{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T13:23:03Z","timestamp":1777555383947,"version":"3.51.4"},"reference-count":52,"publisher":"SAGE Publications","issue":"1-2","license":[{"start":{"date-parts":[[2019,10,3]],"date-time":"2019-10-03T00:00:00Z","timestamp":1570060800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Data Science"],"published-print":{"date-parts":[[2019,11,25]]},"abstract":"<jats:p>Translational research applies findings from basic science to enhance human health and well-being. In translational research projects, academia and industry work together to improve healthcare, often through public-private partnerships. This \u201ctranslation\u201d is often not easy, because it means that the so-called \u201cvalley of death\u201d will need to be crossed: many interesting findings from fundamental research do not result in new treatments, diagnostics and prevention. To cross the valley of death, fundamental researchers need to collaborate with clinical researchers and with industry so that promising results can be implemented in a product. The success of translational research projects often does not depend only on the fundamental science and the applied science, but also on the informatics needed to connect everything: the translational research informatics. This informatics, which includes data management, data stewardship and data governance, enables researchers to store and analyze their \u2018big data\u2019 in a meaningful way, and enable application in the clinic. The author has worked on the information technology infrastructure for several translational research projects in oncology for the past nine years, and presents his lessons learned in this paper in the form of ten commandments. These commandments are not only useful for the data managers, but for all involved in a translational research project. Some of the commandments deal with topics that are currently in the spotlight, such as machine readability, the FAIR Guiding Principles and the GDPR regulations. Others are mentioned less in the literature, but are just as crucial for the success of a translational research project.<\/jats:p>","DOI":"10.3233\/ds-190020","type":"journal-article","created":{"date-parts":[[2019,9,10]],"date-time":"2019-09-10T11:30:22Z","timestamp":1568115022000},"page":"341-352","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["The ten commandments of translational research informatics"],"prefix":"10.1177","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0208-8443","authenticated-orcid":false,"given":"Tim","family":"Hulsen","sequence":"first","affiliation":[{"name":"Department of Professional Health Solutions & Services, Philips Research, Eindhoven, The\u00a0Netherlands. E-mail:\u00a0"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,10,3]]},"reference":[{"key":"ref001","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gky379"},{"key":"ref002","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-017-17204-5"},{"key":"ref003","doi-asserted-by":"publisher","DOI":"10.1007\/s12265-011-9260-8"},{"key":"ref004","doi-asserted-by":"publisher","DOI":"10.1038\/453840a"},{"key":"ref005","doi-asserted-by":"publisher","DOI":"10.5334\/dsj-2015-002"},{"key":"ref006","unstructured":"Castor, Castor EDC \u2013 Cloud-based electronic data capture platform, https:\/\/www.castoredc.com."},{"key":"ref007","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-010-9347-9"},{"key":"ref008","unstructured":"DICOM Anonymizer, https:\/\/dicomanonymizer.com\/."},{"key":"ref009","unstructured":"DicomCleaner, http:\/\/www.dclunie.com\/pixelmed\/software\/webstart\/DicomCleanerUsage.html."},{"key":"ref010","first-page":"1","volume":"59","author":"The European Parliament and the Council of the European Union","year":"2016","journal-title":"Official Journal of the European Union"},{"key":"ref011","doi-asserted-by":"publisher","DOI":"10.1126\/scisignal.2004088"},{"key":"ref012","unstructured":"U.S. Government, Health Insurance Portability and Accountability Act Of 1996, https:\/\/www.govinfo.gov\/content\/pkg\/PLAW-104publ191\/html\/PLAW-104publ191.htm."},{"key":"ref013","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.12344.1"},{"key":"ref014","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.158"},{"key":"ref015","unstructured":"Handbook for adequate natural data stewardship (HANDS) \u2013 Data stewardship, https:\/\/data4lifesciences.nl\/hands2\/data-stewardship\/."},{"key":"ref016","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2008.08.010"},{"key":"ref017","unstructured":"Horizon 2020 \u2013 The EU framework programme for research and innovation, https:\/\/ec.europa.eu\/programmes\/horizon2020\/en."