{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T19:44:17Z","timestamp":1740167057959,"version":"3.37.3"},"reference-count":22,"publisher":"F1000 Research Ltd","license":[{"start":{"date-parts":[[2018,7,11]],"date-time":"2018-07-11T00:00:00Z","timestamp":1531267200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["f1000research.com"],"crossmark-restriction":false},"short-container-title":["F1000Res"],"abstract":"Data other than that from clinical trials are important for healthcare decision making. However, unlike the vocal calls seen for more open access to trial data, there are limited efforts being made to ensure that agencies that collect real-world data (RWD) share this, despite its importance. There are many RWD sources across the world that could be readily exploited for research once shared. There are policy and privacy questions that need to be tackled, but opening up and sharing RWD offers remarkable potential for improvements in care for individuals and more effective use of limited healthcare resources. Open science should become the standard for RWD as well as clinical trials, especially those that have a high likelihood to influence practice.<\/ns4:p>","DOI":"10.12688\/f1000research.15517.1","type":"journal-article","created":{"date-parts":[[2018,7,11]],"date-time":"2018-07-11T06:15:59Z","timestamp":1531289759000},"page":"1054","update-policy":"https:\/\/doi.org\/10.12688\/f1000research.crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Time to really share real-world data?"],"prefix":"10.12688","volume":"7","author":[{"given":"Sophie","family":"Graham","sequence":"first","affiliation":[]},{"given":"Laura","family":"McDonald","sequence":"additional","affiliation":[]},{"given":"Radek","family":"Wasiak","sequence":"additional","affiliation":[]},{"given":"Michael","family":"Lees","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4766-5160","authenticated-orcid":false,"given":"Sreeram","family":"Ramagopalan","sequence":"additional","affiliation":[]}],"member":"2560","published-online":{"date-parts":[[2018,7,11]]},"reference":[{"key":"ref-1","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1186\/s12916-016-0647-x","article-title":"Real-world data in the United Kingdom: opportunities and challenges.","volume":"14","author":"L McDonald","year":"2016","journal-title":"BMC Med."},{"key":"ref-2","doi-asserted-by":"publisher","first-page":"703-704","DOI":"10.1001\/jama.2017.9991","article-title":"Multidimensional Evidence Generation and FDA Regulatory Decision Making: Defining and Using \"Real-World\" Data.","volume":"318","author":"J Jarow","year":"2017","journal-title":"JAMA."},{"key":"ref-3","doi-asserted-by":"publisher","first-page":"74-84","DOI":"10.1258\/jrsm.2012.120009","article-title":"Weekend hospitalization and additional risk of death: An analysis of inpatient data.","volume":"105","author":"N Freemantle","year":"2012","journal-title":"J R Soc Med."},{"key":"ref-4","doi-asserted-by":"publisher","first-page":"1024-1032","DOI":"10.1001\/jama.2014.9646","article-title":"Reanalyses of Randomized Clinical Trial Data.","volume":"312","author":"S Ebrahim","year":"2014","journal-title":"JAMA."},{"key":"ref-5","doi-asserted-by":"publisher","first-page":"132-142","DOI":"10.1016\/S1470-2045(16)30560-5","article-title":"Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data.","volume":"18","author":"J Guinney","year":"2017","journal-title":"Lancet Oncol."},{"key":"ref-6","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1038\/nature.2017.21572","article-title":"Open-data contest unearths scientific gems \u2014 and controversy.","volume":"543","author":"H Ledford","year":"2017","journal-title":"Nat News."},{"key":"ref-7","doi-asserted-by":"publisher","first-page":"5-22","DOI":"10.1016\/j.ajhg.2017.06.005","article-title":"10 Years of GWAS Discovery: Biology, Function, and Translation.","volume":"101","author":"P Visscher","year":"2017","journal-title":"Am J Hum Genet."},{"key":"ref-8","doi-asserted-by":"publisher","first-page":"668-681","DOI":"10.1038\/s41588-018-0090-3","article-title":"Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression.","volume":"50","author":"N Wray","year":"2018","journal-title":"Nat Genet."},{"key":"ref-9","doi-asserted-by":"publisher","DOI":"10.1038\/s41398-018-0150-6","article-title":"GWAS on family history of Alzheimer\u2019s disease.","volume":"8","author":"R Marioni","year":"2018","journal-title":"Transl. 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