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• W2498099317 abstract "Event Abstract Back to Event SciCrunch: A Cooperative And Collaborative Data, Information, And Resource Discovery Portal For Scientific Communities Jeffrey S. Grethe1*, Anita Bandrowski1, Michael Chiu1, Tom Gillespie1, James Go1, Yueling Li1, Ibrahim B. Ozyurt1 and Maryann E. Martone1 1 University of California, San Diego, Center for Research in Biological Systems, School of Medicine, United States SciCrunch was designed to allow communities of researchers create their own focused portals that provide access to resources, information, databases and tools of relevance to their research areas. A data portal that searches across hundreds of databases and information resources can be created in minutes. Communities can choose from our existing SciCrunch data sources and also add their own. SciCrunch was designed to break down the traditional types of portal silos created by different communities, so that communities can take advantage of work done by others and share their expertise as well. When a community brings in a data source, it becomes available to other communities, thus ensuring that valuable resources are shared by other communities who might need them. At the same time, individual communities can customize the way that these resources are presented to their constituents, to ensure that their user base is served. To ensure proper credit and to help share expertise, all resources are tagged by the communities that create them and those that access them. Exploring Information and Data: SciCrunch is one of the largest aggregations of scientific data and tools available on the Web. One can think of SciCrunch as a “PubMed” for tools and data. Just as you can search across all the biomedical literature through PubMed, regardless of journal, SciCrunch lets you search across hundreds of databases and information resources and millions of data records from a single interface. SciCrunch enhances search with semantic technologies to ensure we bring you all the results. SciCrunch provides three primary searchable collections: the SciCrunch Registry and the SciCrunch Data Federation. * SciCrunch Registry – is a curated catalog of thousands of research resources (data, tools, materials, services, organizations, core facilities), focusing on freely-accessible resources available to the scientific community. Each research resource is categorized by resource type and given a unique identifier. SciCrunch also provides information on resource mentions in the literature and provides alerts when new publications mention a resource. * SciCrunch Data Federation – a data discovery index that provides deep query across the contents of databases created and maintained by independent individuals and organizations. Each database is aligned to the SciCrunch semantic framework, to allow users to browse the contents of these databases quickly and efficiently. Users are then taken to the source database for further exploration. SciCrunch deploys a unique data ingestion platform that makes it easy for database providers to make their resources available to SciCrunch. Using this technology, SciCrunch currently makes available more than 200 independent databases, comprising hundreds of millions of data records. To keep up to date on specific searches or resources, SciCrunch provides alerting services when new information or data is found. * SciCrunch Literature – provides a searchable index across literature via PubMed, full text articles from the Open Access literature, and other literature archives. SciCrunch Communities: SciCrunch currently supports a diverse collection of communities, each with their own data needs: * Neuroscience Information Framework (NIF) – is a biological search engine that allows students, educators, and researchers to navigate the Big Data landscape by searching the contents of data resources relevant to neuroscience - providing a platform that can be used to pull together information about the nervous system. Underlying the NIF system is the Neurolex knowledge base. Neurolex seeks to define the major concepts of neuroscience, e.g., brain regions, cell types, in a way that is understandable to a machine. * NIDDK Information Network (dkNET) – serves the needs of basic and clinical investigators by providing seamless access to large pools of data relevant to the mission of The National Institute of Diabetes, Digestive and Kidney Disease (NIDDK). The portal contains information about research resources such as antibodies, vectors and mouse strains, data, protocols, and literature. * Research Resource Identification Initiative (RII) – aims to promote research resource identification, discovery, and reuse. The RII portal offers a central location for obtaining and exploring Research Resource Identifiers (RRIDs) - persistent and unique identifiers for referencing a research resource. A critical goal of the RII is the widespread adoption of RRIDs to cite resources in the biomedical literature. RRIDs use established community identifiers where they exist, and are cross-referenced in our system where more than one identifier exists for a single resource. * Drug Design Data Resource (D3R) – aims to advance the technology of computer-aided drug discovery through the interchange of high quality protein-ligand datasets and workflows, and by holding community-wide, blinded prediction challenges. Figure 1 Acknowledgements The Neuroscience Information Framework is funded in part by the NIH Neuroscience Blueprint U24DA039832 via NIDA The NIDDK Information Network (dkNET) is funded in part by the NIDDK under grant U24DK097771 The Drug Design Data Resource (D3R) is funded in part by the NIGMS under grant U01GM111528 Keywords: semantic search, Research Resource Identifiers, Data Federation, ontology, data discovery index, community web portal, dkNET, NIf Conference: Neuroinformatics 2016, Reading, United Kingdom, 3 Sep - 4 Sep, 2016. Presentation Type: Demo Topic: Infrastructural and portal services Citation: Grethe JS, Bandrowski A, Chiu M, Gillespie T, Go J, Li Y, Ozyurt IB and Martone ME (2016). SciCrunch: A Cooperative And Collaborative Data, Information, And Resource Discovery Portal For Scientific Communities. Front. Neuroinform. Conference Abstract: Neuroinformatics 2016. doi: 10.3389/conf.fninf.2016.20.00063 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: 01 May 2016; Published Online: 18 Jul 2016. * Correspondence: Dr. Jeffrey S Grethe, University of California, San Diego, Center for Research in Biological Systems, School of Medicine, La Jolla, CA, 92093-0608, United States, jgrethe@ucsd.edu 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 Jeffrey S Grethe Anita Bandrowski Michael Chiu Tom Gillespie James Go Yueling Li Ibrahim B Ozyurt Maryann E Martone Google Jeffrey S Grethe Anita Bandrowski Michael Chiu Tom Gillespie James Go Yueling Li Ibrahim B Ozyurt Maryann E Martone Google Scholar Jeffrey S Grethe Anita Bandrowski Michael Chiu Tom Gillespie James Go Yueling Li Ibrahim B Ozyurt Maryann E Martone PubMed Jeffrey S Grethe Anita Bandrowski Michael Chiu Tom Gillespie James Go Yueling Li Ibrahim B Ozyurt Maryann E Martone 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." @default.
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• W2498099317 title "SciCrunch: A Cooperative And Collaborative Data, Information, And Resource Discovery Portal For Scientific Communities" @default.
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