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Research Paper
Open Access

Sharing clinical trial data on patient level: Opportunities and challenges

Franz Koenig

Corresponding Author

Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria

Corresponding author: e‐mail:

Franz.Koenig@meduniwien.ac.at

, Phone: +‐43‐1‐404007480, Fax: +43‐1‐404007477
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Jim Slattery

European Medicines Agency (EMA), 7 Westferry Circus – Canary Wharf, London, E14 4HB UK

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Thomas Lang

AGES – Austrian Agency for Health and Food Safety, Federal Office for Safety in Health Care, Traisengasse 5, 1200 Vienna, Austria

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Yoav Benjamini

Department of Statistics and Operations Research, The Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, 6997801 Israel

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Simon Day

Clinical Trials Consulting and Training, 53 Portway, North Marston, Buckinghamshire, MK18 3PL UK

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Peter Bauer

Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria

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Martin Posch

Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria

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First published: 18 June 2014
Cited by: 21

Abstract

In recent months one of the most controversially discussed topics among regulatory agencies, the pharmaceutical industry, journal editors, and academia has been the sharing of patient‐level clinical trial data. Several projects have been started such as the European Medicines Agency´s (EMA) “proactive publication of clinical trial data”, the BMJ open data campaign, or the AllTrials initiative. The executive director of the EMA, Dr. Guido Rasi, has recently announced that clinical trial data on patient level will be published from 2014 onwards (although it has since been delayed). The EMA draft policy on proactive access to clinical trial data was published at the end of June 2013 and open for public consultation until the end of September 2013. These initiatives will change the landscape of drug development and publication of medical research. They provide unprecedented opportunities for research and research synthesis, but pose new challenges for regulatory authorities, sponsors, scientific journals, and the public. Besides these general aspects, data sharing also entails intricate biostatistical questions such as problems of multiplicity. An important issue in this respect is the interpretation of multiple statistical analyses, both prospective and retrospective. Expertise in biostatistics is needed to assess the interpretation of such multiple analyses, for example, in the context of regulatory decision‐making by optimizing procedural guidance and sophisticated analysis methods.

Number of times cited according to CrossRef: 21

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