{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T08:24:51Z","timestamp":1770539091503,"version":"3.49.0"},"reference-count":20,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2022,3,9]],"date-time":"2022-03-09T00:00:00Z","timestamp":1646784000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Sensor data from digital health technologies (DHTs) used in clinical trials provides a valuable source of information, because of the possibility to combine datasets from different studies, to combine it with other data types, and to reuse it multiple times for various purposes. To date, there exist no standards for capturing or storing DHT biosensor data applicable across modalities and disease areas, and which can also capture the clinical trial and environment-specific aspects, so-called metadata. In this perspectives paper, we propose a metadata framework that divides the DHT metadata into metadata that is independent of the therapeutic area or clinical trial design (concept of interest and context of use), and metadata that is dependent on these factors. We demonstrate how this framework can be applied to data collected with different types of DHTs deployed in the WATCH-PD clinical study of Parkinson\u2019s disease. This framework provides a means to pre-specify and therefore standardize aspects of the use of DHTs, promoting comparability of DHTs across future studies.<\/jats:p>","DOI":"10.3390\/s22062136","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T02:10:35Z","timestamp":1646878235000},"page":"2136","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson\u2019s Disease"],"prefix":"10.3390","volume":"22","author":[{"given":"Derek L.","family":"Hill","sequence":"first","affiliation":[{"name":"Panoramic Digital Health, 38000 Grenoble, France"},{"name":"Centre for Medical Imaging, University College London (UCL), London WC1E 6BT, UK"}]},{"given":"Diane","family":"Stephenson","sequence":"additional","affiliation":[{"name":"Critical Path Institute, Tucson, AZ 85718, USA"}]},{"given":"Jordan","family":"Brayanov","sequence":"additional","affiliation":[{"name":"Takeda Development Center Americas, Inc., Deerfield, IL 60015, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1674-9940","authenticated-orcid":false,"given":"Kasper","family":"Claes","sequence":"additional","affiliation":[{"name":"UCB Pharma, 1070 Brussels, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9291-7240","authenticated-orcid":false,"given":"Reham","family":"Badawy","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Birmingham, Birmingham B15 2TT, UK"}]},{"given":"Sakshi","family":"Sardar","sequence":"additional","affiliation":[{"name":"Critical Path Institute, Tucson, AZ 85718, USA"}]},{"given":"Katherine","family":"Fisher","sequence":"additional","affiliation":[{"name":"Biogen, Cambridge, MA 02142, USA"}]},{"given":"Susan J.","family":"Lee","sequence":"additional","affiliation":[{"name":"Merck, Kenilworth, NJ 07033, USA"}]},{"given":"Anthony","family":"Bannon","sequence":"additional","affiliation":[{"name":"AbbVie, North Chicago, IL 60064, USA"}]},{"given":"George","family":"Roussos","sequence":"additional","affiliation":[{"name":"Birkbeck College,  University of London, London WC1E 7HX, UK"}]},{"given":"Tairmae","family":"Kangarloo","sequence":"additional","affiliation":[{"name":"Takeda Development Center Americas, Inc., Deerfield, IL 60015, USA"}]},{"given":"Viktorija","family":"Terebaite","sequence":"additional","affiliation":[{"name":"H.Lundbeck A\/S, 2500 Valby, Denmark"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1133-7202","authenticated-orcid":false,"given":"Martijn L. T. M.","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Critical Path Institute, Tucson, AZ 85718, USA"}]},{"given":"Roopal","family":"Bhatnagar","sequence":"additional","affiliation":[{"name":"Critical Path Institute, Tucson, AZ 85718, USA"}]},{"given":"Jamie L.","family":"Adams","sequence":"additional","affiliation":[{"name":"Department of Neurology, University of Rochester, Rochester, NY 14642, USA"}]},{"given":"E. Ray","family":"Dorsey","sequence":"additional","affiliation":[{"name":"Department of Neurology, University of Rochester, Rochester, NY 14642, USA"}]},{"given":"Josh","family":"Cosman","sequence":"additional","affiliation":[{"name":"AbbVie, North Chicago, IL 60064, USA"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1016\/S1474-4422(19)30397-7","article-title":"Long-Term Unsupervised Mobility Assessment in Movement Disorders","volume":"19","author":"Warmerdam","year":"2020","journal-title":"Lancet Neurol."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1002\/jmri.21049","article-title":"The Alzheimer\u2019s Disease Neuroimaging Initiative (ADNI): MRI Methods","volume":"27","author":"Jack","year":"2008","journal-title":"J. Magn. Reson. 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