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Published in: Systematic Reviews 1/2017

Open Access 01-12-2017 | Letter

Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms

Authors: Farhad Shokraneh, Clive E. Adams

Published in: Systematic Reviews | Issue 1/2017

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Abstract

Data extraction is one of the most time-consuming tasks in performing a systematic review. Extraction is often onto some sort of form. Sharing completed forms can be used to check quality and accuracy of extraction or for re-cycling data to other researchers for updating. However, validating each piece of extracted data is time-consuming and linking to source problematic.
In this methodology paper, we summarize three methods for reporting the location of data in original full-text reports, comparing their advantages and disadvantages.
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Literature
7.
go back to reference Hughes J, Brailsford DF, Bagley SR, Adams CE. Generating summary documents for a variable-quality PDF document collection. Proceedings of the 2014 ACM symposium on Document engineering; Fort Collins, Colorado, USA. 2644892: ACM; 2014. p. 49–52. Hughes J, Brailsford DF, Bagley SR, Adams CE. Generating summary documents for a variable-quality PDF document collection. Proceedings of the 2014 ACM symposium on Document engineering; Fort Collins, Colorado, USA. 2644892: ACM; 2014. p. 49–52.
Metadata
Title
Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
Authors
Farhad Shokraneh
Clive E. Adams
Publication date
01-12-2017
Publisher
BioMed Central
Published in
Systematic Reviews / Issue 1/2017
Electronic ISSN: 2046-4053
DOI
https://doi.org/10.1186/s13643-017-0546-z

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