A5036368610- Functional Brain Connectivity Studies
- Health, Environment, Cognitive Aging
- Scientific Computing and Data Management
- Advanced MRI Techniques and Applications
- Cell Image Analysis Techniques
- Context-Aware Activity Recognition Systems
- Time Series Analysis and Forecasting
- Biomedical Text Mining and Ontologies
Stanford University
2024
Dartmouth College
2024
HealthMedia (United States)
2021
The sharing of research data is essential to ensure reproducibility and maximize the impact public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative archive that provides ability openly share from broad range brain imaging types following FAIR principles for sharing. We highlight importance Brain Imaging Data Structure standard enabling effective curation, sharing, reuse data. presently shares more than 600 datasets including 20,000 participants, comprising...
We present an extension to the Brain Imaging Data Structure (BIDS) for motion data. Motion data is frequently recorded alongside human brain imaging and electrophysiological The goal of Motion-BIDS make interoperable across different laboratories with other modalities in behavioral research. To this end, standardizes format metadata structure. It describes how document experimental details, considering diversity hardware software systems This promotes findable, accessible, interoperable,...
Abstract The sharing of research data is essential to ensure reproducibility and maximize the impact public investments in scientific research. Here we describe OpenNeuro, a BRAIN Initiative archive that provides ability openly share from broad range brain imaging types following FAIR principles for sharing. We highlight importance Brain Imaging Data Structure (BIDS) standard enabling effective curation, sharing, reuse data. presently shares more than 600 datasets including 20,000...