In 2000, the Working Group on Neuroinformatics (WG-NI) was approved by the Organisation for Economic Cooperation and Development (OECD), Global Science Forum(GSF ) to set up the organization cross the different countries in 2000. Dr. Stephen H Koslow, who works in the Neuroinformatics Office, National Institute of Health (NIH), chaired the Working Group on Neuroinformatics. 21 members and observers including USA , UK , France , Japan , China , etc formed the Working Group. The goal of neuroinformatics is to establish a global Knowledge System (KM) and Internet Research Environment in which includes all the data and results related to nervous system. As a result its resources will be helpful for government decision in public health, scientific research, medical education, pharmacy industries.

        Over the course of the two years OECD-GSF-NI group existed, the three principal aims of neuroinformatics are: (1). Integration of data resources and establishment of database ； ( 2). Data Sharing for OECD members and observers ； ( 3) Development of NI working guidelines and rules ； ( 4) International NI Networks and Internet Research Environment

        The human brain is by far the most complex system known, and understanding it is a crucial scientific challenge for the 21st century. Neuroscientists, having developed sophisticated methods to investigate the brain in the finest possible detail, now face the challenge of managing the enormous amounts of raw data and the many useful inferences drawn from them. So data sharing in NI field was strongly suggested. The emphasis of NI is to integrate the resources related to nervous system internationally, and to be headed by leading scientists and research institutions in the world as well as to initiate global collaboration through NI networks and research environment. Until now NI research has been received thousands of millions of US dollars and Euros in USA and European countries in order to establish the different individual database and platform and make a full preparation for data sharing in the future.

        China government pays more attention to Human Brain Project (HBP) and Neuroinformatics . Xiang Shan Science Conference for HBP and NI supported by the Chinese government was held in September 2001. Government representatives participated from the National Science Foundation of China (NSFC) and the Ministry of Science and Technology (MOST). Dr. Stephen H. Koslow, the associate director of NIMH, director of NI Office in NIH, the Chairman of OECD-GSF-WG-NI, was invited to visit China and gave presentation on the HBP and NI development. All the conference participants agreed that China should start the Chinese characteristic NI Project as soon as possible. Since 2001 ， China government awarded several grants in NI field including two 973 Pre-Projects, three NSFC Projects and one International Cooperation Project, in which covered Traditional Chinese Medicine, Chinese cognition, olfaction and mental disorders, etc. Right now NI platform and electric network is on working according to the OECD-GSF-WG-NI standards.

        In 2003, the OECD-GSF-WG-NI submitted at the request of the establishment of an international coordinating mechanism, the International Neuroinformatics Coordinating Facility (INCF), that would promote the accumulation, integration, standardization, exploitation and sharing of very large amounts of data that are being generated worldwide by researchers who study the brain. In Jan. 2004, the OECD ministerial level meeting was held in Paris and Chinese vice minister-Liu Yanhua presented and announced firstly that NI would be the priority project for international cooperation.

        In April 2004 ， 1 st INCF meeting was held in Paris, OECD Central Headquarter for exploring the INCF secretariat and substantive activities as well as a new proposed funding scheme (Program in International Neuroinformatics, PIN) that will promote international collaboration among researchers whose work will be funded by existing (or possibly new) national programs. This scheme should eliminate national and disciplinary barriers and provide a most efficient approach to global collaborative research and data sharing.