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Consensus Statement on Public Involvement and Engagement with Data Intensive Health Research

  • Mhairi Aitken
  • , Mary P Tully
  • , Carol Porteous
  • , Simon Denegri
  • , Sarah Cunningham-Burley* (Corresponding Author)
  • , Natalie Banner
  • , Corri Black
  • , Michael Burgess
  • , Lynsey Cross
  • , Johannes Jm van Delden
  • , Elizabeth Ford
  • , Sarah Fox
  • , Natalie K Fitzpatrick
  • , Kay Gallacher
  • , Catharine Goddard
  • , Lamiece Hassan
  • , Ron Jamieson
  • , Kerina H Jones
  • , Minna Kaarakainen
  • , Fiona Lugg-Widger
  • Kimberlyn McGrail, Anne McKenzie, Rosalyn Moran, Madeleine J Murtagh, Malcolm Oswald, Alison Paprica, Nicola Perrin, Emma Victoria Richards, John Rouse, Joanne Webb, Donald J Willison
*Corresponding author for this work
  • University of Edinburgh
  • University of Manchester
  • Wellcome Trust
  • University of British Columbia
  • University of Brighton
  • University of Dundee
  • Farr Institute of Health Informatics Research
  • University of Helsinki
  • Cardiff University
  • University of Western Australia
  • EKOS- Social and Environmental Research Associates
  • Newcastle University
  • University of Toronto
  • University of Essex

Research output: Contribution to journalArticlepeer-review

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Abstract

This consensus statement reflects the deliberations of an international group of stakeholders with a range of expertise in public involvement and engagement (PI&E) relating to data-intensive health research. It sets out eight key principles to establish a secure role for PI&E in and with the research community internationally and ensure best practice in its execution. Our aim is to promote culture change and societal benefits through ensuring a socially responsible trajectory for innovations in this field. Our key premise is that the public should not be characterised as a problem to be overcome but a key part of the solution to establish socially beneficial data-intensive health research for all.
Original languageEnglish
Article number6
Number of pages6
JournalInternational Journal of Population Data Science
Volume4
Issue number1
DOIs
Publication statusPublished - 12 Feb 2019

Bibliographical note

Funding Statement
This project was funded by The Farr Institute of Health Informatics Research. The Farr Institute was supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates), the Wellcome Trust, (MRC Grant No: MR/M501633/2).

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