In February, we asked for input on training activities relevant to enhancing data reproducibility, which has become a very serious issue for both basic and clinical research. The responses revealed that there is substantial variation in the training occurring at institutions. One reason is that “best practices” training in skills that influence data reproducibility appears to be largely passed down from generation to generation of scientists working in the laboratory. To increase the likelihood that researchers generate reproducible, unbiased and properly validated results, NIGMS and nine additional NIH components have issued a funding opportunity announcement to develop, pilot and disseminate training modules to enhance data reproducibility. Appropriate areas for the modules include experimental design, laboratory practices, analysis and reporting of results, and/or the influence of cultural factors such as confirmation bias in hypothesis testing or the scientific rewards system. The modules should be creative, engaging, readily accessible online at no cost and easily incorporated into research training programs for the intended audience, which includes graduate students, postdoctoral fellows and beginning faculty. The application deadline is November 20, 2014, with letters of intent due by October 20, 2014. Applicants may request up to $150,000 in total costs to cover the entire award period. For more details, read the FAQs.