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Ownership, exclusion and public value in the digital data and information commons
Datos Bibliográficos
| ID | 5260809 |
|---|---|
| Autores | Barbara Prainsack (0000-0002-6335-1532, University of Vienna, autor de correspondencia) |
| Año | 2019 |
| Volumen | 6 |
| Número | 1 |
| Fecha de publicación | 2019-01-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Big Data & Society (JOURNAL) |
| Identificadores de la revista | ISSN: 2053-9517 • E-ISSN: 2053-9517 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2053951719829773 |
| OpenAlex | W2913812060 |
| Idioma | EN |
| Citas recibidas | 64 |
| Referencias citadas | 43 |
In recent years, critical scholarship has drawn attention to increasing power differentials between corporations that use data and people whose data is used. A growing number of scholars see digital data and information commons as a way to counteract this asymmetry. In this paper I raise two concerns with this argument: First, because digital data and information can be in more than one place at once, governance models for physical common-pool resources cannot be easily transposed to digital commons. Second, not all data and information commons are suitable to address power differentials. In order to create digital commons that effectively address power asymmetries we must pay more systematic attention to the issue of exclusion from digital data and information commons. Why and how digital data and information commons exclude, and what the consequences of such exclusion are, decide whether commons can change power asymmetries or whether they are more likely to perpetuate them
Commons · Corporate governance · Economics · Political science · Scholarship · Blockchain Technology Applications and Security · Computer Science · E-Government and Public Services · Law · Privacy, Security, and Data Protection
Dataa näkyvissä
Cosmolocalism Against Platform Capitalism
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Social pathologies of informational privacy
Digital participatory democracy
Artificial Intelligence (AI)
The Lancet and Financial Times Commission on governing health futures 2030
Global digital networks
The Algorithmic Leviathan or the Digital Agora? Mechanisms of Enclosure and Pathways to Rights-Based Governance of Digital Commons
Embedding European values in data governance
Responsible innovation in synthetic biology in response to Covid-19
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Tech Ethics, Organizational Values, and Ethical Work
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Data as asset? The measurement, governance, and valuation of digital personal data by Big Tech
Sensitive data donation in practice
Emergence of Knowledge Commons, Risks, and Relevance for the Human-Rights Framework
Who should lead nuclear fusion research? Cross-national evidence on public–private governance preferences in Europe
Open with care
Surveillance Capitalism in Mental Health
Constructing the data economy
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Big Tech
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Personalized Medicine
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The Tragedy of the Commons
Crowdsourcing cyber security
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| Obras citantes distintas | 64 |
|---|---|
| Citas por año | 10,67 |
| Intervalo de citas | 2020 - 2026 (7) |
| Velocidad de citación | current |
| Altamente citado | No |
| Tipos de cita | Neutras: 59 |