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. 2023 Sep 12:307:3-11.
doi: 10.3233/SHTI230687.

odML-Tables as a Metadata Standard in Microneurography

Alina Troglio  1 , Aidan Nickerson  2   3 , Fabian Schlebusch  1 , Rainer Röhrig  4 , James Dunham  2 , Barbara Namer  1 , Ekaterina Kutafina  4
Affiliations

odML-Tables as a Metadata Standard in Microneurography

Alina Troglio et al. Stud Health Technol Inform. .

Abstract

Metadata is essential for handling medical data according to FAIR principles. Standards are well-established for many types of electrophysiological methods but are still lacking for microneurographic recordings of peripheral sensory nerve fibers in humans. Developing a new concept to enhance laboratory workflows is a complex process. We propose a standard for structuring and storing microneurography metadata based on odML and odML-tables. Further, we present an extension to the odML-tables GUI that enables user-friendly search functionality of the database. With our open-source repository, we encourage other microneurography labs to incorporate odML-based metadata into their experimental routines.

Keywords: FAIR; Metadata; electrophysiology; microneurography; open metadata Markup Language (odML); pain.

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