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Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’

This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, descriptive addressing, and Cartesian coordinate system. W...

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Detalles Bibliográficos
Autores principales: Jap, Jens, Saldanha, Ian J., Smith, Bryant T., Lau, Joseph, Li, Tianjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5784663/
https://www.ncbi.nlm.nih.gov/pubmed/29368631
http://dx.doi.org/10.1186/s13643-018-0677-x
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author Jap, Jens
Saldanha, Ian J.
Smith, Bryant T.
Lau, Joseph
Li, Tianjing
author_facet Jap, Jens
Saldanha, Ian J.
Smith, Bryant T.
Lau, Joseph
Li, Tianjing
author_sort Jap, Jens
collection PubMed
description This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, descriptive addressing, and Cartesian coordinate system. While we agree with the categorization of the techniques, we disagree with the authors’ statement that descriptive addressing is a PDF-independent method, i.e., any sort of descriptive addressing must reference a specific version of PDF file and not just any PDF of said report. Different versions of PDFs of the same report might place text and tables on different locations of the same page and/or on different pages. Consequently, it is our opinion that any kind of source location information should be accompanied by the source or linked by an intermediary service such as the Data Abstraction Assistant (DAA).
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spelling pubmed-57846632018-02-07 Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’ Jap, Jens Saldanha, Ian J. Smith, Bryant T. Lau, Joseph Li, Tianjing Syst Rev Letter This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, descriptive addressing, and Cartesian coordinate system. While we agree with the categorization of the techniques, we disagree with the authors’ statement that descriptive addressing is a PDF-independent method, i.e., any sort of descriptive addressing must reference a specific version of PDF file and not just any PDF of said report. Different versions of PDFs of the same report might place text and tables on different locations of the same page and/or on different pages. Consequently, it is our opinion that any kind of source location information should be accompanied by the source or linked by an intermediary service such as the Data Abstraction Assistant (DAA). BioMed Central 2018-01-25 /pmc/articles/PMC5784663/ /pubmed/29368631 http://dx.doi.org/10.1186/s13643-018-0677-x Text en © The Author(s). 2018 Open Access This 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
Jap, Jens
Saldanha, Ian J.
Smith, Bryant T.
Lau, Joseph
Li, Tianjing
Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title_full Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title_fullStr Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title_full_unstemmed Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title_short Response to ‘Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms’
title_sort response to ‘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/PMC5784663/
https://www.ncbi.nlm.nih.gov/pubmed/29368631
http://dx.doi.org/10.1186/s13643-018-0677-x
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