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<p>The files contained in this project can be used to re-create the analyses for the article "Improving Data Access Democratizes and Diversifies Science".</p> <p>The whole folder can be downloaded as a zip-file.</p> <p>The code folder (named 'scripts') contains the following Stata do files, R scripts, and Python scripts:</p> <ul> <li><a href="http://main.do" rel="nofollow">main.do</a> (with a corresponding set of ado files)</li> <li>landsat_dist.R</li> <li>word_analysis.R</li> <li><a href="http://geoparse.py" rel="nofollow">geoparse.py</a></li> <li><a href="http://get_pid.py" rel="nofollow">get_pid.py</a></li> </ul> <p>The <a href="http://main.do" rel="nofollow">main.do</a> Stata file provides the road-map for the paper's analyses (and for reproduction). Please refer to this do-file for guidance on the proper order to run the Stata, R, and Python programs. </p> <p><strong><em>Important note</em></strong>: the <a href="http://main.do" rel="nofollow">main.do</a> file cannot be run all at once. The programs must be run sequentially, and there are notes in the <a href="http://main.do" rel="nofollow">main.do</a> file that indicate when the R and Python scripts must be run before continuing with the following Stata programs.</p> <p>The raw data needed to run all the analyses can be found in the 'rawdata' folder.</p> <p>The 'filedata' and 'tables' folders are empty, but provide the folder structure where the intermediate data and final output (i.e. tables and figures) of the paper will be saved.</p>
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