SIG-FAIR-metric - NFDI4ING

Special Interest Group (SIG): FAIR Metric for the Engineering Sciences

The FAIR Principles, i.e. making data Findable, Accessible, Interoperable, and Reusable, is a cornerstone of Research Data Management (RDM). The FAIR Principles (rf. https://doi.org/10.1038/sdata.2016.18) are designed in a generic way that they can be adopted for more specific types of data or disciplines in form of FAIR Metrics.

However, to our best knowledge, currently no FAIR Metrics for the Engineering Sciences have been developed. Leveraging a community-driven approach, a Special Interest Group (SIG) within NFDI4ING will be initialised, that develops FAIR for the need of engineering data. The community-driven approach yields the potential benefit to cover a broader field of disciplines within the engineering sciences than a single team could do, and is expected to increase community acceptance of the results.

QA & metrics

Objectives

The FAIR Principles (https://doi.org/10.1038/sdata.2016.18) are a cornerstone of Research Data Management (RDM). 

However, the FAIR Principles are for any digital scholary object, and by design not for a certain domain or discipline. And they turn 10 years old soon, with various RDM developments in parallel. 

Therefore, we want to adopt the FAIR Principles for the Engineering Sciences disciplines (as covered by NFDI4ING) in form of a FAIR Metric. Goal is to serve as a guideline for researchers conducting RDM in the Engineering Sciences. 

 

To cover all engineering disciplines and latest RDM developments, the FAIR Metric for the Engineering Sciences shall be designed together with the community. For such a community-driven development, NFDI4ING has the format of Special Interest Groups (SIGs).

 

A SIG in NFDI4ING is:

  • open for everyone interest within and beyond NFDI4ING 
  • temporary 
  • aims at community integration and community contribution (not just a result presentation) 
  • but no need to produce results
  • free to join (no costs for participation) 

results

The intermediate results will be published on zenodo on a regular base (you will find the link here). 

The final result will be published in an article to increase visibility (somewhere in the future). 

Organisational Aspects

Start of the SIG meetings, schedule, and registration link will be announced here. 

contact information

For content-wise or organisational questions, please reach out to:

Mario Moser
RWTH Aachen University
Mario.Moser@wzl-iqs.rwth-aachen.de
Rocket.Chat (NFDI instance): @mmoser