Data repositories

Do you have datasets that you would like to share publicly but don't know where to store them?

Projects in the INCF Community


INCF participates in the large European CENTER-TBI project “Collaborative European NeuroTrauma Effectiveness Research in TBI” that aims to improve the care for patients with TBI and identify the most effective clinical interventions for managing TBI.


From “DataLad aims to provide access to scientific data available from various sources (e.g. lab or consortium web-sites such as Human connectome; data sharing portals such as NITRC, OpenFMRI and CRCNS) through a single convenient interface and integrated with your software package managers (such as APT in Debian). Although initially targeting neuroimaging and neuroscience data in general, it will not be limited by the domain and we would welcome a wide range of contributions.”


The G-Node Data Infrastructure (GIN) services provide a platform for comprehensive and reproducible management of scientific data. Building on well established versioning technology, GIN offers the power of a web based repository management service (inspired by GitHub) combined with a distributed file storage open to established cloud-based services. The service addresses the range of data workflows starting from your analysis scripts on the local workstation to remote collaboration and data publication.


NeuroVault is a place where researchers can publicly store and share unthresholded statistical maps, parcellations, and atlases produced by MRI and PET studies.

NITRC Image Repository

From “NITRC Image Repository (NITRC-IR) does for data what NITRC-R does for tools. Search for and freely download publicly available data sets including thousands of DICOM and NIFTI normal subjects and those with diagnoses such as: schizophrenia, ADHD, autism, and Parkinson's.”


KnowledgeSpace is a community encyclopedia that links brain research concepts with data, models, and literature from around the world. It is an open project and welcomes participation and contributions from members of the global research community.


The INCF TrainingSpace is an online repository linking neuroinformatics training resources developed both by INCF, our partners, and existing community resources.


Public domain-specific and general data repositories


This list is a sub-list of Scientific Data's recommended data repositories

ArrayExpress Functional genomics
Biological General Repository for Interaction Datasets *  Functional genomics
Database of Interacting Proteins (DIP) Functional genomics
dbGAP  Functional genomics
Gene Expression Omnibus (GEO) Functional genomics
GenomeRNAi Functional genomics
IntAct  Functional genomics
Japanese Genotype-phenotype Archive (JGA) Functional genomics
NCBI PubChem BioAssay Functional genomics
The European Genome-phenome Archive (EGA) Functional genomics
Dryad Digital Repository Generalist repositories
figshare Generalist repositories
Harvard Dataverse Generalist repositories
Open Science Framework Generalist repositories
Zenodo Generalist repositories
BioModels Database Mathematical & modelling resources
Kinetic Models of Biological Systems (KiMoSys) Mathematical & modelling resources
Functional Connectomes Project International Neuroscience
G-Node Neuroscience
Neuroimaging Data-Sharing Initiative (FCP/INDI) Neuroscience Neuroscience
OpenfMRI Neuroscience
FlyBase Organism-focused resources
Influenza Research Database Organism-focused resources
Mouse Genome Informatics (MGI) Organism-focused resources
Rat Genome Database (RGD) Organism-focused resources
VectorBase Organism-focused resources
Xenbase Organism-focused resources
Zebrafish Model Organism Database (ZFIN) Organism-focused resources
Global Biodiversity Information Facility (GBIF) Taxonomy & species diversity
Integrated Taxonomic Information System (ITIS) Taxonomy & species diversity
KNB: The Knowledge Network for Biocomplexity Taxonomy & species diversity Taxonomy & species diversity
NCBI Taxonomy * Taxonomy & species diversity

*Curated resource which may not accept direct submission of data. Contact the database directly for further information.