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International Neuroinformatics Coordinating Facility (INCF)
Hosting Legal Entity
Karolinska Institute
Nobels väg 15 A, Stockholm, PO: 171 77, Stockholms län (Sweden)
Type Of RI
Single-sited, Virtual
Coordinating Country
Participating Countries
United Kingdom
Current Status:
Operational since 2005
Scientific Description
The International Neuroinformatics Coordinating Facility (INCF) was established through the Global Science Forum of the OECD in 2005 to develop a collaborative neuroinformatics infrastructure and promote the sharing of data and computing resources to the international research community. The INCF opened its secretariat in Stockholm in 2006 and now has 16 member countries (Belgium, the Czech Republic, Finland, France, Germany, India, Italy, Japan, Netherlands, Norway, Poland, Republic of Korea, Sweden, Switzerland, the United Kingdom and the United States). There are currently Programs in Digital Atlasing, Ontologies of Neural Structures, Multiscale Modeling and Datasharing, which are providing important building blocks for community data standardization and sharing. In addition, INCF is leading the development of a neuroinformatics infrastructure for clinical and neuroscientific data sharing, archiving, publishing, analysis, visualization, modeling and simulation - using grid, cloud and supercomputing infrastructures.

RI Keywords
Data sharing, Neuroimaging, Modelling, Atlasing, Neuroinformatics, Ontology, Electrophysiology
RI Category
Bio-informatics Facilities
Scientific Domain
Biological and Medical Sciences
Information Science and Technology
ESFRI Domain
Health and Food

An annual two-day short course in neuroinformatics, held in conjunction with the Neuroinformatics Congress.The course provides an overview of a wide range of topics by leading experts in the field.

Scalable Brain Atlas (SBA)

A web-based display engine for brain atlases, imaging data, and topologies. SBA allows client websites to show brain region related data in 3D interactive contexts and provides services to look-up brain regions, generate thumbnails, download nomenclature, and delineate data. A variety of services are being developed around the templates contained in the Scalable Brain Atlas. For example, you can include thumbnails of brain regions in your own webpage.

Waxholm Space (WHS)

A coordinate-based reference space that is intended to encourage interoperability between existing and future mouse data resources.

Neurolex Wiki

A dynamic lexicon of terms used in Neuroscience (a joint project of INCF and the Neuroscience Information Framework). is a freely editable semantic wiki for community-based curation, and the neuroscience community is invited to contribute to the Neurolex Wiki.

INCF Dataspace

The purpose of the INCF Dataspace is to enable collaboration between researchers through the sharing of neuroscience data, text, images, sounds, movies, models and simulations. Features include: Access diverse data repositories from around the world through a single resource, Browse and access data using different user interfaces (Web, File Navigator, Command line), Upload and download data worldwide, Set/get arbitrary metadata for files and folders, Search metadata, Manage large data, Keep directories synchronized, Create temporary public or private links to share data.

Connection-Set Algebra (CSA)

A general formalism for the description of connectivity in neuronal network models. CSA allows NEST and NineML-based implementations to setup connectivity. A Python version publicly available from the INCF software center, and C++ implementation in progress.

Multi-Simulation Coordinator (MUSIC)

A software that allows large-scale neuron simulators to communicate during runtime. MUSIC allows exchange of data among parallel applications in a cluster environment, interconnects large-scale neuronal network simulators with each other or with other tools, and participates in multi-simulations. Three simulators currently have MUSIC interfaces: Moose, NEURON and NEST.


Network Interchange format for Neuroscience (NineML) is a markup language for model description. This language is based on a layered approach: anabstraction layer allows a full mathematical description of the models, including events and state transitions, while the user layer contains parameter values for specific models.

Computational Neuroscience Ontology (CNO)

Provides standard semantic annotation for computational models.

Date of last update: 18/01/2018
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