Long Term Interoperability of Distributed Research Data Infrastructures
Proceedings of the Conference on Research Data Infrastructure, vol. 1
Abstract
Research institutions have established a variety of research data infrastructures that orient towards discipline or methodology specific needs of their respective research community. Technically, these infrastructures ultimately are based on “off-the-shelf” hardware and software building blocks – both commercial and open-source. While such “enterprise ready” infrastructures can scale well, they apt to data silos and typically do not adhere to scientific standards like the FAIR (Findability, Accessibility, Interoperability, Reusability) principles out of the box. Using common architecture concepts such as the FAIR Digital Object (FAIR DO) allows interconnection of these silos by adding a long term interoperability layer on top of the existing infrastructure components. The presented approach provides a practical solution for interconnecting distributed research data infrastructures to national (like NFDI) and international (like EOSC and Gaia-X) infrastructures and preventing the creation of data silos. By allowing existing data infrastructures to make data FAIR, we enable researchers to access and reuse data from different domains, facilitating cross-disciplinary research and advancing new methods for scientific discoveries.
Authors 7
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Marius Politze Aachen
Affiliation as printed
RWTH Aachen University
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Karlsruhe Institute of Technology
Affiliation as printed
Karlsruhe Institute of Technology
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Siream Hunke Aachen
Affiliation as printed
RWTH Aachen University
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Karlsruhe Institute of Technology
Affiliation as printed
Karlsruhe Institute of Technology
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Karlsruhe Institute of Technology
Affiliation as printed
Karlsruhe Institute of Technology
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Benedikt Heinrichs Aachen
Affiliation as printed
RWTH Aachen University
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Ilona Lang Aachen
Affiliation as printed
RWTH Aachen University
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