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Transactions on Large-Scale Data- and Knowledge-Centered Systems IV pp 158–187Cite as

A Secured Collaborative Model for Data Integration in Life Sciences

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Part of the book series: Lecture Notes in Computer Science ((TLDKS,volume 6990))

Abstract

Life Sciences research extensively and routinely use external online databases, tools and applications for the implementation of computational pipelines. These applications are among the truly distributed and highly collaborative global systems in existence. Since the resources these applications use are designed to serve individual users, they adopt an all-or-nothing model in which users necessarily have to accept the entire response even though only a fraction of the response is relevant. In computational pipelines involving several databases and complex repeat operations, costs due to unnecessary data transmissions and computations could be significant enough to reduce productivity and make the applications sluggish. Since these resources are autonomous, and do not accept user instructions or queries, users are not able to customize their behavior in order to reduce network latency and wasteful computation or data transmission. Obviously, such a resource utilization and sharing model is wasteful and expensive. In this paper, our goal is to propose a new collaborative data integration and computational pipeline execution model for systems biology research. We show that in our envisioned model, arbitrary sites are able to accept user constraints and limited processing instructions to avoid wasteful computation resulting in improved overall efficiency. We also demonstrate that the proposed collaborative model does not breach site security or infringe upon its autonomy.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Wayne State University, USA

    Hasan Jamil

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  1. Hasan Jamil
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Editor information

Editors and Affiliations

  1. Institut de Recherche en Informatique de Toulouse (IRIT), Paul Sabatier University, 118, route de Narbonne, 31062, Toulouse Cedex, France

    Abdelkader Hameurlain

  2. University of Linz, FAW, Altenbergerstraße 69, 4040, Linz, Austria

    Josef Küng  & Roland Wagner  & 

  3. Department of Computer Science, Ludwig-Maximilians-Universität, Oettingenstrasse 67, 80538, München, Germany

    Christian Böhm

  4. Institut für Informatik-Systeme, Alpen Adria Universität Klagenfurt, Universitätsstr. 65, 9020, Klagenfurt, Austria

    Johann Eder

  5. Department of Scientific Computing, Florida State University, 400 Dirac Science Library, 32306-4120, Tallahassee, FL, USA

    Claudia Plant

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© 2011 Springer-Verlag Berlin Heidelberg

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Jamil, H. (2011). A Secured Collaborative Model for Data Integration in Life Sciences. In: Hameurlain, A., Küng, J., Wagner, R., Böhm, C., Eder, J., Plant, C. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems IV. Lecture Notes in Computer Science, vol 6990. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23740-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-23740-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23739-3

  • Online ISBN: 978-3-642-23740-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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