Data reproducibility is key to the reinforcement and credibility of scientific evidence. All results should be replicable by different investigators in varied geographical settings, using independent data, instruments, and analytical methods. In biomedical research, the reproducibility crisis is perpetual. To address this plaguing issue, researchers have adopted best practices such as the inclusion of standard research reporting guidelines, automation of data analyses, utilization of public data repositories, and revelation of negative or null results. Enago in collaboration with the Future Science Group—an independent publisher focused on breakthrough research in medical, biotechnological, and scientific research—conducted an advanced session to discuss the underlying causes of poor data reproducibility and ways to circumvent these pitfalls in their data.
Researchers will have a better understanding of the following:
- Primary reasons for poor data reproducibility
- Methods for addressing low reproducibility
- Standard research reporting guidelines
- Transparency and ethical reproducibility – Best practices and standards
Founded in 2001, Future Science Group (FSG) is a progressive publisher focused on breakthrough medical, biotechnological, and scientific research. FSG’s portfolio includes two imprints, Future Science and Future Medicine. Both publish eBooks and journals. In addition to this core publishing business, FSG develops specialist eCommunities. Key titles and sites include Bioanalysis Zone, Epigenomics, Nanomedicine, and the award-winning Regenerative Medicine. The aim of FSG is to service the advancement of clinical practice and drug research by enhancing the efficiency of communications among clinicians, researchers, and decision-makers, and by providing innovative solutions to their information needs.
SESIÓN DIRIGIDA A
- Graduate students
- Postdoctoral researchers
- Established researchers
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