},{"key":"ref018","doi-asserted-by":"publisher","DOI":"10.21037\/tau.2019.03.01"},{"key":"ref019","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2019.00034"},{"key":"ref020","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.32121.01123"},{"key":"ref021","doi-asserted-by":"publisher","DOI":"10.1016\/S1569-9056(16)60959-4"},{"key":"ref022","doi-asserted-by":"publisher","DOI":"10.1016\/S1569-9056(19)31278-3"},{"key":"ref023","unstructured":"T.\u00a0Hulsen, W.\u00a0Van der Linden, D.\u00a0Pletea, J.H.\u00a0Obbink and M.J.\u00a0Quist, Data model mapping, 2017. https:\/\/patentscope.wipo.int\/search\/en\/detail.jsf?docId=WO2017167628."},{"key":"ref024","doi-asserted-by":"publisher","DOI":"10.1111\/j.1752-8062.2012.00401.x"},{"key":"ref025","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-018-0082-y"},{"key":"ref026","doi-asserted-by":"publisher","DOI":"10.1177\/1833358318774357"},{"key":"ref027","unstructured":"LIMA \u2013 Liquid biopsies and imaging, https:\/\/lima-project.eu\/."},{"key":"ref028","doi-asserted-by":"publisher","DOI":"10.1016\/j.jconrel.2012.03.012"},{"key":"ref029","doi-asserted-by":"publisher","DOI":"10.1385\/NI:5:1:11"},{"key":"ref030","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2015.08.020"},{"key":"ref031","doi-asserted-by":"publisher","DOI":"10.1111\/nyas.13272"},{"key":"ref032","unstructured":"G.A.\u00a0Meijer, J.W.\u00a0Boiten, J.A.M.\u00a0Beli\u00ebn, H.M.W.\u00a0Verheul, M.N.\u00a0Cavelaars, A.\u00a0Dekker, P.\u00a0Lansberg, R.J.A.\u00a0Fijneman, W.\u00a0Van der Linden, R.\u00a0Azevedo and N.\u00a0Stathonikos, TraIT \u2013 Translational research IT, 2017. https:\/\/trait.health-ri.nl\/TraITbookletFinalHR.pdf."},{"key":"ref033","doi-asserted-by":"publisher","DOI":"10.1136\/jamia.2009.000893"},{"key":"ref034","unstructured":"Occhiolino \u2013 Laboratory information management system for healthcare and biomedicine, http:\/\/lims.gnu.org."},{"key":"ref035","unstructured":"OpenClinica \u2013 Electronic data capture for clinical research, https:\/\/www.openclinica.com."},{"key":"ref036","doi-asserted-by":"publisher","DOI":"10.2310\/6650.2005.00402"},{"key":"ref037","doi-asserted-by":"publisher","DOI":"10.1038\/538127a"},{"key":"ref038","first-page":"984","volume":"2014","author":"Prasser F.","year":"2014","journal-title":"AMIA Annu Symp Proc"},{"key":"ref039","unstructured":"RE-IMAGINE \u2013 Correcting five decades of error through enabling image-based risk stratification of localised prostate cancer, https:\/\/www.reimagine-pca.org\/."},{"key":"ref040","unstructured":"Research data management (a how-to guide): Research data management definition, https:\/\/libguides.depaul.edu\/c.php?g=620925&p=4324498."},{"key":"ref041","doi-asserted-by":"publisher","DOI":"10.1111\/j.1475-6773.2010.01140.x"},{"key":"ref042","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0205898"},{"key":"ref043","first-page":"96","volume":"2014","author":"Scheufele E.","year":"2014","journal-title":"AMIA Jt Summits Transl Sci Proc"},{"key":"ref044","doi-asserted-by":"publisher","DOI":"10.4103\/0976-500X.81919"},{"key":"ref045","unstructured":"SlideAtlas \u2013 Whole slide image viewer, https:\/\/slide-atlas.org\/."},{"key":"ref046","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2011.01.002"},{"key":"ref047","unstructured":"SourceForge \u2013 The complete open-source and business software platform, https:\/\/sourceforge.net\/."},{"key":"ref048","doi-asserted-by":"publisher","DOI":"10.3163\/1536-5050.103.3.011"},{"key":"ref049","unstructured":"H.C.\u00a0White, S.\u00a0Carrier, A.\u00a0Thompson, J.\u00a0Greenberg and R.\u00a0Scherle, The Dryad data repository: A Singapore framework metadata architecture in a DSpace environment, in: DCMI \u201908 Proceedings of the 2008 International Conference on Dublin Core and Metadata Applications, 2008, pp.\u00a0157\u2013162. https:\/\/dl.acm.org\/citation.cfm?id=1503435."},{"key":"ref050","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2016.18"},{"key":"ref051","doi-asserted-by":"publisher","DOI":"10.1055\/s-0038-1639444"},{"key":"ref052","unstructured":"Zenodo \u2013 Research. Shared, https:\/\/zenodo.org\/."}],"container-title":["Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-190020","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/DS-190020","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-190020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T18:10:02Z","timestamp":1777399802000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/DS-190020"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,3]]},"references-count":52,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2019,11,25]]}},"alternative-id":["10.3233\/DS-190020"],"URL":"https:\/\/doi.org\/10.3233\/ds-190020","relation":{},"ISSN":["2451-8484","2451-8492"],"issn-type":[{"value":"2451-8484","type":"print"},{"value":"2451-8492","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,10,3]]}}}