International Neuroinformatics Coordinating Facility information

This article includes a list of general references, but it lacks sufficient corresponding inline citations. Please help to improve this article by introducing more precise citations. (September 2017) (Learn how and when to remove this message)

International Neuroinformatics Coordinating Facility

Abbreviation	INCF
Formation	2005; 19 years ago (2005)[1]
Headquarters	INCF Secretariat
Location	Karolinska Institutet, Stockholm, Sweden[2]
Coordinates	59°20′54.46″N 18°1′25.78″E / 59.3484611°N 18.0238278°E / 59.3484611; 18.0238278
Governing Board Chair	Maryann Martone[2]
Website	incf.org

The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization with the mission^[3] to develop, evaluate, and endorse standards and best practices that embrace the principles of Open, FAIR,^[4] and Citable neuroscience. INCF also provides training on how standards and best practices facilitate reproducibility and enables the publishing of the entirety of research output, including data and code. INCF was established in 2005 by recommendations of the Global Science Forum working group of the OECD.^[5] The INCF is hosted by the Karolinska Institutet in Stockholm, Sweden.^[6] The INCF network comprises institutions, organizations, companies, and individuals active in neuroinformatics, neuroscience, data science, technology, and science policy and publishing. The Network is organized in governing bodies and working groups which coordinate various categories of global neuroinformatics activities that guide and oversee the development and endorsement of standards and best practices, as well as provide training on how standards and best practices facilitate reproducibility and enables the publishing of the entirety of research output, including data and code.^[7] The current Directors are Mathew Abrams and Helena Ledmyr,^[8] and the Governing Board Chair is Maryann Martone

The INCF network aims^[9] to promote the application of computational approaches to understanding the brain and to develop the infrastructure required to use computational methods to integrate and analyze diverse data across scales, techniques, and species to understand the brain and positively impact the health and well-being of society.