FAIR Research Data Management


Funding agencies, journals, and academic institutions frequently require research data to be published according to the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. To achieve this, every step of the research process needs to be accurately documented, and data needs to be securely stored, backed up, and annotated with sufficient metadata to make it re-usable and re-producible.

Sounds complicated?

The service provides researchers with a turn-key research data management solution to achieve this goal!




What we offer offers research data management as a service to the scientific community, based on the powerful openBIS platform.


  1. The service is offered as a preview openBIS server on cloud infrastructure: preview is intended for end-users to learn service & eventually plan on-premise and/or, own cloud based deployment. Alternatively, self-hosting using local IT infrastructure at the respective institution can also be agreed.
  2. Consulting & support for on-premise and/or own cloud based deployment of openBIS is also offered along with user support including data model generation, to be able to import data into openBIS & training for the use of openBIS as a data management platform.


In both cases, the system can be pre-customized for life science applications, supporting common data types like genomics, proteomics, imaging, or can be fully customized by the users. Finally, also offers full integration with the popular Jupyter notebook server for data analytics in several popular programming languages like Python or R.




Learn more & order


The service is aimed at experimental and/or computational research groups in research institutes & universities. Interested researchers are encouraged to contact us directly for an initial consultation (e-mail to We will usually be able to get back to you within a few workings days. You can also order the service directly via the new Service Order Form.


For regular information about scheduled trainings and courses, please subscribe to our mailing list.




Who we are


The service is operated and maintained by an experienced team of system administrators and data management experts at Scientific IT Services of ETH Zurich. We have more than 10 years of experience in developing data management solutions for research groups at ETH Zurich and beyond, and provide the ETH Research Data Hub, as well as other RDM services at ETH Zurich. acknowledges financial support from the EGI-ACE project, which receives funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017567 for setting up a service similar to ETH’s internal RDM service for the larger European research community.





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