TruSDaSh 2025 : Trustworthy Scalable Data Sharing Workshop
Continuous and incessant data production has transformed data ownership into an increasingly important asset for companies. However, the value assigned to data sets is a direct consequence of how the data can be used and shared between data owners and stakeholders. Given the increasing demand for data, this requires sophisticated mechanisms for discovering suitable data sets, as well as for transforming and consuming data in highly distributed architectures.
To that extent, there exists an urging gap for automation frameworks that simplify data exchange between providers and consumers, namely for: (i) publishing data sets, (ii) generation of data usage agreements or contracts between parties, (iii) safe and contractual data exchange, and (iv) monitoring both during the exchange and during the consumer’s use of the data obtained.
The purpose of the workshop is to bring together researchers and practitioners in the field of data architecture and data management with the aim of sharing ideas, perspectives and new solutions for scalable data sharing.
Topics
The list of topics that the workshop will mainly address includes, but is not limited to:
Trustworthy data-sharing methods
Automation of data governance
Machine processable data sharing contracts
Security and privacy mechanisms for secure data sharing
Conceptual models supporting data sharing
Data mesh adoptions in federated settings
Data products architectures for data sharing
AI-assisted methods for data sharing
Energy, sustainability and cost awareness in data sharing
Transformation mechanisms for data sharing
Scalable architectures for data sharing
To that extent, there exists an urging gap for automation frameworks that simplify data exchange between providers and consumers, namely for: (i) publishing data sets, (ii) generation of data usage agreements or contracts between parties, (iii) safe and contractual data exchange, and (iv) monitoring both during the exchange and during the consumer’s use of the data obtained.
The purpose of the workshop is to bring together researchers and practitioners in the field of data architecture and data management with the aim of sharing ideas, perspectives and new solutions for scalable data sharing.
Topics
The list of topics that the workshop will mainly address includes, but is not limited to:
Trustworthy data-sharing methods
Automation of data governance
Machine processable data sharing contracts
Security and privacy mechanisms for secure data sharing
Conceptual models supporting data sharing
Data mesh adoptions in federated settings
Data products architectures for data sharing
AI-assisted methods for data sharing
Energy, sustainability and cost awareness in data sharing
Transformation mechanisms for data sharing
Scalable architectures for data sharing