Project TIER Teaching Integrity in Empirical Research

What's new

• Share your experience

  The RDA CURE-FAIR Working Group (Subgroup 3 - Challenges) is gathering user stories to better understand the particular challenges for all those who are involved in making computational reproducibility possible or attempting computational reproducibility (i.e., the ability to repeat the analysis and arrive at the same results). The goal is to provide a set of guidelines for preparing materials to better achieve this.

  We invite you to submit your pain-point stories relating to computational reproducibility by using this user-friendly short form. Please pass on the link to anyone who may be interested.

• Welcome the 2020/21 TIER Fellows

  We are delighted to announce the 2020/21 cohort of TIER Fellows: Alex Coppock, Aneta Piekut, and Ingo Rohlfing. Each brings exceptional talent and dedication to promoting transparency in empirical research. We are excited to work with them in the coming year to advance Project TIER's ambitious agenda.

• Join the TIER Network

  The TIER Network is a forum for exchange of ideas among instructors, researchers, and data support specialists working to integrate transparency and reproducibility into the training of students in quantitative fields. Check out current members and their reproducibility/transparency initiatives.