El-Sayed Seliem, Kickbusch Ilona, Prainsack Barbara
Department of Political Science, University of Vienna, Vienna, Austria.
Global Health Centre, Institut de Hautes Etudes Internationales et du Developpement, Geneva, Switzerland.
Glob Public Health. 2025 Dec;20(1):2450403. doi: 10.1080/17441692.2025.2450403. Epub 2025 Jan 10.
Most data governance frameworks are designed to protect the individuals from whom data originates. However, the impacts of digital practices extend to a broader population and are embedded in significant power asymmetries within and across nations. Further, inequities in digital societies impact everyone, not just those directly involved. Addressing these challenges requires an approach which moves beyond individual data control and is grounded in the values of equity and a just contribution of benefits and risks from data use. Solidarity-based data governance (in short: data solidarity), suggests prioritising data uses over data type and proposes that data uses that generate public value should be actively facilitated, those that generate significant risks and harms should be prohibited or strictly regulated, and those that generate private benefits with little or no public value should be 'taxed' so that profits generated by corporate data users are reinvested in the public domain. In the context of global health data governance, the public value generated by data use is crucial. This contribution clarifies the meaning, importance, and potential of public value within data solidarity and outlines methods for its operationalisation through the PLUTO tool, specifically designed to assess the public value of data uses.
大多数数据治理框架旨在保护数据来源的个人。然而,数字实践的影响扩展到更广泛的人群,并根植于国家内部和国家之间显著的权力不对称之中。此外,数字社会中的不平等影响到每个人,而不仅仅是那些直接相关的人。应对这些挑战需要一种超越个人数据控制的方法,并以公平价值观以及数据使用中利益和风险的公正分配为基础。基于团结的数据治理(简而言之:数据团结)建议优先考虑数据用途而非数据类型,并提议应积极推动产生公共价值的数据用途,禁止或严格监管产生重大风险和危害的数据用途,对产生很少或没有公共价值的私人利益的数据用途进行“征税”,以便企业数据用户产生的利润能够重新投资于公共领域。在全球卫生数据治理的背景下,数据使用产生的公共价值至关重要。本文阐述了数据团结中公共价值的含义、重要性和潜力,并概述了通过专门设计用于评估数据用途公共价值的PLUTO工具将其付诸实施的方法。