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A Trust Framework for Online Research Data Services

Author

Listed:
  • Malcolm Wolski

    (Information Services, Griffith University, Nathan 4111, Australia)

  • Louise Howard

    (Information Services, Griffith University, Nathan 4111, Australia)

  • Joanna Richardson

    (Information Services, Griffith University, Nathan 4111, Australia)

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 has been developed from an end-user perspective, is proposed as a model for addressing relevant issues within online research data services and tools.

Suggested Citation

  • Malcolm Wolski & Louise Howard & Joanna Richardson, 2017. "A Trust Framework for Online Research Data Services," Publications, MDPI, vol. 5(2), pages 1-16, June.
  • Handle: RePEc:gam:jpubli:v:5:y:2017:i:2:p:14-:d:100175
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    References listed on IDEAS

    as
    1. Oecd, 2015. "Making Open Science a Reality," OECD Science, Technology and Industry Policy Papers 25, OECD Publishing.
    2. Paluch, Stefanie & Wünderlich, Nancy V., 2016. "Contrasting risk perceptions of technology-based service innovations in inter-organizational settings," Journal of Business Research, Elsevier, vol. 69(7), pages 2424-2431.
    3. Mauricio S. Featherman & Nick Hajli, 2016. "Self-Service Technologies and e-Services Risks in Social Commerce Era," Journal of Business Ethics, Springer, vol. 139(2), pages 251-269, December.
    4. Phan, Michel C. T. & Styles, Chris W. & Patterson, Paul G., 2005. "Relational competency's role in Southeast Asia business partnerships," Journal of Business Research, Elsevier, vol. 58(2), pages 173-184, February.
    5. Ayoung Yoon, 2017. "Data reusers' trust development," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 946-956, April.
    6. Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
    7. Martin, Jillian & Mortimer, Gary & Andrews, Lynda, 2015. "Re-examining online customer experience to include purchase frequency and perceived risk," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 81-95.
    8. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
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