Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/45095
Title: Mental health, big data and research ethics: Parity of esteem in mental health research from a UK perspective
Authors: Morton, Julie
O'Reilly, Michelle
First Published: 1-Nov-2019
Publisher: SAGE Publications (UK and US)
Citation: Clinical Ethics, 2019, In Press
Abstract: Tensions regarding the ethics of mental health research are multi-layered and complex. Factors such as the challenges presented by the social construct of vulnerability, issues of capacity to consent and the tendency to homogenise the population diagnosed with mental health conditions create a challenging epistemological backdrop to inquiry. Such issues are further complicated by the contemporary endeavour to work with ‘Big Data’ (henceforth, BD) generated by governments and institutions. Alongside this, the notion of parity of esteem, broadly conceptualised as a mindset which places responsibility on society to think of the whole person, has emerged.
DOI Link: TBA
ISSN: 1477-7509
Links: TBA
http://hdl.handle.net/2381/45095
Embargo on file until: 1-Jan-10000
Version: Post-print
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2019, SAGE Publications (UK and US). Deposited with reference to the publisher’s open access archiving policy. (http://www.rioxx.net/licenses/all-rights-reserved)
Description: The file associated with this record is under embargo until publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.
Appears in Collections:Published Articles, Dept. of Sociology

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