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Introducing RAPTOR: RevMan Parsing Tool for Reviewers

BACKGROUND: Much effort is made to ensure Cochrane reviews are based on reliably extracted data. There is a commitment to wide access to these data—for novel processing and/or reuse—but delivering this access is problematic. AIM: To describe a proof-of-concept programme to extract, curate and struct...

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Autores principales: Schmidt, Lena, Shokraneh, Farhad, Steinhausen, Kirsten, Adams, Clive E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595567/
https://www.ncbi.nlm.nih.gov/pubmed/31242929
http://dx.doi.org/10.1186/s13643-019-1070-0
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author Schmidt, Lena
Shokraneh, Farhad
Steinhausen, Kirsten
Adams, Clive E.
author_facet Schmidt, Lena
Shokraneh, Farhad
Steinhausen, Kirsten
Adams, Clive E.
author_sort Schmidt, Lena
collection PubMed
description BACKGROUND: Much effort is made to ensure Cochrane reviews are based on reliably extracted data. There is a commitment to wide access to these data—for novel processing and/or reuse—but delivering this access is problematic. AIM: To describe a proof-of-concept programme to extract, curate and structure data from Cochrane reviews. METHODS: One student of Applied Sciences (16 weeks full time), access to pre-publication review files and use of ‘Eclipse’ to create an open-access tool (RAPTOR) using the programming language Java. RESULTS: The final software batch processes hundreds of reviews in seconds, extracting all study data and automatically tidying and unifying presentation of data for return into the source review, reuse, or export for novel analyses. CONCLUSIONS: This software, despite being limited, illustrates how the efforts of reviewers meticulously extracting study data can be improved, disseminated and reused with little additional effort.
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spelling pubmed-65955672019-08-07 Introducing RAPTOR: RevMan Parsing Tool for Reviewers Schmidt, Lena Shokraneh, Farhad Steinhausen, Kirsten Adams, Clive E. Syst Rev Letter BACKGROUND: Much effort is made to ensure Cochrane reviews are based on reliably extracted data. There is a commitment to wide access to these data—for novel processing and/or reuse—but delivering this access is problematic. AIM: To describe a proof-of-concept programme to extract, curate and structure data from Cochrane reviews. METHODS: One student of Applied Sciences (16 weeks full time), access to pre-publication review files and use of ‘Eclipse’ to create an open-access tool (RAPTOR) using the programming language Java. RESULTS: The final software batch processes hundreds of reviews in seconds, extracting all study data and automatically tidying and unifying presentation of data for return into the source review, reuse, or export for novel analyses. CONCLUSIONS: This software, despite being limited, illustrates how the efforts of reviewers meticulously extracting study data can be improved, disseminated and reused with little additional effort. BioMed Central 2019-06-26 /pmc/articles/PMC6595567/ /pubmed/31242929 http://dx.doi.org/10.1186/s13643-019-1070-0 Text en © The Author(s). 2019 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
Schmidt, Lena
Shokraneh, Farhad
Steinhausen, Kirsten
Adams, Clive E.
Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title_full Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title_fullStr Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title_full_unstemmed Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title_short Introducing RAPTOR: RevMan Parsing Tool for Reviewers
title_sort introducing raptor: revman parsing tool for reviewers
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595567/
https://www.ncbi.nlm.nih.gov/pubmed/31242929
http://dx.doi.org/10.1186/s13643-019-1070-0
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