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The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web

The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web This paper describes the capabilities of DISCO, an extensible approach that supports integrative Web-based information dissemination. DISCO is a component of the Neuroscience Information Framework (NIF), an NIH Neuroscience Blueprint initiative that facilitates integrated access to diverse neuroscience resources via the Internet. DISCO facilitates the automated maintenance of several distinct capabilities using a collection of files 1) that are maintained locally by the developers of participating neuroscience resources and 2) that are “harvested” on a regular basis by a central DISCO server. This approach allows central NIF capabilities to be updated as each resource’s content changes over time. DISCO currently supports the following capabilities: 1) resource descriptions, 2) “LinkOut” to a resource’s data items from NCBI Entrez resources such as PubMed, 3) Web-based interoperation with a resource, 4) sharing a resource’s lexicon and ontology, 5) sharing a resource’s database schema, and 6) participation by the resource in neuroscience-related RSS news dissemination. The developers of a resource are free to choose which DISCO capabilities their resource will participate in. Although DISCO is used by NIF to facilitate neuroscience data integration, its capabilities have general applicability to other areas of research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web

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Publisher
Springer Journals
Copyright
Copyright © 2010 by Springer Science+Business Media, LLC
Subject
Biomedicine; Computational Biology/Bioinformatics; Biotechnology; Neurology ; Computer Appl. in Life Sciences ; Neurosciences
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1007/s12021-010-9068-8
pmid
20387131
Publisher site
See Article on Publisher Site

Abstract

This paper describes the capabilities of DISCO, an extensible approach that supports integrative Web-based information dissemination. DISCO is a component of the Neuroscience Information Framework (NIF), an NIH Neuroscience Blueprint initiative that facilitates integrated access to diverse neuroscience resources via the Internet. DISCO facilitates the automated maintenance of several distinct capabilities using a collection of files 1) that are maintained locally by the developers of participating neuroscience resources and 2) that are “harvested” on a regular basis by a central DISCO server. This approach allows central NIF capabilities to be updated as each resource’s content changes over time. DISCO currently supports the following capabilities: 1) resource descriptions, 2) “LinkOut” to a resource’s data items from NCBI Entrez resources such as PubMed, 3) Web-based interoperation with a resource, 4) sharing a resource’s lexicon and ontology, 5) sharing a resource’s database schema, and 6) participation by the resource in neuroscience-related RSS news dissemination. The developers of a resource are free to choose which DISCO capabilities their resource will participate in. Although DISCO is used by NIF to facilitate neuroscience data integration, its capabilities have general applicability to other areas of research.

Journal

Neuroinformatics – Springer Journals

Published: Apr 13, 2010

References

  • The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience
    Bug, WJ; Ascoli, GA; Grethe, JS; Gupta, A; Fennema-Notestine, C; Laird, AR; Larson, SD; Rubin, D; Shepherd, GM; Turner, JA; Martone, ME
  • The Neuroscience Information Framework: a data and knowledge environment for neuroscience
    Gardner, D; Akil, H; Ascoli, GA; Bowden, DM; Bug, W; Donohue, DE; Goldberg, DH; Grafstein, B; Grethe, JS; Gupta, A; Halavi, M; Kennedy, DN; Marenco, L; Martone, ME; Miller, PL; Müller, HM; Robert, A; Shepherd, GM; Sternberg, PW; Essen, DC
  • Federated access to heterogeneous information resources in the Neuroscience Information Framework (NIF)
    Gupta, A; Bug, W; Marenco, L; Qian, X; Condit, C; Rangarajan, A; Müller, HM; Miller, PL; Sanders, B; Grethe, JS; Astakhov, V; Shepherd, G; Sternberg, PW; Martone, ME
  • Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances
    Marenco, L; Tosches, N; Crasto, C; Shepherd, G; Miller, PL; Nadkarni, PM
  • The NIF LinkOut Broker: a web resource to facilitate federated data integration using NCBI identifiers
    Marenco, L; Giorgio, A; Ascoli, GA; Martone, ME; Shepherd, GM; Miller, PL
  • Integration of multidisciplinary sensory data: a pilot model of the human brain project approach
    Miller, PL; Nadkarni, P; Singer, M; Marenco, L; Hines, M; Shepherd, G
  • The human brain project: neuroinformatics tools for integrating, searching, and modeling multidisciplinary neuroscience data
    Shepherd, GM; Mirsky, JS; Healy, MD; Singer, MS; Skoufos, E; Hines, MS; Nadkarni, PM; Miller, PL