Long Term Interoperability of Distributed Research Data Infrastructures





FAIR, FAIR Digital Object, Service Architecture, Standardization


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.


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How to Cite

Politze, M., Shakeel, Y., Hunke, S., Ost, P., Aversa, R., Heinrichs, B., & Lang, I. (2023). Long Term Interoperability of Distributed Research Data Infrastructures. Proceedings of the Conference on Research Data Infrastructure , 1. https://doi.org/10.52825/cordi.v1i.348
Received 2023-04-25
Accepted 2023-06-29
Published 2023-09-07

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