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

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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.

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References

  • Bug, W. J., Ascoli, G. A., Grethe, J. S., Gupta, A., Fennema-Notestine, C., Laird, A. R., et al. (2008). The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience. Neuroinformatics, 6(3), 175–194.

    Article  PubMed  Google Scholar 

  • Gardner, D., Akil, H., Ascoli, G. A., Bowden, D. M., Bug, W., Donohue, D. E., et al. (2008). The Neuroscience Information Framework: a data and knowledge environment for neuroscience. Neuroinformatics, 6(3), 149–160.

    Article  PubMed  Google Scholar 

  • Gupta, A., Bug, W., Marenco, L., Qian, X., Condit, C., Rangarajan, A., et al. (2008). Federated access to heterogeneous information resources in the Neuroscience Information Framework (NIF). Neuroinformatics, 6(3), 205–217.

    Article  PubMed  Google Scholar 

  • Marenco, L., Tosches, N., Crasto, C., Shepherd, G., Miller, P. L., & Nadkarni, P. M. (2003). Achieving evolvable Web-database bioscience applications using the EAV/CR framework: recent advances. Journal of the American Medical Informatics Association, 10(5), 444–53.

    Article  PubMed  Google Scholar 

  • Marenco, L., Giorgio, A., Ascoli, G. A., Martone, M. E., Shepherd, G. M., & Miller, P. L. (2008). The NIF LinkOut Broker: a web resource to facilitate federated data integration using NCBI identifiers. Neuroinformatics, 6(3), 219–227.

    Article  PubMed  Google Scholar 

  • Miller, P. L., Nadkarni, P., Singer, M., Marenco, L., Hines, M., & Shepherd, G. (2001). Integration of multidisciplinary sensory data: a pilot model of the human brain project approach. Journal of the American Medical Informatics Association, 8, 34–48.

    CAS  PubMed  Google Scholar 

  • NCBI. (2008). Entrez LinkOut Service. http://www.ncbi.nlm.nih.gov/projects/linkout.

  • NDG. (2008). Neuroscience Database Gateway. http://www.sfn.org/index.cfm?pagename=NDG_main.

  • Shepherd, G. M., Mirsky, J. S., Healy, M. D., Singer, M. S., Skoufos, E., Hines, M. S., et al. (1998). The human brain project: neuroinformatics tools for integrating, searching, and modeling multidisciplinary neuroscience data. Trends in Neuroscience, 21, 460–468.

    Article  CAS  Google Scholar 

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Acknowledgements

This research was supported in part by NIH grants P01 DC04732 and R01 DA021253, by NIH Neuroscience Blueprint Contracts HHSN271200577531C and NIDA-SSSAB-2008-1 via NIDA, and by the Society for Neuroscience. In addition we appreciate the collaboration on implementing the DISCO approach by Mihail Bota at UCSD (Brain Architecture Management System), Willy WaiHo Wong and Maryann Martone (Cell Centered Database), Rolf Kotter (CocoDat), David Kennedy (Internet Brain Volume Database), Maryam Halavi and Giorgio Ascoli (Neuromorpho.org), and Daniel Gardner (Neurodatabase.org).

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Correspondence to Luis Marenco.

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Information Sharing Statement

All information and program code related to DISCO protocols are publicly available through the Web sites mentioned in this publication.

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Marenco, L., Wang, R., Shepherd, G.M. et al. The NIF DISCO Framework: Facilitating Automated Integration of Neuroscience Content on the Web. Neuroinform 8, 101–112 (2010). https://doi.org/10.1007/s12021-010-9068-8

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  • DOI: https://doi.org/10.1007/s12021-010-9068-8

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