From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| author | Glombiewski, Nikolaus Boukhers, Zeyd Beilschmidt, Christian Drönner, Johannes Mattig, Michael Piet, Artur Pietrzynski, Robert Jaberansary, Mehrshad Maia, Macedo Beyvers, Sebastian Yediel, Yeliz Üçer Akhtar, Muhammad Hamza Oberkampf, Heiner Hartman, Jonathan Seeger, Bernhard Lange, Christoph |
| author_facet | Glombiewski, Nikolaus Boukhers, Zeyd Beilschmidt, Christian Drönner, Johannes Mattig, Michael Piet, Artur Pietrzynski, Robert Jaberansary, Mehrshad Maia, Macedo Beyvers, Sebastian Yediel, Yeliz Üçer Akhtar, Muhammad Hamza Oberkampf, Heiner Hartman, Jonathan Seeger, Bernhard Lange, Christoph |
| contents | The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have established distributed research data infrastructures, respecting the principle that data must be FAIR, i.e., findable, accessible, interoperable and reusable. For mutual benefit of these two communities, the FAIR Data Spaces project aims to connect them towards the vision of a common, cloud-based data space for industry and research. Thus, the project establishes a common legal and ethical framework, common technical building blocks, and it demonstrates the orchestration of multiple building blocks in self-contained settings addressing a diverse range of use cases in domains including health, biodiversity, and engineering. This paper gives a summary of all demonstrators, ranging from research data infrastructures scaled to industry-ready cloud environments to work in progress on building bridges between operational business-to-business data spaces and research data infrastructures. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_04969 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors Glombiewski, Nikolaus Boukhers, Zeyd Beilschmidt, Christian Drönner, Johannes Mattig, Michael Piet, Artur Pietrzynski, Robert Jaberansary, Mehrshad Maia, Macedo Beyvers, Sebastian Yediel, Yeliz Üçer Akhtar, Muhammad Hamza Oberkampf, Heiner Hartman, Jonathan Seeger, Bernhard Lange, Christoph Distributed, Parallel, and Cluster Computing The principles of data spaces for sovereign data exchange across trusted organizations have so far mainly been adopted in business-to-business settings, and recently scaled to cloud environments. Meanwhile, research organizations have established distributed research data infrastructures, respecting the principle that data must be FAIR, i.e., findable, accessible, interoperable and reusable. For mutual benefit of these two communities, the FAIR Data Spaces project aims to connect them towards the vision of a common, cloud-based data space for industry and research. Thus, the project establishes a common legal and ethical framework, common technical building blocks, and it demonstrates the orchestration of multiple building blocks in self-contained settings addressing a diverse range of use cases in domains including health, biodiversity, and engineering. This paper gives a summary of all demonstrators, ranging from research data infrastructures scaled to industry-ready cloud environments to work in progress on building bridges between operational business-to-business data spaces and research data infrastructures. |
| title | From Theory to Practice: Demonstrators of FAIR Data Spaces Across Different Sectors |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2412.04969 |