Project

TReMorS: Transparent and Reproducible Modern Science

Mapping the presence and impact of open-source software in research with large data and AI.

Open-source code, made freely available to the scientific community, is an essential ingredient for the credibility and innovativeness of research. It serves both a protective role (allowing for the interrogation of published research) and a supportive role (improving scientific practice and accelerating discoveries). However, little is known about how open-source code practices impact transparency, reproducibility, and productivity in research and how policy changes influence these practices. In this project, we evaluate code quality, link code to research outputs, and examine factors driving the adoption of open-source practices.

Project Activities & Impact

We link code repositories to academic publications to answer questions such as:

What areas of intervention might be suitable to increase the quality of open-source code and how could these be tested?.
To what degree are open-source practices followed across scientific disciplines?
What is the impact of open-source code practices on the integrity and productivity of science in those disciplines?