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.
Highlights
Given the global focus on making science more transparent, reproducible, and accessible during the research process, Open Science has evolved as an umbrella term which covers various movements designed to remove “barriers to outputs, resources, methods, and tools throughout the research lifecycle
The authors undertook a critical review of the literature on trust as applied to several categories of online systems to determine a suitable conceptual framework for application in a research data services setting
This paper focuses on the research environment, in which the end-user is predominantly a researcher, while recognising that increasingly that end-user could be an industry user, student, librarian, or other support staff member attempting to determine whether the service would/should be used
Summary
Given the global focus on making science more transparent, reproducible, and accessible during the research process, Open Science has evolved as an umbrella term which covers various movements designed to remove “barriers to outputs, resources, methods, and tools throughout the research lifecycle. Open Science has a high profile internationally principally because it is viewed as having “the potential to increase the quality, impact and benefits of science . 18–19) has outlined the following rationale for/benefits of open science and open data, for research and innovation: improving efficiency in science, increasing transparency and quality in the research validation process, speeding the transfer of knowledge, increasing knowledge spillovers to the economy, addressing global challenges more effectively, and promoting citizens’ engagement in science and research. In looking at data, the OECD [3] Understanding the provenance of data along with establishing rigour in regard to its management all contribute to the ultimate goal of reproducibility
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