Workshop on FAIR Metrics in Engineering Sciences: Presentation
Creators: name: Moser, Mario
name: Hamann, Tobias
name: Abdelrazeq, Anas
name: Schmitt, Robert H.
Publisher: name: Zenodo
Year: 2023
Subjects: FAIR
FAIR Metrics
FAIR Data Management
Engineering Sciences
RDM
Research Data Management
FDM
Forschungsdatenmanagement

description: Presentation for a Workshop at the NFDI4Ing Conference 2023 Workshop on how a FAIR Metric (or: FAIR implementation) for the Engineering Sciences might be designed. The workshop outcome is published at 10.5281/zenodo.8382742. Extended Abstract: Making digital objects FAIR (findable, accessible, interoperable, reusable) is one of the cornerstones for transparency of research data and supporting their reusability. The FAIR principles are designed as high-level guidance, which needs to be interpreted and implemented in concrete FAIR metrics, e. g. domain- or object-specific. While several metrics have already been developed – including general ones or ones for software –, none of them are currently specifically for the engineering sciences. This workshop aims at considering FAIR principles from the engineering science domain point of view. The workshop will start with a general introduction and explanation of the fifteen FAIR guiding principles. Based on that, workshop participants will be invited to share what FAIR means to them in their research activities and how they implement it. General and engineering-specific elements of FAIR will be distinguished during this part. In addition, participants will be asked to categorize the importance of each principle for them. This part of the session will be conducted on an interactive whiteboard so that everyone can actively participate. It primarily addresses researchers in the engineering sciences and data stewards working together with engineers, while librarians and IT staff is highly welcome as well to share their perspective. The workshop will end with the question whether an engineering-specific FAIR metric is required and how it could be bounded. The participants will be asked to give their opinion on that based on the FAIR elements identified before, even when a structured comparison to existing FAIR metrics is not part of this workshop. The workshop outcome will be used to figure out whether engineering sciences need a FAIR metrics on their own and – if yes – how this could be designed. An individual metric might provide the benefit to be better applicable compared to a general one but might include the risk of loosing comparability to existing metrics. After the workshop, the results will be evaluated and documented in a publication. Depending on the workshop outcome, a potential FAIR metric for the engineering sciences would be developed in the NFDI4Ing work package S-1-4 and made publicly available. Overall, this workshop supports NFDI4Ing’s goal to “develop, disseminate, standardise and provide methods and services to make engineering research data FAIR” [https://nfdi4ing.de/about-us/].
description: The authors would like to thank the Federal Government and the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the framework of the NFDI4Ing consortium. Funded by the German Research Foundation (DFG) - project number 442146713