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Data solidarity: Operationalising public value through a digital tool.

Seliem El-Sayed1, Ilona Kickbusch2, Barbara Prainsack1

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Summary
This summary is machine-generated.

Data governance needs to move beyond individual control to address societal inequities. Solidarity-based data governance prioritizes public value and equitable risk distribution, using tools like PLUTO for assessment.

Keywords:
Data governanceSDG 10: Reduced inequalitiesSDG 12: Responsible consumption and productionSDG 3: Good health and well-beingSDG 9: Industry, innovation and infrastructuredata solidarityequityfairnesspublic value

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Area of Science:

  • Digital Health
  • Data Governance
  • Public Health Policy

Background:

  • Current data governance frameworks primarily protect data subjects.
  • Digital practices create broader societal impacts and power imbalances.
  • Existing frameworks fail to address widespread inequities in digital societies.

Purpose of the Study:

  • Propose a shift from individual data control to equity-focused data governance.
  • Introduce solidarity-based data governance (data solidarity) as a new framework.
  • Clarify the role and operationalization of public value in data governance.

Main Methods:

  • Conceptual framework development for data solidarity.
  • Prioritization of data uses based on public value, risk, and private benefit.
  • Introduction of the PLUTO tool for assessing public value of data uses.

Main Results:

  • Data solidarity prioritizes data uses, facilitating public value generation.
  • High-risk data uses are subject to prohibition or strict regulation.
  • Profits from data uses with private benefits and low public value are taxed for reinvestment.

Conclusions:

  • Solidarity-based data governance offers a more equitable approach to data management.
  • Operationalizing public value through tools like PLUTO is essential for global health data governance.
  • This framework promotes just contribution of benefits and risks from data use.