Sharing metadata, individual participant data and summary data, as a complement to results
dissemination and trial registration requirements, is perceived to be advantageous by …

Scientists and clinicians are starting to translate genomic discoveries from research labs to
the clinical setting. In the process, big data genomic technologies are both a risk to …

The increased demand for transparency and disclosure of data from clinical trials sponsored
by pharmaceutical companies poses considerable challenges and opportunities from a …

The drug discovery community faces high costs in bringing safe and effective medicines to
market, in part due to the rising volume and complexity of data which must be generated …

Objective This article describes a scalable, performant, sustainable global network of
electronic health record data for biomedical and clinical research. Materials and Methods …

On November 18 and 19, 2019, the National Academies of Sciences, Engineering, and
Medicine hosted a public workshop in Washington, DC, titled Sharing Clinical Trial Data …

While interest in the application of machine learning to improve healthcare has grown
tremendously in recent years, a number of barriers prevent deployment in medical practice …

Biological data (biodata) has become a buzzword for innovations in this century. With
pioneering advances in machine learning techniques and artificial intelligence, biological …

Numerous arguments have been advanced for broadly sharing de-identified, participant-
level clinical trials data, and trial sponsors and journals are increasingly requiring it …

The ethical conduct of research includes, in part, patient agreement to participate in studies
and the protection of health information. In the evolving world of data science and the …