The call by Glenn Begley and Lee Ellis to raise standards in preclinical cancer research (Nature 483, 531–533; 2012) is an admirable piece of self-critique that can be extended to all who study and ...

Reproducibility is one of the buzziest terms in science today. After all, science by its nature is not supposed to be a one-and-done affair. But a new paper in Science Translational Medicine argues ...

Reproducibility is a common standard for scientific data. If experimental or descriptive data cannot be reproduced, then they are generally discarded. Reproducibility was mentioned by several ...

Science isn’t facing a reproducibility catastrophe, but the scientific community could take important steps to improve reporting and replicability, according to a new report from the US National ...

What if I told you that half of the studies published in scientific journals today – the ones upon which news coverage of medical advances is often based – won’t hold up under scrutiny? You might say ...

Understanding and controlling complicated experimental systems well enough to achieve reproducibility is hard. Lining up incentives to encourage scientists to tackle this challenge together, rather ...

Independent verification of data is a cornerstone of scientific research. The scientific method relies on reproducibility to validate findings and build up | Cell And Molecular Biology ...

Power meters have become ubiquitous for professional, elite, and even recreational cyclists. What should we understand about their accuracy.

In a story published last week in the Boston Globe, Carolyn Johnson covered one of the quiet crises facing scientific research today: the fact that a lot of published experiments simply can't be ...

Receive emails about upcoming NOVA programs and related content, as well as featured reporting about current events through a science lens. A growing chorus of researchers says there’s a ...

Reproducibility is often trampled underfoot in AI’s rush to results. And the movement to agile methodologies may only exacerbate AI’s reproducibility crisis. Without reproducibility, you can’t really ...