• Register
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X

Leaving Community

Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.

No
Yes
X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Scientific Data Reproducibility, a conversation - July 23, 2014, 1 pm EST

Drs. Martone of NIF and Iorns of Science Exchange among others address important issues around reproducibility of data.

A video recording of this event is available here. Note you have to register to see it.

Title: Improving Scientific Reproducibility In The Life Sciences: Considerations for Researchers, Publishers and Life Science Tool Providers
Date: July 23, 2014     * completed * video available  
Time: 1:00 PM Eastern (10:00 AM Pacific)         
Duration: 90-minutes


In recent years scientific reproducibility has been a topic of much debate.  This debate has been sparked in part by the now infamous “Amgen Study” conducted by Glenn Begley and team that found fewer than 7 of 53 landmark pre-clinical studies published between 2002 and 2012 could be reproduced as described in the initial publication.

The factors that contribute to poor reproducibility in pre-clinical research are complex; some relate to systemic problems in how research is conducted and funded while others relate to how research is documented and published. Recently the role that scientific suppliers, publishers and researchers can play in improving research reproducibility has come into sharp focus. Improving reagent traceability and documentation in literature have been identified as areas that can make a significant contribution to increased reproducibility.

This webinar will bring together thought leaders that are behind some of these efforts and explore how their projects are contributing to the goal of improving scientific reproducibility.





X

Are you sure you want to delete that component?