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Data cleaning and management protocols for linked perinatal research data: a good practice example from the Smoking MUMS (Maternal Use of Medications and Safety) Study

Contributed equally
BMC Medical Research MethodologyBMC series – open, inclusive and trusted201717:97

Received: 15 March 2017

Accepted: 30 June 2017

Published: 11 July 2017

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Open Peer Review reports

Pre-publication versions of this article are available by contacting

Original Submission
15 Mar 2017 Submitted Original manuscript
19 Apr 2017 Reviewed Reviewer Report - Irene Petersen
27 Apr 2017 Reviewed Reviewer Report - Lyn Colvin
13 May 2017 Reviewed Reviewer Report - Jason Lee Salemi
14 Jun 2017 Author responded Author comments - Duong Thuy Tran
Resubmission - Version 2
14 Jun 2017 Submitted Manuscript version 2
30 Jun 2017 Editorially accepted
11 Jul 2017 Article published 10.1186/s12874-017-0385-6

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting

You can find further information about the peer review system here.

Authors’ Affiliations

Centre for Big Data Research in Health, Faculty of Medicine, UNSW Sydney (The University of New South Wales), Sydney, Australia