A founder of the field of synthetic biology is selling data from his own DNA as a nonfungible token, or NFT, through Nebula Genomics, a personal genome company he cofounded.

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Last month, 10 UK universities became part of the UK Reproducibility Network, joining researchers, funders, journal publishers, and regulatory agencies.

He led the National Library of Medicine for 31 years and oversaw the implementation of PubMed, MedlinePlus, and the National Center for Biotechnology Information.

New rules, which require international scientists to have a Chinese collaborator, go into effect July 1.

Agronomic sciences should follow the lead of genetics and other disciplines in sharing data.

Computational biologist Jinghui Zhang of St. Jude realized scientists could work more efficiently with tools and genomic data shared on the cloud.

The protein expression data, which are freely available online, could help identify new drug targets for the disease.

Scientists are working to maximize the benefits and minimize the costs of sharing.

YODA, a program facilitated by Yale University researchers, has successfully distributed clinical trial records from Johnson & Johnson and Medtronic to external researchers since 2013.

The Stanford University researcher discusses a new study on measures such as data sharing and funding disclosures.

Nebula Genomics is among the first blockchain-based companies to reward users for contributing personal data for research.

EncrypGen will enable individuals to sell their deidentified data for research.

Americans and Australians aren’t far behind, according to a questionnaire of researchers.

Our analysis of a collection of open-access datasets quantifies their benefit to the scientific community.

Computational scientists develop a system for spotting data overdue for public release, and end up getting hundreds of open-access datasets corrected.

The publicly available database found nearly a third of samples included mutations targeted by either approved drugs or therapies in clinical trials.