The Neuroscience Information Framework (NIF): A Unified Semantic Framework and Associated Tools for Discovery, Integration, and Utilization of Biomedical Data and Resources on the Web
Jeffrey Grethe (University of California, San Diego), Anita Bandrowski (University of California, San Diego), Jonathan Cachat (University of California, San Diego), Amarnath Gupta (University of California, San Diego), Fahim Imam (University of California, San Diego), Stephen Larson (University of California, San Diego), Luis Marenco (Yale University), Perry Miller (Yale University), Gordon Shepherd (Yale University), Maryann Martone (University of California, San Diego), NIF Consortium (University of California, San Diego)
Over the past year, NIF has continued to grow significantly in content, providing access to over 4800 resources through the Registry, and more than 150 independent databases in the data federation, making NIF the largest source of neuroscience information on the web. NIF’s tools help people find and utilize neuroscience related resources - provides a consistent and easy to implement framework for those who are providing such resources, e.g., data, and those looking to utilize these data and resources. In this demonstration we will provide a tour of NIF’s suite of services, tools, and data:
*Search through NIF’s semantically-enhanced discovery portal
*Services and tools that provide access to the NIF data federation - the largest collection of Neuroscience relevant information on the web
*Contributing to the NeuroLex – a community resource for neuroscience terminology built on a semantic media-wiki platform
*Curation and normalization of data utilizing NIF’s Google Refine services
*NIF’s semantically enhanced linked data and tools for its maintenance
*myNIF and the NIF Digest – personalized services for researchers