The Summit will also introduce GBSI’s Reproducibility2020, an action plan for the biomedical research community to significantly improve the quality of research by 2020 targeting: 1) improved validation and standardization of biological reagents; 2) better tools and technologies to expand open access for reporting and sharing protocols and data; and 3) increased training that emphasizes rigorous study design and practice.
A talk given by Noam Ross: "Why was, as the title suggests, primarily focused on the benefits of reproducibility to us, and I proceeded from avoiding negatives (risk avoidance) to creating positives (more impact). In How I tried to be very high-level, talking about major concepts in reproducibility, and then talking generally about the tools that I have used for each, emphasizing that they may not be the right tools for everyone. Then we had a discussion about the most promising areas and tools to start with."
Fernando Chirigati and Remi Rampin's poster "Enhancing Scholarly Communication with ReproZip" was recently accepted at FORCE2016, a conference from FORCE11 a community of scholars, librarians, archivists, publishers and research funders that has arisen organically to help facilitate the change toward improved knowledge creation and sharing.
Lecture on January 25, 2016; 4:00pm to 5:00pm; 3110 Etcheverry Hall at Berkely Institute of Data Science. What does it mean to work reproducibly and transparently? Why bother? Whom does it benefit, and how? What will it cost me? What work habits will I need to change? Will I need to learn new tools? What resources help? What's the simplest thing I can do to make my work more reproducible? How can I move my discipline, my institution, and science as a whole towards reproducibility?
The topics of scientific rigor and data reproducibility have been increasingly covered in the scientific and mainstream media, and are being addressed by publishers, professional organizations, and funding agencies, including NIH. This webinar – the first in a series titled Training Modules to Enhance Data Reproducibility (TMEDR) – will address topics of scientific rigor as they pertain to pre-clinical neuroscience research.
We need mathematical help to tell the difference between a real discovery and the illusion of one. Fellow of the Royal Society and future President of the Royal Statistical Society, Sir David Spiegelhalter visits Dr Nicole Janz to discuss reproducibility in scientific publications.