Whitepaper – Important legal aspects when applying Multi-Party Computation in the public domain

White paper - Important legal aspects when applying Multi-Party Computation in the public domain

Secure Multi-Party Computation (MPC) is a technology that facilitates data analysis applications in a privacy-friendly manner. MPC enables parties to perform calculations with the data of a party, without one party’s data becoming known to the other party. As a result, parties can make their data available for joint analysis without sharing their actual data.

The public domain has expressed a desire to use MPC. However, many public organisations are uncertain about the legal acceptability of using MPC. Among other things, public organisations wonder how the deployment of MPC relates to the requirements of privacy law. In particular, the question often arises to what extent the deployment of MPC can contribute to the lawfulness of using personal data collected for a specific purpose for other purposes (so-called “multiple use”). Both data protection legislation, such as the General Data Protection Regulation (GDPR), and sector-specific laws provide rules on multiple use of data. For example, the General Act on State Taxes (Algemene Wet inzake Rijksbelastingen, AWR) has duty to keep silent and the Participation Act (Participatiewet, Pw) contains a strict purpose limitation.

In the whitepaper below, legal experts from Pels Rijcken’s Innovation, Privacy & Technology (IP&T) team, with support from technical experts from Linksight and TNO, explore the legal aspects (in relation to the technical aspects) of deploying MPC, based on two specific forms of application. In doing so, it also addresses the question whether, and if so, what legal requirements may affect the deployment of MPC. This whitepaper aims to reduce legal uncertainty existing among public organisations and was created on behalf of the Gaia-X hub the Netherlands, now part of the Centre of Excellence for Data Sharing & Cloud.

Download the whitepaper

Share:

Read more

From privacy to trust: what is needed to bring PETs to the next phase

Privacy Enhancing Technologies (PETs) make it possible to extract value from sensitive data without exposing the underlying information, but large-scale adoption remains limited despite successful pilots. According to Sarah van Drumpt (TNO) and Dave Buckley (OpenMined/UN PET Lab), the main challenge is no longer the technology itself, but creating the right conditions around governance, legal certainty and organisational readiness.

Hyperion: building data-driven collaboration for more sustainable aviation

According to Linda Bos, Director of the KLM Engineering & Maintenance Technology Hub, aviation cannot wait for new generations of electric or hydrogen-powered aircraft to become more sustainable. Through the Hyperion project, KLM and its partners are exploring how data sharing and collaboration can contribute to more sustainable and future-proof aircraft maintenance.

Is your business already working with data spaces?

Discover how secure data sharing can unlock new opportunities for organisations in the built environment. This sector-focused event explores the European Data Strategy, the role of data spaces, and practical approaches to trusted data sharing. Gain valuable insights, learn from real-world examples, and connect with experts driving innovation across the Dutch built environment.

Data Sharing Architects Community 2.0

The latest edition of CoE-DSC’s Data Sharing Architects Community brought together professionals from across the public and private sectors to exchange knowledge, share practical experiences and strengthen interoperability. With expert presentations, interactive workshops and valuable networking opportunities, the event highlighted the growing momentum behind collaborative data-sharing initiatives in the Netherlands.