An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population | Zendy

Thomas Nind | Zendy; James M. Sutherland | Zendy; Gordon McAllister | Zendy; Douglas Hardy | Zendy; Alastair Hume | Zendy; Ruairidh MacLeod | Zendy; Jacqueline Caldwell | Zendy; Susan Krueger | Zendy; Leandro Tramma | Zendy; Ross Teviotdale | Zendy; Mohammed Abdelatif | Zendy; Kenneth Gillen | Zendy; Joseph Ward | Zendy; Donald Scobbie | Zendy; Ian Baillie | Zendy; Andrew Brooks | Zendy; Bianca Prodan | Zendy; William Kerr | Zendy; Dominic Sloan-Murphy | Zendy; Juan F. R. Herrera | Zendy; Dan C. McManus | Zendy; Carole Morris | Zendy; Carol Sinclair | Zendy; Rob Baxter | Zendy; Mark Parsons | Zendy; Andrew D. Morris | Zendy; Emily Jefferson | Zendy

Open Access

An extensible big data software architecture managing a research resource of real-world clinical radiology data linked to other health data from the whole Scottish population

Author(s) -

Thomas Nind,

James M. Sutherland,

Gordon McAllister,

Douglas Hardy,

Alastair Hume,

Ruairidh MacLeod,

Jacqueline Caldwell,

Susan Krueger,

Leandro Tramma,

Ross Teviotdale,

Mohammed Abdelatif,

Kenneth Gillen,

Joseph Ward,

Donald Scobbie,

Ian Baillie,

Andrew Brooks,

Bianca Prodan,

William Kerr,

Dominic Sloan-Murphy,

Juan F. R. Herrera,

Dan C. McManus,

Carole Morris,

Carol Sinclair,

Rob Baxter,

Mark Parsons,

Andrew D. Morris,

Emily Jefferson

Publication year - 2020

Publication title -

gigascience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.947

H-Index - 54

ISSN - 2047-217X

DOI - 10.1093/gigascience/giaa095

Subject(s) - computer science , data science , resource (disambiguation) , software , population , big data , open data , architecture , data management , modalities , world wide web , data mining , medicine , geography , computer network , social science , environmental health , archaeology , sociology , programming language

To enable a world-leading research dataset of routinely collected clinical images linked to other routinely collected data from the whole Scottish national population. This includes more than 30 million different radiological examinations from a population of 5.4 million and >2 PB of data collected since 2010.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research