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Data Model for Scientific Models and Hypotheses

  • Chapter
The Evolution of Conceptual Modeling

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6520))

Abstract

New instruments and techniques used in capturing scientific data are exponentially increasing the volume of data consumed by in-silico research, which has been usually referred to as data deluge. Once captured, scientific data goes through a cleaning workflow before getting ready for analysis that will eventually confirm the scientist’s hypothesis. The whole process is, nevertheless, complex and takes the focus of the scientist’s attention away from his/her research and towards solving the complexity associated with managing computing products. Moreover, as the research evolves, references to previous results and workflows are needed as source of provenance data. Based on these observations, we claim that in-silico experiments must be supported by a hypotheses data model that describes the elements involved in a scientific exploration and supports hypotheses assessment. Adopting a data perspective to represent hypotheses allow high-level references to experiments and provides support for hypotheses evolution. The data model drives the proposal of a data management system that would support scientists in describing, running simulations and interpreting their results.

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Author information

Authors and Affiliations

  1. LNCC – National Laboratory of Scientific Computing, Petrópolis, Brazil

    Fabio Porto

  2. EPFL-IC – Database Laboratory, Lausanne, Switzerland

    Stefano Spaccapietra

Authors
  1. Fabio Porto
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  2. Stefano Spaccapietra
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Editor information

Editors and Affiliations

  1. Gymnasium Gerresheim, Am Poth 60, 40625, Düsseldorf, Germany

    Roland Kaschek

  2. Maseeh College of Engineering and Computer Science, Computer Science Department, Portland State University, P.O. Box 751, 97207-0751, Portland, OR, USA

    Lois Delcambre

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Porto, F., Spaccapietra, S. (2011). Data Model for Scientific Models and Hypotheses. In: Kaschek, R., Delcambre, L. (eds) The Evolution of Conceptual Modeling. Lecture Notes in Computer Science, vol 6520. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17505-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-17505-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17504-6

  • Online ISBN: 978-3-642-17505-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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