Data from systematic audit for paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines

This upload contains 7 data files (each contains cleaned and compiled data for a given scientific field) and 2 R scripts. These files support the paper: Insights into the quantification and reporting of model-related uncertainty across different disciplines. Description of the data Compiled data files for each field contain all reviewers audit answers for eligible papers. All papers that met exclusion criteria have been removed. Data checks have been performed and formatting errors corrected either in R or manually, following steps detailed in the STAR methods. Column names and description: Number: number of question from 1 to 9 Questions: question text – question to be answered by the reviewer QuestionCode: shortened code for each question Paper: paper code - first author surname/initial and surname and year Initials: initials of reviewer Answer: answer to the question Details: extra details to support the answer Location: where in the text the uncertainty was presented Presentation: how the uncertainty was presented ModelType: type of model (focal model) Comments: any other comments from the reviewer Checks: checks of whether NA or no have been included in correct places e.g. if answers to questions 1:4 are no then question 9 is NA, if question 7 is no then 8 is NA Check 1 = when Answer = No, Location is NA Check 2 = when Answer to Number 1-4, 6 or 8-9 is Yes that Details are not NA Check 3 = when Answer = No, Presentation = NA Check 4 = when Location is not NA, presentation is not NA Check 5 = if the Answer to 5 or 7 is "No" then Answer to 6 and 8 = "NA" Check 6 = if Answer for 1-4 is "No", then Answer for 9 = "NA" Code description Two scripts are included, the first is theme_script.R, this includes code to set up a ggplot theme for the figures. The second is Figure_code.R, this script contains all code to plot and save the three figures from the paper.