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Terminology for neuroscience data discovery: multi-tree syntax and investigator-derived semantics.

Neuroinformatics | 2008

The Neuroscience Information Framework (NIF), developed for the NIH Blueprint for Neuroscience Research and available at http://nif.nih.gov and http://neurogateway.org , is built upon a set of coordinated terminology components enabling data and web-resource description and selection. Core NIF terminologies use a straightforward syntax designed for ease of use and for navigation by familiar web interfaces, and readily exportable to aid development of relational-model databases for neuroscience data sharing. Datasets, data analysis tools, web resources, and other entities are characterized by multiple descriptors, each addressing core concepts, including data type, acquisition technique, neuroanatomy, and cell class. Terms for each concept are organized in a tree structure, providing is-a and has-a relations. Broad general terms near each root span the category or concept and spawn more detailed entries for specificity. Related but distinct concepts (e.g., brain area and depth) are specified by separate trees, for easier navigation than would be required by graph representation. Semantics enabling NIF data discovery were selected at one or more workshops by investigators expert in particular systems (vision, olfaction, behavioral neuroscience, neurodevelopment), brain areas (cerebellum, thalamus, hippocampus), preparations (molluscs, fly), diseases (neurodegenerative disease), or techniques (microscopy, computation and modeling, neurogenetics). Workshop-derived integrated term lists are available Open Source at http://brainml.org ; a complete list of participants is at http://brainml.org/workshops.

Pubmed ID: 18958630 RIS Download

Research resources used in this publication

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Antibodies used in this publication

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Associated grants

  • Agency: PHS HHS, United States
    Id: HHSN271200577531C
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS011862
  • Agency: NINDS NIH HHS, United States
    Id: R56 NS011862-27A1
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH068012
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH068012-04
  • Agency: NIDA NIH HHS, United States
    Id: HHSN271200577531C
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH057153-13
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS044820
  • Agency: NINDS NIH HHS, United States
    Id: R01 NS044820-04
  • Agency: NIMH NIH HHS, United States
    Id: MH68012
  • Agency: NINDS NIH HHS, United States
    Id: R56 NS011862
  • Agency: NIMHD NIH HHS, United States
    Id: 263-MD-409125-1
  • Agency: NIMH NIH HHS, United States
    Id: R01 MH057153
  • Agency: NINDS NIH HHS, United States
    Id: NS44820
  • Agency: NIMH NIH HHS, United States
    Id: MH57153

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This is a list of tools and resources that we have found mentioned in this publication.


Neuroscience Information Framework (tool)

RRID:SCR_002894

Framework for identifying, locating, relating, accessing, integrating, and analyzing information from neuroscience research. Users can search for and add neuroscience-related resources at NIF portal and receive and RRID to track and cite resources within scientific manuscripts.

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fMRI Data Center (tool)

RRID:SCR_007278

THIS RESOURCE IS NO LONGER IN SERVICE, documented August 25, 2013 Public curated repository of peer reviewed fMRI studies and their underlying data. This Web-accessible database has data mining capabilities and the means to deliver requested data to the user (via Web, CD, or digital tape). Datasets available: 107 NOTE: The fMRIDC is down temporarily while it moves to a new home at UCLA. Check back again in late Jan 2013! The goal of the Center is to help speed the progress and the understanding of cognitive processes and the neural substrates that underlie them by: * Providing a publicly accessible repository of peer-reviewed fMRI studies. * Providing all data necessary to interpret, analyze, and replicate these fMRI studies. * Provide training for both the academic and professional communities. The Center will accept data from those researchers who are publishing fMRI imaging articles in peer-reviewed journals. The goal is to serve the entire fMRI community.

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