Reproducibility is fundamental to science. Yet digital technology casts an increasingly long shadow on the principle. When independent investigators examine studies, they are unable to validate about ...

As the result of a mandate from Congress, the National Academies will explore the issues of reproducibility and replication in scientific and engineering research. The committee will explore what is ...

Researchers and data curators warn that vast amounts of publicly available proteomics data risk becoming unusable due to missing metadata, proprietary formats, and poor documentation. Initiatives like ...

Training in methods to enhance rigor, transparency and reproducibility in research is an integral part of training grant-funded programs at Northwestern. The resources on this page provide additional ...

"If researchers want to build on knowledge, they should be able to replicate results to fully comprehend the research that has been done before," says Daniel J. Stekhoven, Ph.D., director of NEXUS ...

In the race to scale sustainable proteins, startups and food manufacturers face a shared challenge: reproducibility – hindered by inconsistent data, testing protocols and equipment calibration. A ...

IOP Publishing has launched a new, free, open data training course designed to give early career researchers (ECRs) the practical skills and confidence they need to share and manage research data ...

Dr. Matthew Lewis discusses why data quality is fundamental to metabolomics research, how AI‑ready workflows and upgradeable ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...