odML-Tables as a Metadata Standard in Microneurography

Studies in health technology and informatics, vol. 307, pp. 3–11

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.

Authors 7

1. Alina Troglio Aachen Research group Neuroscience Department of Physiology

   RWTH Aachen University

   Affiliation as printed

   Research Group Neuroscience, IZKF, Department of Physiology, RWTH Aachen University, Aachen, Germany

2. Aidan P. Nickerson

   University of Bristol

   Affiliation as printed

   Eli Lilly and Company, Bracknell, UK

   School of Physiology, Pharmacology and Neuroscience Bristol Anaesthesia, Critical Care and Pain Research, University of Bristol, UK

3. Fabian Schlebusch Aachen Research group Neuroscience Department of Physiology

   RWTH Aachen University

   Affiliation as printed

   Research Group Neuroscience, IZKF, Department of Physiology, RWTH Aachen University, Aachen, Germany

4. Rainer Röhrig Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany

5. James Philip Dunham

   University of Bristol

   Affiliation as printed

   School of Physiology, Pharmacology and Neuroscience Bristol Anaesthesia, Critical Care and Pain Research, University of Bristol, UK

6. Barbara Namer Aachen Research group Neuroscience Department of Physiology

   RWTH Aachen University

   Affiliation as printed

   Research Group Neuroscience, IZKF, Department of Physiology, RWTH Aachen University, Aachen, Germany

7. Ekaterina Kutafina Aachen Institute of Medical Informatics Medical Faculty

   RWTH Aachen University

   Affiliation as printed

   Institute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany