{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:23:00Z","timestamp":1740201780980,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>Whenever medical data is integrated from multiple sources, it is regarded good practice to separate data from information about its meaning, such as designations, definitions or permissible values (in short: metadata). However, the ways in which applications work with metadata are imperfect: Many applications do not support fetching metadata from externalized sources such as metadata repositories. In order to display human-readable metadata in any application, we propose not to change the application, but to provide a library that makes a change to the user interface. The goal of this work is to provide a way to &amp;ldquo;inject&amp;rdquo; the meaning of metadata keys into the web-based frontend of an application to make it &amp;ldquo;metadata aware&amp;rdquo;.<\/jats:p>","DOI":"10.3233\/978-1-61499-896-9-45","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:47:32Z","timestamp":1740127652000},"source":"Crossref","is-referenced-by-count":0,"title":["A Method to Use Metadata in Legacy Web Applications: The Samply.MDR.Injector"],"prefix":"10.3233","author":[{"family":"Kern Jori","sequence":"additional","affiliation":[]},{"family":"Tas Deniz","sequence":"additional","affiliation":[]},{"family":"Ulrich Hannes","sequence":"additional","affiliation":[]},{"family":"Schmidt Esther E.","sequence":"additional","affiliation":[]},{"family":"Ingenerf Josef","sequence":"additional","affiliation":[]},{"family":"&Uuml;ckert Frank","sequence":"additional","affiliation":[]},{"family":"Lablans Martin","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences: A Learning Healthcare System"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T08:59:14Z","timestamp":1740128354000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-895-2&spage=45&doi=10.3233\/978-1-61499-896-9-45"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-896-9-45","relation":{},"ISSN":["0926-9630"],"issn-type":[{"value":"0926-9630","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}