Background Ethics review is the process of assessing the ethics of research involving
humans. The Ethics Review Committee (ERC) is the key oversight mechanism designated to …

It is widely acknowledged that trust plays an important role for the acceptability of data
sharing practices in research and healthcare, and for the adoption of new health …

Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven
science and machine-learning technologies, in particular, are contributing to a variety of …

Background Public trust is central to the collection of genomic and health data and the
sustainability of genomic research. To merit trust, those involved in collecting and sharing …

This paper focuses on the opportunities and the ethical and societal risks posed by
advanced AI assistants. We define advanced AI assistants as artificial agents with natural …

Background The use of government health data for secondary purposes, such as monitoring
the quality of hospital services, researching the health needs of populations, and testing how …

In the big data era, vast volumes of data are generated daily as the foundation of data-driven
scientific discovery. Thanks to the recent open data movement, much of these data are being …

Developments in medical big data analytics may bring societal benefits but are also
challenging privacy and other ethical values. At the same time, an overly restrictive data …

Data platforms represent a new paradigm for carrying out health research. In the platform
model, datasets are pooled for remote access and analysis, so novel insights for developing …

New models of data governance for health data are a focus of growing interest in an era of
challenge to the social licence. In this article, we reflect on what the data trust model, which …