Data sharing

Research Symbiont Awards for excellence in data sharing

An example of linking directly to an external project website using `external_link`.

Privacy-preserving generative deep neural networks support clinical data sharing

A method for using generative adversarial neural networks to make a synthetic dataset with differential privacy to enable data sharing. This implementation uses the SPRINT randomized trial of blood pressure lowering as the data source.

Score one for the clinical trial data sharing experiment

Invited editorial comment on a new approach to evaluating whether patients are similar to those actually enrolled in a clinical trial, as opposed to the inclusion and exclusion criteria.

Privacy-preserving generative deep neural networks support clinical data sharing

A method for using generative adversarial neural networks to make a synthetic dataset with differential privacy to enable data sharing. This implementation uses the SPRINT randomized trial of blood pressure lowering as the data source.

Opening opportunities with open data

Researchers in many fields have begun to share data. Increasingly, researchers are sharing data without judging data requests as a gatekeeper or requiring authorship. Despite over a decade of calls for data sharing, the culture of medicine changes …

Data-sharing models

Researchers have commonly built on the discoveries of others. In this model, the concept that is deduced from the data is the key new message. Bertagnolli et al. (March 23 issue)1 describe approaches to reuse data for alternative discoveries, but …