Significant resources around the world have been invested in neuroimaging studies of brain
function and disease. Easier access to this large body of work should have profound impact …

Data sharing efforts increasingly contribute to the acceleration of scientific discovery.
Neuroimaging data is accumulating in distributed domain-specific databases and there is …

The reproducibility of scientific research has become a point of critical concern. We argue
that openness and transparency are critical for reproducibility, and we outline an ecosystem …

The neuroimaging community has been increasingly called up to openly share data.
Although data sharing has been a cornerstone of large-scale data consortia, the incentive …

Collaborative networks and data sharing initiatives are broadening the opportunities for the
advancement of science. These initiatives offer greater transparency in science, with the …

The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …

Data sharing is increasingly recommended as a means of accelerating science by
facilitating collaboration, transparency, and reproducibility. While few oppose data sharing …

Neuroimaging data collection is inherently expensive. Maximizing the return on investment
in neuroimaging studies requires that neuroimaging data be re-used whenever possible. In …

The availability of well-characterized neuroimaging data with large numbers of subjects,
especially for clinical populations, is critical to advancing our understanding of the healthy …

Abstract The Extensible Neuroimaging Archive Toolkit (XNAT) is a software platform
designed to facilitate common management and productivity tasks for neuroimaging and …