Research data sharing behaviour of engineering researchers in Norway and the UK: Uncovering the double face of Janus

Mari Louise Mallasvik, Jorge Tiago Martins

    Research output: Contribution to journalArticleScientificpeer-review

    7 Citations (Scopus)

    Abstract

    Purpose: In a context of growing policy pressures to increase the societal impact of Higher Education Institutions (HEI), open access to research data has gained increased significance, in spite of the limited availability of standard procedures and protocols, particularly in the engineering disciplines. In this article, we explore how engineering researchers' engagement with such external environment pressures impacts the conventional dimensions of engineering research work, and how engineering researchers within engineering HEI resolve potential tensions and make sense of their research data sharing practices. Design/methodology/approach: We use an institutional logics theoretical perspective to qualitatively examine research data sharing behaviours of researchers in Norway and the UK as leading engineering research centres, through the use of policy analysis and narrative interviews. Findings: The findings indicate that research data sharing behaviours are heavily mediated by institutional rules and rationalities that inform researchers' attitudes, but the logics that prize openness and sharing co-exist with logics that favour control and self-interest. Originality/value: Our findings suggest that logics-specific variations in engineering researchers' identities and goals are of paramount importance to policymakers, research funders and academic leaders striving to support HEI in their efforts to augment the societal impact of research.

    Original languageEnglish
    Pages (from-to)576-593
    Number of pages18
    JournalJournal of Documentation
    Volume77
    Issue number2
    Early online date18 Dec 2020
    DOIs
    Publication statusPublished - 17 Feb 2021
    MoE publication typeA1 Journal article-refereed

    Keywords

    • research data sharing
    • open research data
    • institutional logics
    • engineering
    • institutional complexity

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