Results: We found that the customised graphical data extraction tool is not inferior to users’ (N=10) prior standard practice.
#Graph data extractor pdf
We carried out a non-inferiority evaluation to examine its performance in comparison with participants’ standard practice for extracting data from graphs in PDF documents. This tool aims to facilitate more accurate and timely data extraction through a user interface which can be used to extract data through mouse clicks. Methods: To mitigate some of the above problems we integrated and customised two existing JavaScript libraries to create a new web-based graphical data extraction tool to assist reviewers in extracting data from graphs.
The extraction of statistical data from graphs in PDF files is particularly challenging, as the process is usually completely manual, and reviewers need sometimes to revert to holding a ruler against the page to read off values: an inherently time-consuming and error-prone process. To aid reliability, it is recommended that two researchers carry out data extraction independently. Fala Cramond, Conceptualization, Data Curation, Formal Analysis, Investigation, Methodology, Project Administration, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing, 1 Alison O'Mara-Eves, Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing, 2 Lee Doran-Constant, Software, Writing – Review & Editing, 3 Andrew SC Rice, Conceptualization, Formal Analysis, Funding Acquisition, Investigation, Methodology, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing, 1 Malcolm Macleod, Conceptualization, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing, 4 and James Thomas, Conceptualization, Data Curation, Formal Analysis, Funding Acquisition, Investigation, Methodology, Project Administration, Resources, Software, Supervision, Validation, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing a, 2īackground: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately.
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