Event Abstract Back to Event The BrainLiner Platform for Sharing, Searching, and Previewing Time-Aligned Neurophysiological Data Makoto Takemiya1*, Mitsuaki Tsukamoto1 and Yukiyasu Kamitani1 1 ATR, Computational Neuroscience Laboratories, Japan Performing experiments and recording neurophysiological data requires substantial resources. At the same time, data-driven science requires large amounts of data in order to build statistical models and study the relationships between tasks and complex brain activity patterns. Thus to maximize returns on invested resources and to conduct meaningful research, it is important for scientists not only to publish descriptions about their research, but also to share the data used in such publications. BrainLiner.jp was launched as part of the Japanese Strategic Research Program for Brain Science (SRPBS) to share time-aligned neurophysiological and stimulus data. Using our portal, scientists from all over the world can freely share data that is time-aligned to behavioral information, in a standardized file format. We allow users to upload data as Neuroshare or matlab files in a standardized format. We then convert uploaded matlab files into Neuroshare (.nsn) files and uploaded Neuroshare files into matlab files automatically when a user uploads a data file. BrainLiner.jp has supported text-based search of project descriptions and documents since the first release. However, we recently added a data-driven similarity search feature to search for data that are similar to input data. Users can select interesting data patterns and then, using our data search, can find similar data that share a similar pattern. Our data-drive search is implemented as a web service that is accessible programmatically, allowing developers with API access to incorporate our data similarity search into their analyses. We recently re-implemented our data previewer in HTML5, to allow people without Flash to preview data. As with the data-driven search, the HTML5 viewer is implemented as a modular web service, which is hoped to be extensible in the future. Finally, to ease data sharing and use, we completely redesigned and reimplemented our web portal with a simpler and more responsive interface. Figure 1 Acknowledgements This work was supported by SRPBS, MEXT, Japan. Keywords: web portal, data sharing, data search, web platform, data preview Conference: Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, 2013. Presentation Type: Demo Topic: Infrastructural and portal services Citation: Takemiya M, Tsukamoto M and Kamitani Y (2013). The BrainLiner Platform for Sharing, Searching, and Previewing Time-Aligned Neurophysiological Data. Front. Neuroinform. Conference Abstract: Neuroinformatics 2013. doi: 10.3389/conf.fninf.2013.09.00110 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 08 Apr 2013; Published Online: 11 Jul 2013. * Correspondence: Mr. Makoto Takemiya, ATR, Computational Neuroscience Laboratories, Souraku-gun, Kyoto, 619-0288, Japan, mtakemiya@gmail.com Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Makoto Takemiya Mitsuaki Tsukamoto Yukiyasu Kamitani Google Makoto Takemiya Mitsuaki Tsukamoto Yukiyasu Kamitani Google Scholar Makoto Takemiya Mitsuaki Tsukamoto Yukiyasu Kamitani PubMed Makoto Takemiya Mitsuaki Tsukamoto Yukiyasu Kamitani Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.