Towards reusability of computational experiments: Capturing and sharing Research Objects from knowledge discovery processes

A. Lefebvre, M. Spruit, W Omta

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

    Abstract

    Calls for more reproducible research by sharing code and data are released in a large number of fields from biomedical science to signal processing. At the same time, the urge to solve data analysis bottlenecks in the biomedical field generates the need for more interactive data analytics solutions. These interactive solutions are oriented towards wet lab users whereas bioinformaticians favor custom analysis tools. In this position paper we elaborate on why Reproducible Research, by presenting code and data sharing as a gold standard for reproducibility misses important challenges in data analytics. We suggest new ways to design interactive tools embedding constraints of reusability with data exploration. Finally, we seek to integrate our solution
    with Research Objects as they are expected to bring promising advances in reusability and partial reproducibility of computational work.
    Original languageEnglish
    Title of host publicationKDIR 2015 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, part of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015), Volume 1, Lisbon, Portugal, November 12-14, 2015
    Place of PublicationLisbon, Portugal
    PublisherSciTePress
    Pages456–462
    Number of pages7
    Volume1
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Knowledge Discovery
    • Reproducible Research
    • Bioinformatics
    • Research Objects
    • Software Development

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