ReaDI Program

The ReaDI Program

The Research and Data Integrity (ReaDI) program is a new program to enhance data management and research integrity at Columbia University. The ReaDI program provides resources, outreach and consultation services to researchers at all stages in their careers. Learn more about the ReaDI Program.

What the ReaDI Program Offers

A collection of tutorials, templates, and "best practices" guidelines to aid in the conduct of research, data management and new rigor and reproducibility requirements. 

Workshops, lectures, and trainings for faculty researchers, postdocs and graduate students will be given on the Morningside and CUMC campuses.

Customized research group presentations for Columbia research groups and departments are available.

Data management and security resources

Follow the ReaDI Program on Social Media

@ReaDI_Columbia

ReaDI Program at Columbia University


About the ReaDI Program

Robust data and research integrity is vital to ensuring that research results are reproducible and verifiable.  As new federal requirements for public access to research data take effect, good practices in these areas are an even higher priority for the research community, for our funders, and for the public.  The ReaDI Program aims to make such good practices as transparent and easy to implement as possible for researchers at all levels at Columbia. The Research and Data Integrity (ReaDI) program is a new program to enhance data management and research integrity at Columbia University.  The ReaDI program provides resources, outreach and consultation to researchers at all stages in their careers.

Definitions
Research Integrity
NIH defines research integrity as the honest, verifiable methods used in the proposal, performance, and evaluation of research and the adherence to rules, regulations, guidelines, and commonly accepted professional norms.
Data Integrity
Data integrity can be defined as the proper data selection, collection, analysis, and handling, in accordance with discipline standards. Data integrity also means that the data is consistent and accurate between what is collected and reported as well as established procedures for the archiving of data.