IDEAS home Printed from https://ideas.repec.org/a/gam/jpubli/v5y2017i2p14-d100175.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2304-6775/5/2/14/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2304-6775/5/2/14/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oecd, 2015. "Making Open Science a Reality," OECD Science, Technology and Industry Policy Papers 25, OECD Publishing.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Featherman, Mauricio & Jia, Shizhen (Jasper) & Califf, Christopher B. & Hajli, Nick, 2021. "The impact of new technologies on consumers beliefs: Reducing the perceived risks of electric vehicle adoption," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    2. Tazizur Rahman & Yang Sok Kim & Mijin Noh & Choong Kwon Lee, 2020. "Determinants of social commerce adoption in an emerging economy," Service Business, Springer;Pan-Pacific Business Association, vol. 14(4), pages 479-502, December.
    3. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    4. Park, JungKun & Hong, EunPyo & Park, Yun-na, 2023. "Toward a new business model of retail industry: The role of brand experience and brand authenticity," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    5. Paul Brous & Marijn Janssen, 2020. "Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes," Administrative Sciences, MDPI, vol. 10(4), pages 1-19, October.
    6. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    7. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    8. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    9. FUSTER MARTI Enric & Elisabetta Marinelli & PLAUD Sabine & QUINQUILLA Arnau & MASSUCCI Francesco, 2020. "Open Data, Open Science & Open Innovation for Smart Specialisation monitoring," JRC Research Reports JRC119687, Joint Research Centre.
    10. Osama Sohaib & Kyeong Kang & Mohammad Nurunnabi, 2018. "Gender-Based iTrust in E-Commerce: The Moderating Role of Cognitive Innovativeness," Sustainability, MDPI, vol. 11(1), pages 1-16, December.
    11. Ray Qing Cao & Dara G. Schniederjans & Vicky Ching Gu, 2021. "Stakeholder sentiment in service supply chains: big data meets agenda-setting theory," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 151-175, March.
    12. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    13. Tiéfigué Pierrette Coulibaly & Jianguo Du & Daniel Diakité & Olivier Joseph Abban & Elvis Kouakou, 2021. "A Proposed Conceptual Framework on the Adoption of Sustainable Agricultural Practices: The Role of Network Contact Frequency and Institutional Trust," Sustainability, MDPI, vol. 13(4), pages 1-12, February.
    14. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    15. Akansha Mer & Amarpreet Singh Virdi, 2023. "Modeling Millennials’ Adoption Intentions of E-banking: Extending UTAUT with Perceived Risk and Trust," FIIB Business Review, , vol. 12(4), pages 425-438, December.
    16. Pan Liu & Shu-ping Yi, 2018. "Investment decision-making and coordination of a three-stage supply chain considering Data Company in the Big Data era," Annals of Operations Research, Springer, vol. 270(1), pages 255-271, November.
    17. Sunita Guru & Jitendra Nenavani & Vipul Patel & Nityesh Bhatt, 2020. "Ranking of perceived risks in online shopping," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(2), pages 137-152, June.
    18. Tajvidi, Mina & Richard, Marie-Odile & Wang, YiChuan & Hajli, Nick, 2020. "Brand co-creation through social commerce information sharing: The role of social media," Journal of Business Research, Elsevier, vol. 121(C), pages 476-486.
    19. Benjamin T. Hazen & Joseph B. Skipper & Christopher A. Boone & Raymond R. Hill, 2018. "Back in business: operations research in support of big data analytics for operations and supply chain management," Annals of Operations Research, Springer, vol. 270(1), pages 201-211, November.
    20. Shafiqul Islam & Mohammad Fakhrul Islam & Noor-E- Zannat, 2023. "Behavioral Intention to Use Online for Shopping in Bangladesh: A Technology Acceptance Model Analysis," SAGE Open, , vol. 13(3), pages 21582440231, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jpubli:v:5:y:2017:i:2:p:14-:d:100175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.