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October 2018

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Talk announcement: "Data sharing and reproducibility in clinical trials" (Florian Naudet)
by LMU Open Science Center News Oct. 22, 2018

Oct. 22, 2018

##Talk announcement: *Florian Naudet (Rennes): "Data sharing and reproducibility in clinical trials"* **When**: Tomorrow, Tuesday 23.10.18, 14:00 **Where**: Library of the IBE (Klinikum Großhadern, U1, between blocks IK und KL). Florian Naudet is first author of the BMJ (2018) paper, together with John PA Ioannidis: Data sharing and reanalysis of randomized controlled trials in leading biomedical journals with a full data sharing policy: survey of studies published in The BMJ and PLOS Medicine. https://doi.org/10.1136/bmj.k400 Bio: Florian Naudet, MD, PhD, is a psychiatrist, meta-researcher and former post-doctoral fellow at METRICS (Meta-Research Innovation Center at Stanford). He is currently teaching Therapeutics at Rennes 1 University, France. His research interests are evaluating and developing methodological solutions to assess treatments in patients, primarily but not exclusive in psychiatric research. He has a strong interest in studying research wastes and data sharing practices. He has worked in the fields of clinical pharmacology, research methodology, epidemiology, and neurosciences. --- ![](cid:B5038F80-425B-401F-B603-636A83E0EDED@psy.lmu.de "PastedImage.png") http://www.osc.lmu.de/

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Talk by Lisa McShane: "Reproducibility of omics research: Shared responsibility and consequences of ignorance"
by LMU Open Science Center News Oct. 17, 2018

Oct. 17, 2018

[News from our website: https://www.osc.uni-muenchen.de/news/mcshane/index.html] #Lisa McShane: "Reproducibility of omics research: Shared responsibility and consequences of ignorance" A talk by the Acting Associate Director, Division of Cancer Treatment and Diagnosis, National Cancer Institute The IBE, LMU Open Science Center, STRATOS, and the European Bioconductor Meeting cordially invite to a guest talk: **When: December 5, 2018 - 5 pm s.t.** **Where: Schellingstr. 3, Room S005** *Abstract:* Irreproducible biomedical research is particularly concerning because flawed findings have the potential to make their way to clinical studies involving human participants. Many factors have been suggested as contributors to irreproducible biomedical research, including poor study design, analytic instability of measurement methods, sloppy data handling, inappropriate and misleading statistical analysis methods, improper reporting or interpretation of results, and on rare occasions, outright scientific misconduct. Potential for these problems to occur is amplified when the research involves use of novel measurement technologies such as “omics assays” which generate large volumes of data requiring specialized expertise and computational approaches for proper management, analysis and interpretation [http://www.nationalacademies.org/hmd/Reports/2012/Evolution-of-Translationa…] Successful translation of omics research findings to safe and effective clinical tests requires a research team with expertise including laboratory and clinical science, bioinformatics, computational science, and statistics. Team members share responsibility for ensuring that research is performed with integrity and best practices are followed to ensure reproducible results. Although making data and computer code publicly available are valuable and important first steps toward promoting reproducible research, they are not sufficient. Through a series of case studies, the many dimensions of reproducible omics research are explored, and shared responsibilities are discussed. Maintaining a culture of reproducible research requires effort, resources, and vigilance to counter many potential threats. --- ![](cid:6AAB3D2E-ABDD-4FEA-A419-8F4A7B3FFAED@psy.lmu.de "PastedImage.png") http://www.osc.lmu.de/

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