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Data Integration Protocol In Ten-steps (DIPIT) : a new standard for medical researchers

Dipnall, Joanna Frith, Berk, Michael, Jacka, Felice, Williams, Lana, Dodd, Seetal and Pasco, Julie 2014, Data Integration Protocol In Ten-steps (DIPIT) : a new standard for medical researchers, Methods, vol. 69, no. 3, pp. 237-246, doi: 10.1016/j.ymeth.2014.07.001.

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Title Data Integration Protocol In Ten-steps (DIPIT) : a new standard for medical researchers
Author(s) Dipnall, Joanna FrithORCID iD for Dipnall, Joanna Frith orcid.org/0000-0002-5554-6946
Berk, MichaelORCID iD for Berk, Michael orcid.org/0000-0002-9825-0328
Jacka, FeliceORCID iD for Jacka, Felice orcid.org/0000-0002-1377-1272
Williams, LanaORCID iD for Williams, Lana orcid.org/0000-0002-7918-4636
Dodd, SeetalORCID iD for Dodd, Seetal orcid.org/0000-0002-8968-4714
Pasco, Julie
Journal name Methods
Volume number 69
Issue number 3
Start page 237
End page 246
Total pages 10
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2014-10-01
ISSN 1095-9130
Keyword(s) data aggregation
data integration
data linkage
data mining
merging
standard
science & technology
life sciences & biomedicine
biochemical research methods
biochemistry & molecular biology
biomedical data integration
multiple data sources
missing data
record linkage
health data
information
services
outcomes
trials
claims
Summary The exponential increase in data, computing power and the availability of readily accessible analytical software has allowed organisations around the world to leverage the benefits of integrating multiple heterogeneous data files for enterprise-level planning and decision making. Benefits from effective data integration to the health and medical research community include more trustworthy research, higher service quality, improved personnel efficiency, reduction of redundant tasks, facilitation of auditing and more timely, relevant and specific information. The costs of poor quality processes elevate the risk of erroneous outcomes, an erosion of confidence in the data and the organisations using these data. To date there are no documented set of standards for best practice integration of heterogeneous data files for research purposes. Therefore, the aim of this paper is to describe a set of clear protocol for data file integration (Data Integration Protocol In Ten-steps; DIPIT) translational to any field of research.
Language eng
DOI 10.1016/j.ymeth.2014.07.001
Field of Research 110319 Psychiatry (incl Psychotherapy)
111714 Mental Health
1103 Clinical Sciences
Socio Economic Objective 920410 Mental Health
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, Elsevier
Persistent URL http://hdl.handle.net/10536/DRO/DU:30067185

Document type: Journal Article
Collection: School of Medicine
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Created: Mon, 08 Dec 2014, 10:52:15 EST

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