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The Dementias Platform UK (DPUK) data portal

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Bauermeister2020_Article_TheDementiasPlatformUKDPUKData.pdfPublished version804.11 kBAdobe PDFView/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