Empirical observations of how labs conduct research indicate that the adoption rate of open
practices for transparent, reproducible, and collaborative science remains in its infancy. This …

Recent years have marked a renaissance in efforts to increase research reproducibility in
psychology, neuroscience, and related fields. Reproducibility is the cornerstone of a solid …

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 …

A wealth of analysis tools are available to fMRI researchers in order to extract patterns of
task variation and, ultimately, understand cognitive function. However, this “methodological …

Neuroscience is advancing standardization and tool development to support rigor and
transparency. Consequently, data pipeline complexity has increased, hindering FAIR …

This review compares the main brain abnormalities in schizophrenia (SZ), bipolar disorder
(BD), major depressive disorder (MDD), and 22q11. 2 Deletion Syndrome (22q11DS) …

The importance of integrating research findings is incontrovertible and procedures for
coordinate-based meta-analysis (CBMA) such as Activation Likelihood Estimation (ALE) …

Large, open datasets have emerged as important resources in the field of human
connectomics. In this review, the evolution of data sharing involving magnetic resonance …

The preprocessing pipelines of the Human Connectome Project (HCP) were made publicly
available for the neuroimaging community to apply the HCP analytic approach to data from …

Background Metadata are created to describe the corresponding data in a detailed and
unambiguous way and is used for various applications in different research areas, for …