting digital rights and freedoms globally
Emerging models of data governance in the age of datafication
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |