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Web 2.0 technologies applications have been suggested as potential enablers for the accumulation of multidisciplinary knowledge, for instance in the biomedical field. Such applications offer new ways of creating, collaborating and sharing user-generated content online. Under this context, The authors’ present an innovative Web 2.0 approach that exploits prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large and rapidly evolving sources. The underlying tool is designed to support the entire life cycle of a biomedical collaboration, with specifically implemented services. Preliminary evaluation results are also presented and discussed.
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Tsiliki et al. (2013) studied this question.
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