Open science and FAIR data in an institutional context
Channel: Daniel Mietchen
Date: 2021-05-01

Abstract
The research ecosystem is continuously evolving, and some of the prominent trends in recent years included the broader adoption of the principles of open science and FAIR data. In short, open science emphasizes reproducibility and collaboration, while the FAIR Principles (where FAIR stands for resources being Findable, Accessible, Interoperable and Reusable) enable both humans and automated actors to be active participants in the research process. This presentation is intended to stimulate discussion about how a broader adoption of open and FAIR principles in an institutional context could be approached, with examples chosen for being relevant to the Fraunhofer Institute of Biomedical Engineering.


About
This presentation was given at the Fraunhofer Institute for Biomedical Engineering (IBMT) on 30 April 2021. The audience was encouraged to pose questions and comments immediately rather than at the end, which led to a lively discussion throughout the talk, to the extent that some of the slides - or even things they simply alluded to - were discussed in a quite detailed manner, while other slides were essentially skipped. In contrast, the etherpad provided as a backchannel ended up not being used at all.

The slides used for the presentation were prepared on Google docs and then downloaded from there in PDF, ODP and PPTX formats. They and a version of the video recording (in MOV format) of a separate run of the presentation are available from Zenodo via http://doi.org/10.5281/zenodo.4720432 .