Insights

According to Ronald Cornet from Amsterdam UMC, patients or their family should be able to easily give consent to share their data via one platform. As part of our ‘Data sharing in practice’ series, we spoke with Ronald about data sharing challenges.
The mission of our participant IKNL, an independent knowledge institute for oncological and palliative care, is to reduce the impact of cancer. To achieve this, it collects data and makes it available for research and statistics.
One of the key aspects of the success, adoption and scaling of data spaces is the direct involvement of end-users and data space service providers (SPs). We conducted market research to gain insight into positioning and offerings of service providers and their stance towards and response to EU regulations.
Legal experts from Pels Rijcken’s Innovation, Privacy & Technology (IP&T) team, together with technical experts from Linksight and TNO, explore the legal aspects (in relation to the technical aspects) of deploying Multi-Party Computation in the public domain.
Our participants Knights Analytics and Roseman Labs tested the performance of their Entity Resolution technology combined with Multi-Party-Computation to improve financial crime detection by enabling banks to generate combined views on transaction patterns and the entities involved.
This report covers the potential of Multi-Party Computation to improve the monitoring processes of regional care in the Netherlands.
We take the initiative to update the European data spaces overview and developments on a yearly basis. Our aim is to understand what the main initiatives are, what the decision making entities are and what mechanisms are in place to influence the decision making.
The NL AI Coalition presents two reference guides which contain a practical explanation for parties and organisations to get started with the development of data spaces for AI applications.
Both employers and employees benefit from realising more efficient processes for onboarding and professional verification. However, relevant career data is stored at different sources. To unlock this data, an open career data ecosystem is a solution.
The Centre of Excellence for Data Sharing and Cloud (CoE-DSC) was officially launched today. The CoE-DSC builds upon the efforts and results of the  Data Sharing Coalition, the Data Sharing working group of the Dutch AI Coalition (NL AIC) and the Gaia-X Hub the Netherlands.
Gaia-X hub The Netherlands, TNO, BIT, Intermax, Info Support, SURF and AMS-IX will jointly build a national Gaia-X test environment. Cloud service providers can use this to investigate how to comply with the European cloud standards, specifications and rules of Gaia-X.
In our recurring blog section ‘Q&A with’, you learn more about our participants, their thoughts, vision and ideas about data sharing. Edwin Kooistra, Co-founder, Chief Strategy and Marketing Officer at BlueGen.ai, shares his thoughts.
In our recurring blog section ‘Q&A with’, you learn more about our participants, their thoughts, vision and ideas about data sharing. Michiel de van der Schueren, Managing Director at Weolcan, shares his thoughts.
In our recurring blog section ‘Q&A with’, you learn more about our participants, their thoughts, vision and ideas about data sharing. Daniel Kapitan, fellow at Eindhoven AI Systems Institute (EAISI), shares his thoughts.
In our recurring blog section ‘use case insights’, you learn more about a data sharing use case. Paul Fockens from our participant Sustainable Rescue Foundation, provides insights into a use case about combatting human trafficking.