The development and evaluation of an online application to assist in the extraction of data from graphs for use in systematic reviews.

ABSTRACT: Background: The extraction of data from the reports of primary studies, on which the results of systematic reviews depend, needs to be carried out accurately. To aid reliability, it is recommended that two researchers carry out data extraction independently. 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. 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. This tool aims to facili

SUBMITTER: Cramond F 

PROVIDER: S-EPMC6372928 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature