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SchizConnect: Virtual Data Integration in Neuroimaging

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Data Integration in the Life Sciences (DILS 2015)

Abstract

In many scientific domains, including neuroimaging studies, there is a need to obtain increasingly larger cohorts to achieve the desired statistical power for discovery. However, the economics of imaging studies make it unlikely that any single study or consortia can achieve the desired sample sizes. What is needed is an architecture that can easily incorporate additional studies as they become available. We present such architecture based on a virtual data integration approach, where data remains at the original sources, and is retrieved and harmonized in response to user queries. This is in contrast to approaches that move the data to a central warehouse. We implemented our approach in the SchizConnect system that integrates data from three neuroimaging consortia on Schizophrenia: FBIRN’s Human Imaging Database (HID), MRN’s Collaborative Imaging and Neuroinformatics System (COINS), and the NUSDAST project at XNAT Central. A portal providing harmonized access to these sources is publicly deployed at schizconnect.org.

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References

  1. Turner, J.A.: The rise of large-scale imaging studies in psychiatry. GigaScience 3, 29 (2014)

    Article  Google Scholar 

  2. Glover, G.H., et al.: Function biomedical informatics research network recommendations for prospective multicenter functional MRI studies. J. Magn. Reson. Imaging JMRI 36, 39–54 (2012)

    Article  MathSciNet  Google Scholar 

  3. King, M.D., Wood, D., Miller, B., Kelly, R., Landis, D., Courtney, W., Wang, R., Turner, J.A., Calhoun, V.D.: Automated collection of imaging and phenotypic data to centralized and distributed data repositories. Front. Neuroinform. 8, 60 (2014)

    Article  Google Scholar 

  4. Thompson, P.M., et al.: The ENIGMA consortium: large-scale collaborative analyses of neuroimaging and genetic data. Brain Imaging Behav. 8, 153–182 (2014)

    Google Scholar 

  5. Keator, D.B., et al.: A national human neuroimaging collaboratory enabled by the biomedical informatics research network (BIRN). IEEE Trans. Inf. Technol. Biomed. 12, 162–172 (2008)

    Article  Google Scholar 

  6. Hall, D., Huerta, M.F., McAuliffe, M.J., Farber, G.K.: Sharing heterogeneous data: the national database for autism research. Neuroinformatics 10, 331–339 (2012)

    Article  Google Scholar 

  7. Wang, L., et al.: Northwestern University Schizophrenia Data and Software Tool (NUSDAST). Frontiers in Neuroinformatics 7, 25 (2013)

    Google Scholar 

  8. Marcus, D.S., Olsen, T., Ramaratnam, M., Buckner, M.L.: The extensible neuroimaging archive toolkit (XNAT): An informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5, 11–34 (2005)

    Google Scholar 

  9. Scott, A., Courtney, W., Wood, D., de la Garza, R., Lane, S., King, M., Wang, R., Roberts, J., Turner, J.A., Calhoun, V.D.: COINS: An innovative informatics and neuroimaging tool suite built for large heterogeneous datasets. Front. Neuroinform. 5, 33 (2011)

    Article  Google Scholar 

  10. Ashish, N., Ambite, J.L., Muslea, M., Turner, J.: Neuroscience Data Integration through Mediation: An (F)BIRN Case Study. Front. Neuroinform. 4, 118 (2010)

    Article  Google Scholar 

  11. Doan, A., Halevy, A., Ives, Z.: Principles of Data Integration. Morgan Kauffman, Waltham (2012)

    Google Scholar 

  12. Fagin, R., Kolaitis, P.G., Miller, R.J., Popa, L.: Data Exchange: Semantics and query answering. In: Calvanese, D., Lenzerini, M., Motwani, R. (eds.) ICDT 2003. LNCS, vol. 2572, pp. 207–224. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  13. Konstantinidis, G., Ambite, J.: Scalable query rewriting: a graph-based approach. In: SIGMOD Conference, pp. 97–108. ACM (2011)

    Google Scholar 

  14. Grant, A., Antonioletti, M., Hume, A.C., Krause, A., Dobrzelecki, B., Jackson, M.J., Parsons, M., Atkinson, M.P., Theocharopoulos, E.: OGSA-DAI: Middleware for data integration: selected applications. In: Fourth IEEE International Conference on eScience (2008)

    Google Scholar 

  15. The Globus Project (1997). http://www.globus.org

  16. Turner, et al.: Terminology development towards harmonizing multiple clinical neuroimaging research repositories. In: Proceedings of DILS 2015 (2015)

    Google Scholar 

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Acknowledgements

SchizConnect is supported by a grant from the National Institutes of Health (NIH/NIMH), 5U01MH097435 to L. Wang, JL. Ambite, S.G. Potkin and J.A.Turner. The work on COINS is also supported by 5P20GM103472 (NIGMS) to V.D. Calhoun.

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Correspondence to Jose Luis Ambite .

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Ambite, J.L. et al. (2015). SchizConnect: Virtual Data Integration in Neuroimaging. In: Ashish, N., Ambite, JL. (eds) Data Integration in the Life Sciences. DILS 2015. Lecture Notes in Computer Science(), vol 9162. Springer, Cham. https://doi.org/10.1007/978-3-319-21843-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-21843-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21842-7

  • Online ISBN: 978-3-319-21843-4

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