Public registration and reporting of clinical trials is essential to minimize publication bias and increase the efficiency of medical research. ClinicalTrials.gov, one of the largest and most successful trial registration initiatives to date, provides an online searchable database of clinical studies of human participants conducted around the world.
Videos from our 2015 conference are now posted. Discover proposed solutions from leading experts in meta-research.
As the scientific enterprise has grown in size and diversity, we need empirical evidence on the research process to test and apply interventions that make it more efficient and its results more reliable. Meta-research is an evolving scientific discipline that aims to evaluate and improve research practices. It includes thematic areas of methods, reporting, reproducibility, evaluation, and incentives (how to do, report, verify, correct, and reward science). Much work is already done in this growing field, but efforts to-date are fragmented. We provide a map of ongoing efforts and discuss plans for connecting the multiple meta-research efforts across science worldwide.
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News: BioMed Central BlogMore Details
In this post we look at the reasons behind why writing and publishing your trial protocol and statistical analysis plan is important, particularly prospectively, and how reporting guidelines are available for this step.
News: STATMore Details
Science is about discovery. But discovery does little good unless it is shared. The way we have traditionally shared information in biomedicine — submitting articles to peer-reviewed journals — can add a year or more to publication.
Recently, I was asked to review a Randomized Controlled Trial concerning an antidepressant. Among my comments, I requested the authors provide individual data allowing for a re-analysis. Kindly, the authors answered me that my comment was weird and they’ve never received such a request.
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Workshops and Meetings: Coventry, UKMore Details
Bridges will host a colloquium series on scientific reproducibility. This series responds to the increasing concerns over the (ir)reproducibility of experimental results across many scientific disciplines.