5 research outputs found
From Prototype to Deployable System: Framing the Adoption of Digital Library Services
The Alexandria Digital Earth Prototype Project (ADEPT) is a 5-year (1999-2004) effort, with a goal of developing effective models for implementing digital libraries in undergraduate instruction. The ADEPT team has created a digital learning environment (DLE) that adds educational value to a digital library by offering a suite of services for teaching. Encouraged by the results of implementations in undergraduate geography classrooms, the team now shifts
its focus from experimental prototype to deployable system. Everett Rogers’ Diffusion of Innovations theories are used as frameworks for analyzing this complex transition. Recommendations for lowering the barriers to adoption
related to complexity, trialability, and observability include the prioritization of development efforts focused on stabilizing the system, the creation of documentation and an online demonstration, and anonymous logins to the system. To increase perceived relative advantage, existing technical and copyright issues in integrating the Alexandria Digital Library must be overcome. To increase compatibility, the speed at which pedagogical change is achieved must be rethought. Finally, recruitment efforts should focus on
innovators and early adopters before moving on to early majority, late majority, or laggard adopters
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Improving the secondary utilization of clinical data by incorporating context
This is a submission to the "Interrogating the social realities of information and communications systems pre-conference workshop, ASIST AM 2006." There is great potential in the utilization of existing clinical data to assist in decision support, epidemiology, and information retrieval. As we transition from evaluating systemsâ abilities to accurately capture the information in the record, to the clinical application of results, we must incorporate the contextual influences that affect such efforts. A methodology is proposed to assist researchers in identifying strengths and weaknesses of clinical data for application to secondary purposes. The results of its application to three ongoing clinical research projects are discussed