The American Academy of Microbiology convened a colloquium to discuss problems in the biological sciences, with emphasis on identifying mechanisms to improve the quality of research. Participants from various disciplines made six recommendations: (i) design rigorous and comprehensive evaluation criteria to recognize and reward high-quality scientific research; (ii) require universal training in good scientific practices, appropriate statistical usage, and responsible research practices for scientists at all levels, with training content regularly updated and presented by qualified scientists; (iii) establish open data at the timing of publication as the standard operating procedure throughout the scientific enterprise; (iv) encourage scientific journals to publish negative data that meet methodologic standards of quality; (v) agree upon common criteria among scientific journals for retraction of published papers, to provide consistency and transparency; and (vi) strengthen research integrity oversight and training. These recommendations constitute an actionable framework that, in combination, could improve the quality of biological research.
Please join us for a free afternoon of clinical research transparency and reproducibility discussion and learning co-hosted by New York University, Center for Open Science, and AllTrials USA (part of Sense About Science USA).
Molecular Biology of the Cell (MBoC) has developed a checklist for authors to help them ensure that their work can be reproduced by others. In so doing, the journal is mboc logofollowing the recommendations in the 2015 whitepaper by the ASCB Reproducibility Task Force. The checklist was developed by a committee of MBoC Editorial Board members chaired by Editor Jean Schwarzbauer and including Associate Editors Rick Fehon, Carole Parent, Greg Matera, Alex Mogilner, and Fred Chang with input from Editor-in-Chief David Drubin and other members of the board.
Animal models are needed to better understand the relationship between diffusion MRI (dMRI) and the underlying tissue microstructure. One promising model for validation studies is the common squirrel monkey, Saimiri sciureus. This study aims to determine (1) the reproducibility of in vivo diffusion measures both within and between subjects; (2) the agreement between in vivo and ex vivo data acquired from the same specimen and (3) normal diffusion values and their variation across brain regions.
You download the data and complete your analysis with ample time to spare. Then, just before deadline, your collaborator lets you know that they've "fixed a data error". Now, you have to do your analysis all over again. This is the reproducibility horror story.
University of Minnesota School of Public Health Assistant Professor Julian Wolfson was named an associate editor for reproducibility for the Journal of the American Statistical Association (JASA). The appointment is in support of the journal’s new requirement for authors to submit scientific code and data for review along with their papers.