Data spaces are decentralized infrastructures that enable data transactions between different ecosystem parties. They have the potential to become a cornerstone of digital economies by unlocking data for research, innovation, public services, and economic growth. Their ability to serve these goals, however, will depend on more than technical interoperability, legal compliance, and secure infrastructure. 

Because data within data spaces may be reused across organizations and for purposes that differ from those for which it was originally collected, effective data spaces also require an ongoing social license. Individuals, communities, and participating organizations need confidence that data is being reused in ways that reflect societal expectations and preferences

Digital Self-Determination (DSD) provides a governance foundation for earning and maintaining that social license. In practice, this means enabling affected individuals and communities to express their expectations and preferences and to influence the conditions under which data is governed and reused. DSD can therefore help data spaces develop beyond trusted technical infrastructures into trusted social institutions.

While DSD has gained traction as a guiding principle, practical approaches for embedding it into the governance of digital systems and institutions remain limited. 

The Roadmap for Digital Self-Determination in Data Spaces, developed with the support of the Swiss Federal Administration, addresses this broader implementation gap through the specific context of data spaces.

The roadmap is available HERE.

Four Phases and Six Tools

The roadmap operationalizes Digital Self-Determination through four phases and six tools.

1. Establish governance foundations that embed agency 

1. The Assessment for Data Space Governance helps operators evaluate data governance readiness and identify strengths, gaps, and priorities.

2. The Guidance on Costs for DSD Implementation in a Data Space helps identify the organizational, legal, technical, and financial resources needed to sustain participation, enforcement, transparency, redress, and review.

2. Enable communities to express expectations, interests, and preferences

1. The Guidance on Public Engagement Mechanism Selection helps practitioners choose among informational, consultative, deliberative, and collaborative approaches suited to different contexts.

3. Translate expectations and preferences into operational arrangements

1. The List of Governance Instruments in Data Spaces maps the legal, organizational, technical, and procedural mechanisms available for this work. 

2. The Model Swiss Data Sharing Agreement with DSD Clauses shows how DSD commitments can be incorporated into binding provisions concerning purpose, use, transparency, accountability, safeguards, and adaptation .

4. Assess whether DSD arrangements continue to work over time

1. The Options for Stress Testing Digital Self-Determination provides methods for assessing whether data space governance remains effective, fair, transparent, and supportive of meaningful control as conditions change, including expanded data reuse, security incidents, coordination failures, and disputes over authorization or withdrawal.

Applying the Roadmap

The Roadmap is designed to support implementation within the Swiss data ecosystem. At the same time, its frameworks and tools also address challenges faced by data spaces in other jurisdictions and can be adapted to different legal frameworks, institutional arrangements, levels of maturity, and forms of data reuse.

The Roadmap for Digital Self-Determination in Data Spaces is now available here. We invite practitioners, policymakers, researchers, and communities to explore the report, test its tools, and share what they learn. Organizations interested in adapting or implementing the roadmap can contact us to discuss next steps and potential collaboration by emailing us at [email protected]. 

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