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Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery

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Abstract

The Open PHACTS Discovery Platform aims to provide an integrated information space to advance pharmacological research in the area of drug discovery. Effective drug discovery requires comprehensive data coverage, i.e. integrating all available sources of pharmacology data. While many relevant data sources are available on the linked open data cloud, their content needs to be combined with that of commercial datasets and the licensing of these commercial datasets respected when providing access to the data. Additionally, pharmaceutical companies have built up their own extensive private data collections that they require to be included in their pharmacological dataspace. In this paper we discuss the challenges of incorporating private and commercial data into a linked dataspace: focusing on the modelling of these datasets and their interlinking. We also present the graph-based access control mechanism that ensures commercial and private datasets are only available to authorized users.

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Author information

Authors and Affiliations

  1. School of Computer Science, University of Manchester, UK

    Carole Goble & Alasdair J. G. Gray

  2. Connected Discovery, UK

    Lee Harland

  3. Royal Society of Chemistry, UK

    Karen Karapetyan, Valery Tkachenko & Antony J. Williams

  4. Department of Computer Science, VU University of Amsterdam, The Netherlands

    Antonis Loizou

  5. OpenLink Software, UK

    Ivan Mikhailov & Yrjänä Rankka

  6. GlaxoSmithKline, UK

    Stefan Senger

  7. Department of Bioinformatics - BiGCaT, Maastricht University, The Netherlands

    Egon L. Willighagen

Authors
  1. Carole Goble

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  2. Alasdair J. G. Gray

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  3. Lee Harland

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  4. Karen Karapetyan

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  5. Antonis Loizou

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  6. Ivan Mikhailov

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  7. Yrjänä Rankka

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  8. Stefan Senger

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  9. Valery Tkachenko

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  10. Antony J. Williams

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  11. Egon L. Willighagen

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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Harith Alani

  2. Massachusetts Institute of Technology, Cambridge, MA, USA

    Lalana Kagal

  3. IBM Research, Hawthorne, NY, USA

    Achille Fokoue

  4. Free University Amsterdam, The Netherlands

    Paul Groth

  5. Technical University Darmstadt, Germany

    Chris Biemann

  6. Digital Enterprise Research Institute, National University of Ireland, Galway, Ireland

    Josiane Xavier Parreira

  7. VU Amsterdam, The Netherlands

    Lora Aroyo

  8. Stanford University, CA, USA

    Natasha Noy

  9. IBM Research, Yorktown Heights, NY, USA

    Chris Welty

  10. University of California, Santa Barbara, CA, USA

    Krzysztof Janowicz

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© 2013 Springer-Verlag Berlin Heidelberg

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Cite this paper

Goble, C.et al. (2013). Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery. In: Alani, H.,et al. The Semantic Web – ISWC 2013. ISWC 2013. Lecture Notes in Computer Science, vol 8219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41338-4_5

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