Where secure data collaboration moves from concept to reality

Data has the power to transform healthcare, research, and public services, but sharing sensitive personal data safely has always been a major challenge. Organizations face a false choice: unlock insights and risk privacy, or protect privacy and miss critical opportunities.

Across Sweden, Norway, and Spain, the Data for Care (DFC) platform, in partnership with the Data for Good (DFG) consortium and Partisia, as well as other international entities, is showing a third way. 

As part of the EU Horizon 2020 program, 95 participants are safely sharing health data with doctors, caregivers, and researchers. Using Multi-Party Computation (MPC), all analyses are performed on encrypted data. No organization sees raw personal information, and citizens remain in full control, deciding exactly what can be shared and with whom. This is living proof that privacy-first collaboration is happening today.

The DFC/DFG ecosystem where citizen control meets secure analytics

The DFC platform is the central hub for citizen-controlled data. Organizations join the DFG consortium, log into DFC, and access content management tools, view data points, and save information securely in personal data stores.

DFG acts as an impartial intermediary, connecting service providers and external data sources, including wearables like Fitbit. Service providers integrate with the ecosystem and can send consent requests to citizens through an administrative workflow. Every interaction is consent-driven, transparent, and fully under the citizen’s control.

Partisia’s MPC technology adds the final layer: analysts, hospitals, and researchers can perform secure, multi-source studies without ever accessing raw personal data. This enables population-level insights, cross-hospital analytics, and selective sharing via apps.

All secure and citizen-controlled.

Privacy and collaboration with a real-world proof

Healthcare and public services need data to improve outcomes, track trends, and support research. But collaboration is difficult:
Citizens must trust that their personal data is safe.

• Organizations must comply with strict regulations such as GDPR.
• Traditional sharing often relies on central storage or intermediaries, eroding trust.
• This pilot proves collaboration can coexist with privacy. 

MPC allows insights to be generated across multiple institutions without exposing sensitive data. Citizens retain full control, whether sharing with caregivers, doctors, or researchers.

How the proof-of-concept works

The pilot tested three perspectives: citizen, caregiver, and analyst.

• Citizen perspective: Data is stored in personal data stores. Users can see an overview of consents and approve or deny sharing.
  
  
• Caregiver perspective: Through apps, citizens can grant family members or caregivers selective access to their data. For example, a parent can share health data with a child, fully controlled by the child’s consent.
  
  
• Analyst perspective: Researchers request access to aggregated datasets for study. MPC ensures data remains encrypted during analysis, producing insights without revealing individual-level data.
  
  

This framework is tested with real services such as Enversion, My Health Enabler, and self-monitoring tools. The goal: prove data can flow securely from citizen to professional while remaining fully privacy-compliant.

Proof-of-concept results

The pilot is delivering several critical outcomes:

• Privacy preserved: Citizens’ personal data never leaves their control.
  
  
• Regulatory compliance: GDPR and EU privacy standards are met.
  
  
• Actionable insights: Cross-institutional trends and patterns become visible without compromising trust.
  
  
• No single point of control: DFG ensures neutrality; no party sees all data.
  
  
• Scalable across sectors: While healthcare was the focus, the approach can extend to banking, insurance, and public services.
  
  

Real-world impact

Hospitals can securely share patient outcome analytics. Citizens remain in control, deciding who sees their data and for what purpose. 

Researchers can generate population-level insights without exposing individuals.

This pilot proves that secure, privacy-first collaboration is practical, scalable, and already happening. It’s a working proof-of-concept, showing how data can flow from citizens to caregivers, healthcare providers, and analysts, safely and effectively.

From problem to solution

Organizations no longer have to choose between privacy and insight. The DFC/DFG/Partisia ecosystem enables organizations to:

• Analyze citizen data securely without accessing raw inputs
  
  
• Run multi-source research or healthcare analytics safely
  
  
• Give citizens full control over who accesses their data
  
  
• Build trust through transparent, consent-driven processes
  
  

This is real-world proof that privacy-first collaboration works across countries and healthcare contexts.

Ready to see how privacy-first collaboration can strengthen your business - whether in healthcare, banking, insurance, or public services?

Connect with our team to discover how Partisia’s platform enables you to: