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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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). |
format | Online Article Text |
id | pubmed-5784663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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