Cloud-Based Mediation and Access of Healthcare Data in the @neurIST Project

  • Martin Koehler
  • Siegfried Benkner
  • Gerhard Engelbrecht
  • Steven Wood
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6586)


Managing and sharing data and information related to the understanding of human disease processes represents a huge challenge for medical researchers and clinicians. The European @neurIST project addressed this challenge by developing an advanced service-oriented IT infrastructure for the management of all processes linked to research, diagnosis and treatment development for complex and multi-factorial diseases. The @neurIST infrastructure relies on a service-oriented architecture comprising data services and compute services encompassing data repositories, computational analysis services and information systems handling multi-scale, multi-modal information at distributed sites. The @neurIST data services infrastructure offers tools based on Grid and Cloud technologies for constructing virtual data sources that enable transparent access to and integration of distributed heterogeneous biomedical and clinical data sources. Pre-configured virtual data nodes and a virtual mediation node ensure an easy distribution, hosting and deployment of data services by utilizing latest Cloud computing technologies.


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  1. 1.
    Alpdemir, M.N., Mukherjee, A., Gounaris, A., Paton, N.W., Watson, P., Fernandes, A.A.A., Fitzgerald, D.J.: OGSA-DQP: A service for distributed querying on the grid. In: Hwang, J., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 858–861. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  2. 2.
    Antonioletti, M., Atkinson, M., Baxter, R., Borley, A., Hong, C., Neil, P., Collins, B., Hardman, N., Hume, A.C., Knox, A., Jackson, M., Krause, A., Laws, S., Magowan, J., Paton, N.W., Pearson, D., Sugden, T., Watson, P., Westhead, M.: The design and implementation of grid database services in ogsa-dai: Research articles. Concurrency and Computation: Practice and Experience 17(2-4), 357–376 (2005)CrossRefGoogle Scholar
  3. 3.
    Benkner, S., Engelbrecht, G., Koehler, M., Woehrer, A.: Virtualizing scientific applications and data sources as grid services. In: Cao, J. (ed.) Cyberinfrastructure Technologies and Applications. Nova Science Publishers, New York (2009)Google Scholar
  4. 4.
    Freund, J., Comaniciu, D., Ioannis, Y., Liu, P., McClatchey, R., Morley-Fletcher, E., Pennec, X., Pongiglione, G., Zhou, X.: Health-e-child: An integrated biomedical platform for grid-based paediatrics. In: Challenges and Opportunities of HealthGrids: Proceedings of Healthgrid 2006, pp. 259–270. IOS Press, Amsterdam (2006)Google Scholar
  5. 5.
    Gruschka, N., Lo Iacono, L., Rajasekaran, H.: Security architecture for federated medical information systems. Phil. Trans. A Journal (2008)Google Scholar
  6. 6.
    Hunter, P., Coveney, P.V., de Bono, B., Diaz, V., Fenner, J., Frangi, A.F., Harris, P., Hose, R., Kohl, P., Lawford, P., McCormack, K., Mendes, M., Omholt, S., Quarteroni, A., Skar, J., Tegner, J., Thomas, R., Tollis, I., Tsamardinos, I., van Beek, J.H.G.M., Viceconti, M.: A vision and strategy for the virtual physiological human in 2010 and beyond. Philosophical Transactions of the Royal Society (2010)Google Scholar
  7. 7.
    Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R., Wolfsthal, Y., Elmroth, E., Caceres, J., Ben-Yehuda, M., Emmerich, W., Galan, F.: The reservoir model and architecture for open federated cloud computing. IBM Journal of Research and Development 53(4), 4:1–4:11 (2009)CrossRefGoogle Scholar
  8. 8.
    Tsiknakis, M., Brochhausen, M., Nabrzyski, J., Pucacki, J., Sfakianakis, S.G., Potamias, G., Desmedt, C., Kafetzopoulos, D.: A semantic grid infrastructure en- abling integrated access and analysis of multilevel biomedical data in support of postgenomic clinical trials on cancer. IEEE Transactions on Information Technology in Biomedicine 12 (March 2008)Google Scholar
  9. 9.
    Wöhrer, A., Benkner, S., Brezany, P.: Towards a reference model for the runtime-phase of semantic data mediation. In: Essaaidi, M., Malgeri, M., Badica, C. (eds.) Intelligent Distributed Computing IV. Studies in Computational Intelligence, vol. 315, pp. 89–95. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  10. 10.
    Wöhrer, A., Brezany, P., Min Tjoa, A.: Novel mediator architectures for grid information systems. Future Generation Computer Systems 21(1), 107–114 (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Martin Koehler
    • 1
  • Siegfried Benkner
    • 1
  • Gerhard Engelbrecht
    • 2
  • Steven Wood
    • 3
  1. 1.Faculty of Computer Science, Department of Scientific ComputingUniversity of ViennaViennaAustria
  2. 2.Center for Computational Imaging & Simulation Technologies in BiomedicineUniversitat Pompeu FabraBarcelonaSpain
  3. 3.Department of Medical PhysicsSheffield Teaching Hospitals TrustSheffieldUK

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