Read the TRUSTS-chapter “๐˜—๐˜ณ๐˜ช๐˜ท๐˜ข๐˜ค๐˜บ-๐˜—๐˜ณ๐˜ฆ๐˜ด๐˜ฆ๐˜ณ๐˜ท๐˜ช๐˜ฏ๐˜จ ๐˜›๐˜ฆ๐˜ค๐˜ฉ๐˜ฏ๐˜ช๐˜ฒ๐˜ถ๐˜ฆ๐˜ด ๐˜ง๐˜ฐ๐˜ณ ๐˜›๐˜ณ๐˜ถ๐˜ด๐˜ต๐˜ธ๐˜ฐ๐˜ณ๐˜ต๐˜ฉ๐˜บ ๐˜‹๐˜ข๐˜ต๐˜ข ๐˜š๐˜ฉ๐˜ข๐˜ณ๐˜ช๐˜ฏ๐˜จ: ๐˜–๐˜ฑ๐˜ฑ๐˜ฐ๐˜ณ๐˜ต๐˜ถ๐˜ฏ๐˜ช๐˜ต๐˜ช๐˜ฆ๐˜ด ๐˜ข๐˜ฏ๐˜ฅ ๐˜Š๐˜ฉ๐˜ข๐˜ญ๐˜ญ๐˜ฆ๐˜ฏ๐˜จ๐˜ฆ๐˜ด ๐˜ง๐˜ฐ๐˜ณ ๐˜๐˜ถ๐˜ต๐˜ถ๐˜ณ๐˜ฆ ๐˜™๐˜ฆ๐˜ด๐˜ฆ๐˜ข๐˜ณ๐˜ค๐˜ฉ” in the newly published open access book on Dataspaces Design, Deployments and Future Directions.

This book

  • Educates data space designers to understand what is required to create a successful data space
  • Explores the cutting-edge theory, technologies, methodologies, and best practices for data spaces
  • Captures lessons and experiences in creating data spaces based on real-world projects in various industry sectors

One of the foundations of data sharing in the European Union (EU) is trust, especially in view of the advancing digitalization and recent developments with respect to European Data Spaces. In this chapter, we argue that privacypreserving techniques, such as multi-party computation and fully homomorphic encryption, can play a positive role in enhancing trust in data sharing transactions. We therefore focus on an interdisciplinary perspective on how privacy-preserving techniques can facilitate trustworthy data sharing. We start with introducing the legal landscape of data sharing in the EU. Then, we discuss the different functions of third-party intermediaries, namely, data marketplaces. Before giving a legal perspective on privacy-preserving techniques for enhancing trust in data sharing, we briefly touch upon the Data Governance Act (DGA) proposal with relation to trust and its intersection with the General Data Protection Regulation (GDPR). We continue with an overview on the technical aspects of privacy-preserving methods in the later part, where we focus on methods based on cryptography (such as homomorphic encryption, multi-party computation, private set intersection) and link them to smart contracts. We discuss the main principles behind these methods and highlight the open challenges with respect to privacy, performance bottlenecks, and a more widespread application of privacy-preserving analytics. Finally, we suggest directions for future research by highlighting that the mutual understanding of legal frameworks and technical capabilities will form an essential building block of sustainable and secure data sharing in the future.

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