Impact expected


#1 Substantial improvement of technologies for data access to better protect consumer and personal data

Usage of SODA’s MPC-based system implies that the data processor doesn’t actually need direct access to consumer and personal data anymore, while providing the same outcome as without our technology. In fact, the data processor learns nothing about the input data. Thus this data is also automatically better protected.


#2 Substantial improvement of MPC-based technologies for data processing and analysis to better protect consumer and personal data

MPC-based technologies for data processing and analysis to better protect consumer and

personal data. With SODA, direct access by the data processor is not necessary, which increases willingness of data owners to provide indirect access to their data. This allows data processors to use more and/or better data-sets for processing and analysis, and allows compositions of data-sets that were previously impossible.


#3 Respect security in line with existing and future EU rules on the protection of personal data.

Legal analysis, as performed in WP3 and by our anticipated collaboration with the ICT-18 CSA, will ensure full compliance of our technology with existing EU rules and will anticipate upon future directions. This will pave the way towards full implementation of our technology in the area of Big Data analytics.


#4 Improved confidence and satisfaction of data subjects by the end of 2020.

We focus on explaining our techniques to relevant stakeholders. We perform a user study to ensure that this indeed leads to better understanding by data subjects and increased confidence in giving consent. Furthermore the user studies may expose potential issues with respect to user confidence and these will be addressed during the project. The WP4 hacking challenge is primarily intended for security evaluation, but the fact that it is organized will increase the confidence of data subjects in using the SODA system.


#5 Substantial improvements towards creating a secure environment for data access, process and analysis, demonstrated in the use situations that arise in the data experimentation/integration projects (ICT-14b)

The SODA project will demonstrate its technology on use situations in the medical research domain. In addition the interaction with ICT-14b on a selected relevant, privacy-based use case and the resulting demonstrator will show wide applicability of our technology, while complying with EU privacy regulations.

Impact of SODA on big Data analytics

Area identified Contribution by the project
Data analytics in medical research Provide a privacy-preserving alternative to the current practice of distributed medical research with its associated risk and contractual difficulties
Medical Big Data analytics Allow new applications of Big Data in health care, for cost savings and internet-connected healthcare devices
Big Data analytics Allow new applications of Big Data in other sectors such as the financial sector as demonstrated in collaboration with the ICT-14b data experimentation incubators

Impact on society

Area identified Contribution by the project
Distributed medical research Improve patient privacy compared to state-of-the-art solutions; make it easier for medical researchers to perform distributed medical research
Medical cost savings Enable the use of Big Data for costs savings in medical care
Privacy in Big Data analytics Demonstrate feasibility of Big Data analytics and make it easier to develop privacy-friendly Big Data applications