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

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 pi...

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Detalles Bibliográficos
Autores principales: Shokraneh, Farhad, Adams, Clive E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544999/
https://www.ncbi.nlm.nih.gov/pubmed/28778216
http://dx.doi.org/10.1186/s13643-017-0546-z
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author Shokraneh, Farhad
Adams, Clive E.
author_facet Shokraneh, Farhad
Adams, Clive E.
author_sort Shokraneh, Farhad
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0546-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-55449992017-08-07 Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms Shokraneh, Farhad Adams, Clive E. Syst Rev Letter 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0546-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-04 /pmc/articles/PMC5544999/ /pubmed/28778216 http://dx.doi.org/10.1186/s13643-017-0546-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Letter
Shokraneh, Farhad
Adams, Clive E.
Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title_full Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title_fullStr Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title_full_unstemmed Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title_short Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
title_sort increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544999/
https://www.ncbi.nlm.nih.gov/pubmed/28778216
http://dx.doi.org/10.1186/s13643-017-0546-z
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