Enhancing Collaboration in Big Biomedical Data Settings Knowledge Visualization, Data Mining and Decision Making Issues

摘要

Biomedical researchers need to efficiently and effectively collaborate and make decisions by meaningfully assembling, mining and analyzing available large-scale volumes of complex multi-faceted data residing in different sources. Arguing that dealing with data-intensive and cognitively complex settings is not a technical problem alone, this paper reports on the development and practical use of an innovative web-based collaboration support service in a biomedical research context. The proposed service builds on the synergy between machine and human intelligence to facilitate and augment the underlying knowledge management, data mining and decision making processes. Evaluation results indicate that the service enables stakeholders to make more informed decisions, by displaying the aggregated information according to their needs.