Translational Research 2.0 – Searching for Answers in a World of Big Data
17 Pages Posted: 11 Apr 2013 Last revised: 6 Dec 2013
Date Written: April 9, 2013
The World Wide Web has revolutionized how researchers from various disciplines collaborate throughout the world. In the Life Sciences, interdisciplinary approaches are becoming increasingly powerful as a driver of both integration and discovery. Data access, data quality, identity, and provenance are all critical ingredients to facilitate and accelerate these collaborative enterprises and it is in the area of Translational Research where 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, integration and discovery require a consistent foundation upon which to operate. A foundation 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 paper will discuss the critical issues associated with Translational Research and their implications for future medical and healthcare research. The first set of issues concerns the enhancement of research for traditional ecosystem stakeholders, namely, research organizations and care delivery organizations, especially through the use of bio-repositories. The key questions to be addressed surrounding Translational Research 2.0 are:
- What is it and how might it aid knowledge discovery and collaboration within the medical and healthcare ecosystem?
- What benefits, challenges, and opportunities does it provide?
- How can bio-repositories enhance it?
The answers to these questions directly impact the translation of research findings from basic research, performed by research organizations, into clinical practice, provided by care delivery organizations.
Finally, this paper discusses how research can be enhanced for the broader ecosystem, through the mining and analysis of knowledge surrounding health outcomes, namely: What key challenges are associated with Translational Informatics in a world of “big data”? The answer to this question is of importance to all ecosystem stakeholders, in their collective efforts to better understand health outcomes and facilitate the biomedical discovery process.
Keywords: Translational Research, Web 2.0, Big Data, Biomedical and Translational Informatics, Heterogeneous Data Integration, Medical and Healthcare Ecosystem, Knowledge Discovery, Collaborative Research, Bio-repositories, Health Outcomes, Data Mining and Analytics
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