Metadata for Machines

Metadata for Machines is about helping researchers structure metadata so that computers can automatically find relevant research data.


The FAIR principles focus on making rich metadata available which can be interpreted by both humans and - especially - machines, ie. computers. Making metadata machine-readable and scientifically relevant requires an effort by the individual disciplines to define its standards.

DeiC is working, in close collaboration with GO FAIR, to develop the format of the workshop. The goal of 2 half-day modules is to help a research group to be able to work concretely with tools and methods to make metadata more FAIR.

DeiC aims to be able to offer this workshop format as an open resource for free use by the universities during 2021. In this context, it may be possible to establish a Train the Trainers program for workshop leaders.

Previous workshops

In 2020 a series of workshops (5 x 2 days) have been held in collaboration with the GoFAIR foundation and Stanford University. Participating in the workshop were two research groups, AnaEE and DTU Wind Energy. The aim of the workshop series was for the two research groups to produce a roadmap (DTU Wind Energy roadmap) for their advanced FAIRification process.

You can find slides from the webinar held in January 2021 here.

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Revised 17/05/21

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