Combine data spaces and Privacy Enhancing Technologies for larger and secure shared data analysis

How to get insights from data shared between organisations while also safeguarding sensitive data? Both data spaces and Privacy Enhancing Technologies (PETs) can do this. But despite this similarity, the development of data spaces and PETs is driven by two different communities with different approaches. Real progress can be made if we combine both methods. This combination enables us to get insights from larger numbers of (privacy sensitive) data and still meet the required privacy protection.

Conclusions in whitepaper confirmed by Spanish AEPD

Freek Bomhof and Harrie Bastiaansen (and others), both consultants at TNO and affiliated with the CoE-DSC, recently published a whitepaper on this subject; ‘Leveraging the benefits of combining data spaces and privacy enhancing technologies’. Their conclusions about the advantages of combining data spaces and PETs are now being confirmed by the Spanish privacy Authority (AEPD) and The European Union Agency for Cybersecurity (ENISA). In their report about the workshop ‘DATA SPACES IN EU’ : Synergies between data protection and data spaces, EU challenges and experiences of Spain”, they stated that including GDPR principles in the design of data spaces is a clear requirement to reach the data sovereignty goals of data spaces.

Scalable data sharing

In their whitepaper Harrie Bastiaansen and Freek Bomhof clarified that both data spaces and PETs emerged in response to the need to share data between organisations in a trusted way. PETs are used to get the outcome of a data analysis without having to view the data itself. So the data used for the analysis isn’t traceable to an individual. This is very relevant but not scalable, since a consultant always has to set up a new tailormade combination of PETs for each new analysis in order to perform it. Another scalability challenge arises when you want to combine PETs of different vendors. To do this, some form of standardisation between organisations is needed. Applying PETs within data spaces can help, because involved parties have to adhere to agreements and standards that are already used in a data space. Read the interview with Harrie and Freek to learn more.

Sharing succes cases will help overcome hessitance

In their report, the AEPD defined the term ‘sharing’ as ‘accessing and processing’, which is not the same as personal data transfer and copy. This is an essential observation, which fully resonates in the PET community. Furthermore, the Spanish AEPD emphasised that, to achieve data protection by design and by default in European data spaces, standardisation plays an important role. Technical standards in general foster trust among different actors in data spaces and provide common baseline benchmarks. Creating trust is essential, because the Spanish AEPD sees that organisations are hesitant to share data using PETs or other technologies due to two reasons:
1. A lack of awareness about these solutions
2. A lack of regulatory guidance on the matter

Sharing success cases of data sharing will surely help to overcome this and will result in more trust in new technologies.

Share:

Read more

Data sharing
From fragmentation to scalable value from data

How can we prevent the growing landscape of data spaces and data-sharing initiatives from becoming a source of fragmentation itself? The challenge is not to make everything the same, but to make conscious decisions about what can be reused, where harmonisation is needed, and where there should remain room for domain-specific choices.

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.