Captur, G;
Stables, RH;
Kehoe, D;
Deanfield, J;
Moon, JC;
(2016)
Why democratize bioinformatics?
BMJ Innovations
10.1136/bmjinnov-2016-000129.
(In press).
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Abstract
Network bioinformatics and web-based data collection instruments have the capacity to improve the efficiency of the UK’s appropriately high levels of investment into cardiovascular research. A very large proportion of scientific data falls into the long-tail of the cardiovascular research distribution curve, with numerous small independent research efforts yielding a rich variety of specialty data sets. The merging of such myriad datasets and the eradication of data silos, plus linkage with outcomes could be greatly facilitated through the provision of a national set of standardised data collection instruments—a shared-cardioinformatics library of tools designed by and for clinical academics active in the long-tail of biomedical research. Across the cardiovascular research domain, like the rest of medicine, the national aggregation and democratization of diverse long-tail data is the best way to convert numerous small but expensive cohort data sources into big data, expanding our knowledge-base, breaking down translational barriers, improving research efficiency and with time, improving patient outcomes.
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