Training Modules to Enhance Data Reproducibility

In January 2014, NIH launched a series of initiatives to enhance rigor and reproducibility in research. As a part of this initiative, NIGMS, along with nine other NIH institutes and centers, issued a funding opportunity announcement (FOA) RFA-GM-15-006 to develop, pilot, and disseminate training modules to enhance data reproducibility. This FOA was reissued in 2018 (RFA-GM-18-002).

This Resource Kit was developed using the National Institute of General Medical Sciences (NIGMS) - Clearinghouse for Training Modules to Enhance Data Reproducibility.

Purpose
For the benefit of the scientific community, we will post the products of grants funded by these FOAs on this website as they become available. In addition, we are sharing here other relevant training modules developed, including courses developed from administrative supplements to NIGMS predoctoral T32 grants.

Resource Kit

Please note, the submitter suggests the order of the trainings is not important
Title Intended Audience Competencies Time Required
NIH Rigor and Reproducibility Training Modules Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics, Communication and teamwork
Let's Experiment: A Guide for Scientists Working at the Bench Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics 6 weeks
Improving Reproducibility in Research Researchers, Postdoctoral Scholars, Graduate Students Scientific concepts and research design, Data management and informatics
Pragmatic and Group-Randomized Trials in Public Health and Medicine Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics
Controls in Animal Studies for Rigor and Reproducibility Principal Investigators, Researchers, Postdoctoral Scholars Scientific concepts and research design, Study and site management, Data management and informatics
Statistical Topics for Reproducible Animal Research Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Study and site management, Data management and informatics
Improving Reproducibility of Computational Microbiome Analyses Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics, Communication and teamwork
Principles, Statistical and Computational Tools for Reproducible Data Science - edX Course Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics, Communication and teamwork
The BD2K Guide to the Fundamentals of Data Science Series Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics
Cell Line Authentication Training Principal Investigators, Researchers, Clinical Research Professionals, Postdoctoral Scholars, Graduate Students, Undergraduate Students, Health Care Professionals Scientific concepts and research design, Data management and informatics

Submitted by Russell Lackey, MS on Tue, 03/31/2020 - 08:22 . Last modified on 04/03/2020