Interviews with senior biomedical researchers reveal a perceived decline in trust in the scientific enterprise, in large part because the quantity of new data exceeds the field's ability to process it appropriately.

A survey of researchers at the Montreal Neurological Institute and Hospital provides insights into the challenges and opportunities involved in adopting an open science policy across an entire patient-oriented academic institution.

Open research practices bring significant benefits to researchers.

A combined experimental and modeling approach provides insight into potential biases when inferring transcription rates from static mRNA distributions, and shows that correcting for cell-cycle phase and post-transcriptional noise provides rates that agree with live-cell transcription measurements.

An ellipse of insignificant analysis is a robust method for ascertaining the strength of even large dichotomous outcome trials in biomedical science, and is a novel means to detect potentially dubious results and research fraud.

Strategies to improve public trust in biomedical research are being hindered by a scientific mindset that stifles interest in reform.

Understanding how data were collected and processed is an essential element of big data biology.

Genome sequencing reveals the evolution and epidemiology of Leishmania donovani in the Indian subcontinent, where epidemics have caused up to 30,000 deaths per year.

Offering users reaction buttons that convey reliability (e.g., ‘trust’, ‘distrust’) increases discernment and significantly reduces the spread of misinformation on a social media platform.