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  • A Trust Framework for Online Research Data Services

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    WolskiPUB3357.pdf (460.0Kb)
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    Version of Record (VoR)
    Author(s)
    Wolski, Malcolm
    Howard, Louise
    Richardson, Joanna
    Griffith University Author(s)
    Wolski, Malcolm P.
    Richardson, Joanna P.
    Howard, Louise
    Year published
    2017
    Metadata
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    Abstract
    There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, and other researchers to participate in the open science agenda, further work needs to be undertaken to establish trust in research environments. Based on a critical review of the literature, this paper examines the issue of trust in an open science environment, using virtual laboratories as the focus for discussion. A trust framework, which ...
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    There is worldwide interest in the potential of open science to increase the quality, impact, and benefits of science and research. More recently, attention has been focused on aspects such as transparency, quality, and provenance, particularly in regard to data. For industry, citizens, and other researchers to participate in the open science agenda, further work needs to be undertaken to establish trust in research environments. Based on a critical review of the literature, this paper examines the issue of trust in an open science environment, using virtual laboratories as the focus for discussion. A trust framework, which has been developed from an end-user perspective, is proposed as a model for addressing relevant issues within online research data services and tools.
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    Journal Title
    Publications
    Volume
    5
    Issue
    2
    DOI
    https://doi.org/10.3390/publications5020014
    Copyright Statement
    © 2017 The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY 4.0) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Other information and computing sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/339445
    Collection
    • Journal articles

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