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The Dementias Platform UK (DPUK) data portal
File | Description | Size | Format | |
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Bauermeister2020_Article_TheDementiasPlatformUKDPUKData.pdf | Published version | 804.11 kB | Adobe PDF | View/Open |
Title: | The Dementias Platform UK (DPUK) data portal |
Authors: | Bauermeister, S Orton, C Thompson, S Barker, RA Bauermeister, JR Ben-Shlomo, Y Brayne, C Burn, D Campbell, A Calvin, C Chandran, S Chaturvedi, N Chene, G Chessell, IP Corbett, A Davis, DHJ Denis, M Dufouil, C Elliott, P Fox, N Hill, D Hofer, SM Hu, MT Jindra, C Kee, F Kim, C-H Kim, C Kivimaki, M Koychev, I Lawson, RA Linden, GJ Lyons, RA Mackay, C Matthews, PM McGuiness, B Middleton, L Moody, C Moore, K Na, DL O'Brien, JT Ourselin, S Paranjothy, S Park, K-S Porteous, DJ Richards, M Ritchie, CW Rohrer, JD Rossor, MN Rowe, JB Scahill, R Schnier, C Schott, JM Seo, SW South, M Steptoe, M Tabrizi, SJ Tales, A Tillin, T Timpson, NJ Toga, AW Visser, P-J Wade-Martins, R Wilkinson, T Williams, J Wong, A Gallacher, JEJ |
Item Type: | Journal Article |
Abstract: | The Dementias Platform UK Data Portal is a data repository facilitating access to data for 3 370 929 individuals in 42 cohorts. The Data Portal is an end-to-end data management solution providing a secure, fully auditable, remote access environment for the analysis of cohort data. All projects utilising the data are by default collaborations with the cohort research teams generating the data. The Data Portal uses UK Secure eResearch Platform infrastructure to provide three core utilities: data discovery, access, and analysis. These are delivered using a 7 layered architecture comprising: data ingestion, data curation, platform interoperability, data discovery, access brokerage, data analysis and knowledge preservation. Automated, streamlined, and standardised procedures reduce the administrative burden for all stakeholders, particularly for requests involving multiple independent datasets, where a single request may be forwarded to multiple data controllers. Researchers are provided with their own secure ‘lab’ using VMware which is accessed using two factor authentication. Over the last 2 years, 160 project proposals involving 579 individual cohort data access requests were received. These were received from 268 applicants spanning 72 institutions (56 academic, 13 commercial, 3 government) in 16 countries with 84 requests involving multiple cohorts. Projects are varied including multi-modal, machine learning, and Mendelian randomisation analyses. Data access is usually free at point of use although a small number of cohorts require a data access fee. |
Issue Date: | 23-Apr-2020 |
Date of Acceptance: | 10-Apr-2020 |
URI: | http://hdl.handle.net/10044/1/79628 |
DOI: | 10.1007/s10654-020-00633-4 |
ISSN: | 0393-2990 |
Publisher: | Springer (part of Springer Nature) |
Start Page: | 601 |
End Page: | 611 |
Journal / Book Title: | European Journal of Epidemiology |
Volume: | 35 |
Copyright Statement: | © The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Sponsor/Funder: | Engineering & Physical Science Research Council (EPSRC) Medical Research Council (MRC) |
Funder's Grant Number: | EP/N014529/1 R119705 |
Keywords: | Science & Technology Life Sciences & Biomedicine Public, Environmental & Occupational Health Cohorts Epidemiology Data platform Data repository Data access Data management COHORT PROFILE PARKINSONS-DISEASE COGNITIVE FUNCTION HEALTH Cohorts Data access Data management Data platform Data repository Epidemiology Science & Technology Life Sciences & Biomedicine Public, Environmental & Occupational Health Cohorts Epidemiology Data platform Data repository Data access Data management COHORT PROFILE PARKINSONS-DISEASE COGNITIVE FUNCTION HEALTH Epidemiology 1117 Public Health and Health Services |
Publication Status: | Published online |
Online Publication Date: | 2020-04-23 |
Appears in Collections: | Faculty of Medicine School of Public Health Department of Brain Sciences |