While the importance of constructing large scale database on brain science and of the brain science research utilizing them is pointed out, they are practically quite undeveloped fields, and few researchers are involved. To promote research in this field and foster researchers involved in the research, RIKEN CBS has set up a collaboration research system to develop database related technologies in the field of brain science with researchers in a wide range of fields. In 2019FY, each successful application will be provided with a support of up to 2.5 million yen, and up to 8 cases will be supported. The application guidelines are available at the following web site. We hope to receive many applications. The deadline for applications is May 6, 2019.
- Guidelines in English, https://cbs.riken.jp/en/news/2019/01/
- Guidelines in Japanese, https://cbs.riken.jp/jp/news/2019/01/
cbs_db_appli[at]ml.riken.jp (Please replace “[at]” with “@”)
Application for Collaboration Research for Brain Science Database Technology Development, Office of the Center Director, RIKEN Center for Brain Science
An article "ViBrism DB: an interactive search and viewer platform for 2D/3D anatomical images of gene expression and co-expression networks" was published on Oct. 29, 2018 at Nucleic Acids Research <https://doi.org/10.1093/nar/gky951>. This article describes the achievement of INCF Japan Node Platform, ViBrism (Chaired by Yuko Okamura-Oho, Jissen Woman University, RIKEN and NPO BReNT-). It was selected as NAR Breakthrough Article.
INCF’s first Standards and Best Practice (SBP)’s program, BIDS (Brain Imaging Data Structure-a standard for organizing and describing MRI data sets)
https://f1000research.com/documents/7-1368, is ready for public comment. It is now posted to F1000 (doi: 10.7490/f1000research.1115998.1).
INCF Japan Node (J-Node) OpenNeuro Repository is a new database of INCF Japan-Node. J-Node OpenNeuro Repository archives a variety types of supplemental materials that support your neuroscientific studies that have been published in peer-reviewed academic journals and/or conference proceedings. The repository aims at ensuring transparency and accelerating neuroscience researches. Examples of such materials include experimental (raw) data, including electrophysiological data, imaging data, and genomic data, that have been analyzed in your articles, and/or computer program codes used for your data analysis or numerical simulations for computational neuroscience. PPT-like presentation documents that illustrates outcomes/finding of your studies in your published articles would also be such materials that we try to archive in this repository. A simple workflow to register your materials/contents is provided by the repository. We welcome a new registration from you.
A colleague of Dr. Kanzaki, the chairperson of CNS-PF won the 32nd Advanced Technology Award “The Prize of the Minister of Education, Culture, Sports, Science and Technology”. Please see the following message from Dr. Kanzaki.