{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:49:59Z","timestamp":1747216199860,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685366"}],"license":[{"start":{"date-parts":[[2024,8,30]],"date-time":"2024-08-30T00:00:00Z","timestamp":1724976000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,8,30]]},"abstract":"<jats:p>Introduction: The Local Data Hub (LDH) is a platform for FAIR sharing of medical research (meta-)data. In order to promote the usage of LDH in different research communities, it is important to understand the domain-specific needs, solutions currently used for data organization and provide support for seamless uploads to a LDH. In this work, we analyze the use case of microneurography, which is an electrophysiological technique for analyzing neural activity. Methods: After performing a requirements analysis in dialogue with microneurography researchers, we propose a concept-mapping and a workflow, for the researchers to transform and upload their metadata. Further, we implemented a semi-automatic upload extension to odMLtables, a template-based tool for handling metadata in the electrophysiological community. Results: The open-source implementation enables the odML-to-LDH concept mapping, allows data anonymization from within the tool and the creation of custom-made summaries on the underlying data sets. Discussion: This concludes a first step towards integrating improved FAIR processes into the research laboratory\u2019s daily workflow. In future work, we will extend this approach to other use cases to disseminate the usage of LDHs in a larger research community.<\/jats:p>","DOI":"10.3233\/shti240836","type":"book-chapter","created":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T08:59:20Z","timestamp":1725526760000},"source":"Crossref","is-referenced-by-count":0,"title":["Semi-Automatic Export of Electrophysiological Metadata to NFDI4Health Local Data Hubs: Use Case of Microneurography odML-Tables \u2013 A Technical Case Report"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9454-7174","authenticated-orcid":false,"given":"Mayra Roxana","family":"Elwes","sequence":"first","affiliation":[{"name":"Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany"}]},{"given":"Alina","family":"Troglio","sequence":"additional","affiliation":[{"name":"Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany"}]},{"given":"Masoud","family":"Abedi","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany"}]},{"given":"Martin","family":"Golebiewski","sequence":"additional","affiliation":[{"name":"Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany"}]},{"given":"Frank","family":"Meineke","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany"}]},{"given":"Toralf","family":"Kirsten","sequence":"additional","affiliation":[{"name":"Institute for Medical Informatics, Statistics, and Epidemiology (IMISE), Leipzig University, Leipzig, Germany"}]},{"given":"Barbara","family":"Namer","sequence":"additional","affiliation":[{"name":"Research Group Neuroscience, IZKF, Department of Neurophysiology, RWTH Aachen University, Aachen, Germany"}]},{"given":"Oya","family":"Beyan","sequence":"additional","affiliation":[{"name":"Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany"},{"name":"Medical Data Integration Center, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany"}]},{"given":"Ekaterina","family":"Kutafina","sequence":"additional","affiliation":[{"name":"Institute for Biomedical Informatics, Faculty of Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany"},{"name":"Scientific Center for Neuropathic Pain Research Aachen, University Hospital RWTH Aachen, Aachen, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences 2024"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI240836","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T08:59:21Z","timestamp":1725526761000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI240836"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,30]]},"ISBN":["9781643685366"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti240836","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,8,30]]}}}