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Making it easy for humans to make metadata for machines

Machine-actionable metadata are core to the FAIR Principles. GO FAIR / RDA has launched the “Metadata for Machines” workshop series (M4M) to stimulate the creation and re-use of FAIR metadata standards and machine-ready templates.

The M4M workshops are agile, hackathon-style events that bring together domain experts with metadata and technical specialists to accomplish 4 objectives:

  1. Using the FAIR principles as a guide, define essential (minimal) metadata elements and standards for any self-described community;
  2. Formulate these decisions as machine-actionable templates;
  3. Register these templates such that they are Openly accessible and available for re-use by tools that can render these templates in familiar, easy to use web forms, APIs, or other capture tools.
  4. Bundle appropriate M4M metadata elements and link them to FAIR resources, ensuring higher degrees of F, A, I, and R by machines.

GO FAIR / RDA M4M Workshops ensure coordination with the metadata standards chosen in other M4M workshops, many of which are conducted in other domains that would not likely share schema or standards. Collectively, the M4M series of workshops result in an Open repository of machine-ready, easy to use and interoperable FAIR metadata templates. Anyone can access this ’sea’ of metadata templates, re-use elements as they see fit, and deploy them using metadata editors and other data capture tools.

The overall goal of M4M is to make machine-actioanble metadata a routine.

The first M4M Workshop was held in Leiden, October 15-16: Metadata 4 machines help you find and (re)use relevant research data by Kristina Hettne (November 2, 2018)

This event is co-organized by