How to Improve Reproducibility of Team Science: A CTSA BERD's Eye View

Session Description

With larger teams and ever more data, practicing reproducible research is becoming increasingly complex. Those analyzing the data are often different from those who collect and generate the data, and different from those interpreting the data. This can lead to gaps in the team’s knowledge around key data processing or analysis decisions. Transparent, robust documentation is also a key step to uncovering errors. This talk will describe implications of these challenges as well as some generalizable, practical solutions developed within two CTSA Biostatistics, Epidemiology, and Research Design (BERD) units.

Presenters:

Leah Welty, PhD
   Professor, Department of Preventive Medicine, Division of Biostatistics and Informatics, Department of Psychiatry and Behavioral Sciences
   Director, Biostatistics Collaboration Center
   Northwestern University Feinberg School of Medicine
   

Manisha Desai, PhD
   Kim and Ping Li Professor of Medicine, Biomedical Data Science, and (by courtesy) Epidemiology and Population Health
   Associate Dean of Quantitative and Data Sciences
   Section Chief of Biostatistics
   Director of the Quantitative Sciences Unit
   Director of the Biostatistics Epidemiology Research Design Program
   Director of the Biostatistics Shared Resource for the Stanford Cancer Institute
   Stanford University