Quantitative Assessment of G7's Collaboration in Sustainable Development Goals
<div> </div> <p><strong>Authors</strong>: Kai Liu <sup>[1]</sup>, Ali Raisolsadat (<a href="mailto:arraisolsadat@uwaterloo.ca">arraisolsadat@uwaterloo.ca</a>) <sup>[2]</sup>, Xander Wang (<a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a>) <sup>[3,4]</sup>, and Quan Van Dau (<a href="mailto:vdau@upei.ca">vdau@upei.ca</a>) <sup>[3,4]</sup></p> <p><strong>Institutions</strong>:</p> <ol> <li>School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> <li>Faculty of Mathematics, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1</li> <li>Canadian Centre for Climate Change and Adaptation, University of Prince Edward Island, St. Peter's Bay, Prince Edward Island, Canada C0A 2A0</li> <li>School of Climate Change and Adaptation, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada C1A 4P3</li> </ol> <p><strong>Corresponding Author</strong>: Dr. Xander Wang<br><strong>Contact Information</strong>: <a href="mailto:xxwang@upei.ca">xxwang@upei.ca</a></p> <div> <h2>Repository Contents</h2> </div> <p>This repository contains the code and data for the project titled "Quantitative Assessment of G7's Collaboration in Sustainable Development Goals".</p> <div> <h2>Information about the Folders</h2> </div> <ul> <li><strong><code>sdg_raw_data</code></strong>: Contains the raw Sustainable Development Goals indicator data from the "Our World in Data" database.</li> <li><strong><code>sdg_grouped_raw_data</code></strong>: Contains the raw SDG indicator data, but grouped for each goal (1-15).</li> <li><strong><code>results_datasets</code></strong>: Contains the main results for Domestic Changes, Foreign Changes, and Synergy data in <code>.CSV</code> and <code>.RData</code> formats.</li> <li><strong><code>main_manuscript_figures</code></strong>: Contains the 5 main figures used in the manuscript text.</li> <li><strong><code>s1_s12_supplementary_figures</code></strong>: Contains the 12 figures from the supplementary material of the manuscript.</li> <li><strong><code>partial_true_direction_un.csv</code></strong>: Contains the indicator directions from Table 1 of the manuscript.</li> <li><strong><code>SDG_Data.xlsx</code></strong>: An Excel file which contains all the data used in the manuscript results in multiple sheets, including SDG raw data and results datasets.</li> </ul> <div> <h2>Prerequisites</h2> </div> <ul> <li><strong>R</strong>: Please ensure that you have installed the latest version of the R software for your device. You can download it from <a href="https://cran.r-project.org/" rel="nofollow">CRAN</a>.</li> <li><strong>RStudio</strong>: It is recommended to use RStudio for running the R scripts. You can download it from <a href="https://rstudio.com/products/rstudio/download/" rel="nofollow">RStudio's official website</a>.</li> </ul> <div> <h2>How to Run</h2> </div> <ol> <li><strong>Download <a href="../api/records/11659806/draft/files/Synergy-2024-1.0.0.zip/content" target="_blank" rel="noopener noreferrer">Synergy-2024-1.0.0.zip</a> to your local computer and unzip it</strong></li> <li> <p><strong>Set the directory to the unzipped folder</strong></p> </li> <li><strong>Set the R working directory to the unzipped folder</strong></li> <li> <p><strong>Run Main Code</strong>:</p> <ul> <li>Open and run the <code>gross_synergy_markdown.Rmd</code> file. This is the main code for our manuscript.</li> <li>The resulting datasets will be saved in the <code>results_datasets</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 1</strong>:</p> <ul> <li>Open and run <code>figure_1.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 2</strong>:</p> <ul> <li>Open and run <code>figure_2.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> <p><strong>Generate Figure 3</strong>:</p> <ul> <li>Open and run <code>figure_3.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> <li> <p><strong>Generate Figure 4</strong>:</p> <ul> <li>Open and run <code>figure_4.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> and <code>s1_s12_supplementary_figures</code> folders, respectively.</li> </ul> </li> <li> <p><strong>Generate Figure 5</strong>:</p> <ul> <li>Open and run <code>figure_5.R</code>.</li> <li>The resulting figure will be saved in the <code>main_manuscript_figures</code> folder.</li> </ul> </li> </ol>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0