June 15, 2014
June 15, 2014
June 18, 2014
Computing & Information Technology
24.162.1 - 24.162.12
An Exploratory Survey on User Perceptions and Adoption of NEES.orgScientific communities have developed new technologies that allow them to collaborate and atthe same time share resources such as data and tools. Technologies that can support theseprocesses are internet-based science gateways defined as “technological innovations whose aimis to bring about a radical transformation in research” (Procter, et al., 2006, p. 1675). Suchscience gateways are also called cyberinfrastructure or e-science (Procter, et al., 2006).Cyberinfrastructure is considered to be the basis for dynamic clusters of individuals,organizations, and resources such as computational tools and services, which enable flexibility,security and collaboration among their users (Zimmerman & Finholt, 2007).NEES.org is a cyberinfrastructure for research and education aimed at reducing losses fromearthquakes. The NEES is a network of 15 earthquake engineering equipment sites, located atuniversities across the United States, which can be used for testing in-place or through Internet.The NEES has specialized equipment such as shake tables, geotechnical centrifuges, a tsunamiwave basin, unique large-scale testing laboratories, and mobile and permanently installed fieldequipment (NSF, 2009).The goal of this study is to determine users’ practices and perceptions of the attributes of NEEShub based on their current experience. We administered a survey instrument based on Rogers’Diffusion of Innovation to identify (i) how can nees.org users be characterized based on theirintentions of use of NEES.org cyberinfrastructure? (ii) how earthquake engineering researchersand professors perceive NEES.org in terms of its relative advantage, compatibility, complexity,tiralability and observability? and (iii) what are users’ different levels of interaction andfrequency of use? Participants were recruited over email and forty researchers responded to thissurvey. Data will be analyzed using descriptive statistics to identify major tendencies. Findingswill be interpreted under the diffusion of innovation model and recommendations for increasingits usage will be provided.
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