The importance of effective research data management (RDM) strategies to support the
generation of Findable, Accessible, Interoperable, and Reusable (FAIR) neuroscience data …

Effective data management and sharing have become increasingly crucial in biomedical
research; however, many laboratory researchers lack the necessary tools and knowledge to …

Abstract We present the Canadian Open Neuroscience Platform (CONP) portal to answer
the research community's need for flexible data sharing resources and provide advanced …

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 …

Brain scientists are now capable of collecting more data in a single experiment than
researchers a generation ago might have collected over an entire career. Indeed, the brain …

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

Structured, efficient, and secure storage of experimental data and associated meta-
information constitutes one of the most pressing technical challenges in modern …

Neuroimaging has been facing a data deluge characterized by the exponential growth of
both raw and processed data. As a result, mining the massive quantities of digital data …

Highlights•New recording technologies generating massive, complex data sets.•Analysis
workflows are complex, diverse, and fundamentally exploratory.•Rich open-source …

The Canadian Open Neuroscience Platform (CONP) takes a multifaceted approach to
enabling open neuroscience, aiming to make research, data, and tools accessible to …