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Published in: Social Psychiatry and Psychiatric Epidemiology 2/2017

01-02-2017 | Commentary (INVITED)

Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities”

Authors: Jonathan D. Hafferty, Daniel J. Smith, Andrew M. McIntosh

Published in: Social Psychiatry and Psychiatric Epidemiology | Issue 2/2017

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Excerpt

Recent years have witnessed a revolution in data science and ‘big data’ into which psychiatric research has also being drawn. ‘Big data’ has been defined as data sets which are so large in size, so fast to change, and so complex in structure that traditional data processing techniques are overwhelmed [1]. The mining and exploitation of such big data resources as Electronic Healthcare Records (EHRs) present an exciting challenge to the field of psychiatric epidemiology. The number of big data projects within psychiatric research is growing, and Stewart and Davis’s literature review is, therefore, timely [2]. …
Literature
1.
go back to reference Andreu-Perez J, Poon CC, Merrifield RD, Wong ST, Yang GZ (2015) Big data for health. IEEE J Biomed Health Inform 19(4):1193–1208CrossRefPubMed Andreu-Perez J, Poon CC, Merrifield RD, Wong ST, Yang GZ (2015) Big data for health. IEEE J Biomed Health Inform 19(4):1193–1208CrossRefPubMed
2.
go back to reference Stewart R, Davis K (2016) ‘Big data’ in mental health research : current status and emerging possibilities. Soc Psychiatry Psychiatr Epidemiol 8:1055–1072CrossRef Stewart R, Davis K (2016) ‘Big data’ in mental health research : current status and emerging possibilities. Soc Psychiatry Psychiatr Epidemiol 8:1055–1072CrossRef
3.
go back to reference Harpe SE (2009) Using secondary data sources for pharmacoepidemiology and outcomes research. Pharmacotherapy 2:138–153CrossRef Harpe SE (2009) Using secondary data sources for pharmacoepidemiology and outcomes research. Pharmacotherapy 2:138–153CrossRef
4.
go back to reference Laney D. (2011) 3D data management: Controlling data volume, velocity and variety. Meta Group Inc., Stamford, CT, USA, Tech. Rep. 949 Laney D. (2011) 3D data management: Controlling data volume, velocity and variety. Meta Group Inc., Stamford, CT, USA, Tech. Rep. 949
5.
go back to reference Lazer D, Kennedy R, King G, Vespignani A (2014) Big data. The parable of Google Flu: traps in big data analysis. Science 343(6176):1203–1205CrossRefPubMed Lazer D, Kennedy R, King G, Vespignani A (2014) Big data. The parable of Google Flu: traps in big data analysis. Science 343(6176):1203–1205CrossRefPubMed
7.
go back to reference Mittelstadt BD, Floridi L (2016) The ethics of big data: current and foreseeable issues in biomedical contexts. Sci Eng Ethics 22(2):303–341CrossRefPubMed Mittelstadt BD, Floridi L (2016) The ethics of big data: current and foreseeable issues in biomedical contexts. Sci Eng Ethics 22(2):303–341CrossRefPubMed
9.
10.
go back to reference Perera G, Broadbent M, Callard F, Chang CK, Downs J, Dutta R, Fernandes A, Hayes RD, Henderson M, Jackson R, Jewell A, Kadra G, Little R, Pritchard M, Shetty H, Tulloch A, Stewart R (2016) Cohort profile of the South London and Mausley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open 6(3):e008721CrossRefPubMedPubMedCentral Perera G, Broadbent M, Callard F, Chang CK, Downs J, Dutta R, Fernandes A, Hayes RD, Henderson M, Jackson R, Jewell A, Kadra G, Little R, Pritchard M, Shetty H, Tulloch A, Stewart R (2016) Cohort profile of the South London and Mausley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open 6(3):e008721CrossRefPubMedPubMedCentral
Metadata
Title
Invited Commentary on Stewart and Davis “ ‘Big data’ in mental health research—current status and emerging possibilities”
Authors
Jonathan D. Hafferty
Daniel J. Smith
Andrew M. McIntosh
Publication date
01-02-2017
Publisher
Springer Berlin Heidelberg
Published in
Social Psychiatry and Psychiatric Epidemiology / Issue 2/2017
Print ISSN: 0933-7954
Electronic ISSN: 1433-9285
DOI
https://doi.org/10.1007/s00127-016-1294-4

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