{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:34:40Z","timestamp":1740202480627,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"abstract":"<jats:p>International trial databases as ClinicalTrials.gov or the EU Clinical Trials Register lack geographic visualization of clinical trials. Utilizing key requirements from patient support groups and clinical researchers, an interactive online platform called StudyPortal was designed. It enables patients, health providers and clinical researchers to find and localize suitable studies or whole research networks for selected diseases in a geographic proximity. A semantic layer enables multilingual disease input and autosuggestion. Trial information is pulled and processed from ClinicalTrials.gov. In addition, author affiliations of disease-related PubMed articles are retrievable in order to boost sensitivity of visualized research networks. The integration of a geodatabase and maps enables access to geospatial study search and visualization. A preliminary implementation of the platform is already accessible on the web: https:\/\/studyportal.uni-muenster.de. It showed that over 70% of trials and over 90% of scientific articles are visualized correctly by applying expert review and using Web of Science and the WHO trial database as external sources. Publication and trial-registration bias are significant issues that limit completeness of visualization. ClinicalTrials.gov, MEDLINE and geomaps are well-maintained but disconnected sources. StudyPortal integrates these sources to render a novel geospatial view of regional or global clinical research landscapes of US and European trials in real-time. Future work will focus on extensive search filters for recruitment status and intervention characteristics.<\/jats:p>","DOI":"10.3233\/978-1-61499-959-1-163","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:45:24Z","timestamp":1740149124000},"source":"Crossref","is-referenced-by-count":0,"title":["StudyPortal &amp;ndash; A Novel Method to Visualize Study Research Networks"],"prefix":"10.3233","author":[{"family":"Varghese Julian","sequence":"additional","affiliation":[]},{"family":"Fujarski Michael","sequence":"additional","affiliation":[]},{"family":"Dugas Martin","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","ICT for Health Science Research"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T15:33:07Z","timestamp":1740151987000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-958-4&spage=163&doi=10.3233\/978-1-61499-959-1-163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-959-1-163","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2019]]}}}