Title |
Mapping global health research investments, time for new thinking - A Babel Fish for research data
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Published in |
Health Research Policy and Systems, September 2012
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DOI | 10.1186/1478-4505-10-28 |
Pubmed ID | |
Authors |
Robert F Terry, Liz Allen, Charles A Gardner, Javier Guzman, Mary Moran, Roderik F Viergever |
Abstract |
Today we have an incomplete picture of how much the world is spending on health and disease-related research and development (R&D). As such it is difficult to align, or even begin to coordinate, health R&D investments with international public health priorities. Current efforts to track and map global health research investments are complex, resource-intensive, and caveat-laden. An ideal situation would be for all research funding to be classified using a set of common standards and definitions. However, the adoption of such a standard by everyone is not a realistic, pragmatic or even necessary goal. It is time for new thinking informed by the innovations in automated online translation - e.g. Yahoo's Babel Fish. We propose a feasibility study to develop a system that can translate and map the diverse research classification systems into a common standard, allowing the targeting of scarce research investments to where they are needed most. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 30% |
Spain | 3 | 13% |
Philippines | 2 | 9% |
United Kingdom | 1 | 4% |
Bolivia, Plurinational State of | 1 | 4% |
Switzerland | 1 | 4% |
Unknown | 8 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 16 | 70% |
Scientists | 4 | 17% |
Practitioners (doctors, other healthcare professionals) | 2 | 9% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 5% |
United Kingdom | 1 | 2% |
Colombia | 1 | 2% |
Unknown | 37 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 24% |
Researcher | 5 | 12% |
Other | 4 | 10% |
Student > Doctoral Student | 4 | 10% |
Student > Ph. D. Student | 3 | 7% |
Other | 10 | 24% |
Unknown | 5 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 13 | 32% |
Medicine and Dentistry | 9 | 22% |
Business, Management and Accounting | 5 | 12% |
Engineering | 4 | 10% |
Agricultural and Biological Sciences | 3 | 7% |
Other | 1 | 2% |
Unknown | 6 | 15% |