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

Carole Goble, A. J. G. Gray, L. Harland, K. Karapetyan, A. Loizou, I. Mikhailov, Y. Rankka, S. Senger, V. Tkachenko, A. Williams, E Willighagen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The Open Pharmacological Space 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 cloud, their content needs to be combined with that of commercial data sets and the licensing of these commercial data sets respected. Additionally, pharmaceutical companies have built up their own extensive private data collections that they require to be included in their pharmacological data space. In this paper we discuss the challenges of incorporating private and commercial data into a linked data space: focusing on the modelling of these data sets and their interlinking. We also present the graph-based access control mechanism that ensures commercial and private data sets are only available to authorized users.
    Original languageEnglish
    Title of host publicationhost publication
    PublisherSpringer Nature
    Publication statusPublished - Oct 2013
    EventInternational Semantic Web Conference – In-use Track - Sydney, Australia
    Duration: 1 Jan 1824 → …

    Conference

    ConferenceInternational Semantic Web Conference – In-use Track
    CitySydney, Australia
    Period1/01/24 → …

    Keywords

    • Linked Data
    • Commercial Data
    • Private Data
    • Drug discovery
    • Pharmacology

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