Improving Reproducibility in Research

In order to promote better training and ensure the reliability and reproducibility of research, Aaron Carroll developed a series of webisodes (thematically related online videos) targeted at graduate students, postdoctoral fellows, and beginning investigators that will address critical features of experimental design and analysis/reporting.

Module 1: Experimental Design Learning Module
The Experimental Design Learning Module focuses on the intricacies of designing research that is robust, with an eye towards making it reproducible. It is comprised of four distinct learning units: 1) Replication, 2) Randomization, 3) Pitfalls with Experimental Design, and 4) Measurement. Each of these learning units has one or more sub-topics that is the subject of an individual webisode.

Module 2: Analysis/Reporting Learning Module
The Analysis/Reporting Learning Module covers the various factors that are critical to writing about research with enough clarity to ensure its reproducibility. Very few researchers are given formal education on how to properly report findings to support reproducibility. It is comprised of three distinct learning units: 1) Power and P-values, 2) Scientific Writing, 3) The Review Process. Each of these units has one or more sub-topics that are the subject of an individual webisode.


Looking for more? Check out the National Institute of General Medical Sciences (NIGMS) - Clearinghouse for 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).

For the benefit of the scientific community, NIGMS will be posting the products of grants funded by these FOAs HERE as they become available. In addition, NIGMS is sharing other relevant training modules developed, including courses developed from administrative supplements to NIGMS predoctoral T32 grants.

Learning Objectives

Module 1: Experimental Design

At the conclusion of this activity, participants should be able to:

  1. Identify critical features of experimental design
  2. Create reproducable research

 

Module 2: Analysis/Reporting

At the conclusion of this activity, participants should be able to: 

  1. Identify critical features of analysis/reporting.
  2. Successfully write about research
Competencies
Scientific concepts and research design
Data management and informatics
Fee
No
Availability
On demand
Delivery Method
Online

Submitted by Russell Lackey, MS on Fri, 11/15/2019 - 10:34 . Last modified on 10/27/2020