The increasing importance of hydrogen in the clean energy transition highlights the critical need for secure, interoperable, and efficient data management within research environments. Many hydrogen laboratories still rely on fragmented, manual, and non-standardised data exchange practices that hinder interoperability, traceability, and collaboration. This paper presents a tailored framework that integrates key components of Data Space technology, specifically the International Data Spaces Association (IDSA) connector, into hydrogen research workflows. A Minimum Viable Data Space (MVDS) architecture is designed and deployed using a real-world use case from a hydrogen research lab. The approach includes mapping laboratory operations to data space principles, implementing containerised connectors, and validating the setup through an experimental data exchange scenario. The results demonstrate a practical and scalable pathway for modernising laboratory data infrastructure, enhancing collaborative research, and advancing Europe’s digital and sustainable energy goals.

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Towards the Integration of Data Space Technology in Hydrogen Research Workflows

  • Ryan Ford,
  • Rita Beigaitė,
  • Lius Daniel

摘要

The increasing importance of hydrogen in the clean energy transition highlights the critical need for secure, interoperable, and efficient data management within research environments. Many hydrogen laboratories still rely on fragmented, manual, and non-standardised data exchange practices that hinder interoperability, traceability, and collaboration. This paper presents a tailored framework that integrates key components of Data Space technology, specifically the International Data Spaces Association (IDSA) connector, into hydrogen research workflows. A Minimum Viable Data Space (MVDS) architecture is designed and deployed using a real-world use case from a hydrogen research lab. The approach includes mapping laboratory operations to data space principles, implementing containerised connectors, and validating the setup through an experimental data exchange scenario. The results demonstrate a practical and scalable pathway for modernising laboratory data infrastructure, enhancing collaborative research, and advancing Europe’s digital and sustainable energy goals.