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.