Translational Research 2.0: a framework for accelerating collaborative discovery. (May 2014)

• Record Type: Journal Article
• Authors: Asakiewicz, Chris
• Is Part Of: Personalized medicine. Volume 11:Number 3(Year 2014)
• Page Start: 351
• Page End: 358
• Publication Date: 2014-05
• Subjects: analytics -- big data -- collaborative research -- data mining -- health outcomes -- knowledge discovery -- knowledge integration -- medical and healthcare ecosystem -- translational research -- web 2.0; Pharmacogenomics -- Periodicals; Pharmacogenetics -- Periodicals; 615.19
• DOI: 10.2217/pme.14.15
• Languages: English
• ISSNs: 1741-0541

Abstract

The world wide web has revolutionized the conduct of global, cross-disciplinary research. In the life sciences, interdisciplinary approaches to problem solving and collaboration are becoming increasingly important in facilitating knowledge discovery and integration. Web 2.0 technologies promise to have a profound impact – enabling reproducibility, aiding in discovery, and accelerating and transforming medical and healthcare research across the healthcare ecosystem. However, knowledge integration and discovery require a consistent foundation upon which to operate. A foundation should be capable of addressing some of the critical issues associated with how research is conducted within the ecosystem today and how it should be conducted for the future. This article will discuss a framework for enhancing collaborative knowledge discovery across the medical and healthcare research ecosystem. A framework that could serve as a foundation upon which ecosystem stakeholders can enhance the way data, information and knowledge is created, shared and used to accelerate the translation of knowledge from one area of the ecosystem to another.