This session will highlight the valuable work being performed by the UK Reproducibility Network in developing a culture of open research.

This train-the-trainer–modeled workshop will feature panelists Nafisa Jadavji, Nele Haelterman, and Anuj Kumar Sharma sharing knowledge that will help early career scientists increase the reproducibil...

By providing authors with tools to enhance their reporting standards, we collectively advance the reliability and trustworthiness of scientific literature.

Reproducibility is recognized as essential to scientific progress and integrity. Replication studies and large-scale replication projects, aiming to quantify different aspects of reproducibility, have...

Chess, crosswords, Pokémon Go; most people indulge in games and scientists are no exception. Thanks to social media, I’m more familiar…

Scientists, professors, engineers, teachers and doctors are routinely ranked among the most trustworthy people in society. This is because these professions rely heavily on research, and good research...

Panelists at the HHS Microbiome Subcommittee identified methodological inconsistency, cross‑study harmonization, and representative training data as obstacles to applying AI and scaling microbiome findings.

Even though many scientists are expected to abide by the principles of open, rigorous and reproducible research, few scientists actually receive formal training in this. Indeed, there is no collection written by working scientists for working scientists about the principles of transparent, rigorous and reproducible research and how to go about practicing such research. This handbook represents a constantly updated guide aiming to fill this gap and by doing so actively assist all researchers in producing informative research.

Check out the Community for Rigor's annual conference. Join to hear from leading experts in scientific rigor, receive hands-on demonstrations of our units, and participate in making better science eve...

The Neuroscience Information Framework is a dynamic inventory of Web-based neuroscience resources: data, materials, and tools accessible via any computer connected