TY - JOUR
T1 - Translational Research 2.0
T2 - A framework for accelerating collaborative discovery
AU - Asakiewicz, Chris
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
KW - Analytics
KW - Big data
KW - Collaborative research
KW - Data mining
KW - Health outcomes
KW - Knowledge discovery
KW - Knowledge integration
KW - Medical and healthcare ecosystem
KW - Translational research
KW - Web 2.0
UR - http://www.scopus.com/inward/record.url?scp=84902593187&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902593187&partnerID=8YFLogxK
U2 - 10.2217/pme.14.15
DO - 10.2217/pme.14.15
M3 - Review article
AN - SCOPUS:84902593187
SN - 1741-0541
VL - 11
SP - 351
EP - 358
JO - Personalized Medicine
JF - Personalized Medicine
IS - 3
ER -