cc_search_methods

This repository contains the data, code and outputs for the project "Searching and reporting in Campbell Collaboration systematic reviews: An assessment of current methods"

https://github.com/rootsandberries/cc_search_methods

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (9.5%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

This repository contains the data, code and outputs for the project "Searching and reporting in Campbell Collaboration systematic reviews: An assessment of current methods"

Basic Info
  • Host: GitHub
  • Owner: rootsandberries
  • License: mit
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 6.55 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

Searching and reporting in Campbell Collaboration systematic reviews: An assessment of current methods

We assessed the search reporting and conduct of Campbell Collaboration systematic reviews since 2017. This repository provides the R code, datasets and outputs associated with this project. The protocol for this project can be found at https://doi.org/10.1002/cl2.1208.

Contents

Project Structure

The repository contains five R script files and the original cleaned and recoded dataset. The Data Outputs directory includes intermediate datasets that are needed to generate supplementary tables and to assess reference management software usage from an unstructured data field. The plots directory contains all of the plots and tables included in the manuscript that were generated in R.

Scripts

  1. ccmethodspart1_sources.R: This script provides the code used to generate the plots and statistics related to source selection and reporting.
  2. ccmethodspart2_search.R: This script provides the code used to generate the plots and statistics related to search reporting and conduct.
  3. ccmethodspart3_supp.R: This script provides the code used to generate the plots and statistics related to supplementary search methods.
  4. ccmethodspart4_is.R: This script provides the code used to generate the plots and statistics related to information specialist involvement.
  5. ccmethodspart5_other.R: This script provides the code used to generate the plots and statistics related to the other considerations section including information management and timeliness of the search.

Data

  1. CC-methods-data-extraction-final-20240508-clean-recode.csv
    This is the dataset. It contains the extracted data from all included studies in the assessment (n=111). For more details about variable names and the complete data extraction tool, see the final manuscript. This file is used with the scripts above to generate the plots and tables.
  2. Data Extraction Form Items and Variable Names.xlsx This file contains the items included in the data extraction and the associated variable names that appear in the dataset.

Data outputs

  1. ccmethodsisinvolveconduct_table.csv: This .csv file is used to generate the Supplmentary table indicating the role of information specialist involvment in search conduct.
  2. ccmethodsisinvolvereport_table.csv: This .csv file is used to generate the Supplmentary table indicating the role of information specialist involvment in search reporting.
  3. refman_software.csv: This .csv file contains the refmansoftwaretext column from the main dataset for a subset of the data that reported something about reference management software for information management. This is used to manually identify specific software used in the review.
  4. refmansoftwareclean.csv: This .csv file contains the manually extracted information about specific reference management software used for information management in the subset of reviews that reported this.

Plots

This directory contains all plots and tables reported in the manuscript generated with R. File names contain the Figure number associated with the final manuscript.

Owner

  • Name: Sarah Young
  • Login: rootsandberries
  • Kind: user
  • Location: Pittsburgh, PA
  • Company: Carnegie Mellon University

Citation (CITATION.cff)

cff-version: 1.0
message: "If you use this data or code, please cite it as below."
authors:
  - family-names: Young
    given-names: Sarah
    orcid: https://orcid.org/0000-0002-8301-5106
title: "Code and data for Searching and reporting in Campbell Collaboration systematic reviews: An assessment of current methods"
date-released: 2024-02-27

GitHub Events

Total
Last Year