Ford, E;
Boyd, A;
Bowles, JKF;
Havard, A;
Aldridge, RW;
Curcin, V;
Greiver, M;
... Sperrin, M; + view all
(2019)
Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond.
Learning Health Systems
, 3
(3)
, Article e10191. 10.1002/lrh2.10191.
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Abstract
The last 6 years have seen sustained investment in health data science in the United Kingdom and beyond, which should result in a data science community that is inclusive of all stakeholders, working together to use data to benefit society through the improvement of public health and well‐being. However, opportunities made possible through the innovative use of data are still not being fully realised, resulting in research inefficiencies and avoidable health harms. In this paper, we identify the most important barriers to achieving higher productivity in health data science. We then draw on previous research, domain expertise, and theory to outline how to go about overcoming these barriers, applying our core values of inclusivity and transparency. We believe a step change can be achieved through meaningful stakeholder involvement at every stage of research planning, design, and execution and team‐based data science, as well as harnessing novel and secure data technologies. Applying these values to health data science will safeguard a social licence for health data research and ensure transparent and secure data usage for public benefit.
| Type: | Article |
|---|---|
| Title: | Our data, our society, our health: A vision for inclusive and transparent health data science in the United Kingdom and beyond |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/lrh2.10191 |
| Publisher version: | https://doi.org/10.1002/lrh2.10191 |
| Language: | English |
| Additional information: | This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. https://creativecommons.org/licenses/by-nc/4.0/ |
| Keywords: | citizen‐driven science, data flows, health data science, health systems, stakeholder involvement, transparency |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10072168 |
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