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Fix some incorrect regions on CGSpace

I exported the CCAFS and IITA communities, extracted just the country and region columns, then ran them through csv-metadata-quality to fix the regions


Add a few more authors to my CSV with author names and ORCID identifiers and tag 283 items!
Replace &ldquo;East Asia&rdquo; with &ldquo;Eastern Asia&rdquo; region on CGSpace (UN M.49 region)
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Fix some incorrect regions on CGSpace

I exported the CCAFS and IITA communities, extracted just the country and region columns, then ran them through csv-metadata-quality to fix the regions


Add a few more authors to my CSV with author names and ORCID identifiers and tag 283 items!
Replace &ldquo;East Asia&rdquo; with &ldquo;Eastern Asia&rdquo; region on CGSpace (UN M.49 region)
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    <h2 class="blog-post-title" dir="auto"><a href="https://alanorth.github.io/cgspace-notes/2022-12/">December, 2022</a></h2>
    <p class="blog-post-meta">
<time datetime="2022-12-01T08:52:36+03:00">Thu Dec 01, 2022</time>
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<span class="fas fa-folder" aria-hidden="true"></span>&nbsp;<a href="/categories/notes/" rel="category tag">Notes</a>


</p>
  </header>
  <h2 id="2022-12-01">2022-12-01</h2>
<ul>
<li>Fix some incorrect regions on CGSpace
<ul>
<li>I exported the CCAFS and IITA communities, extracted just the country and region columns, then ran them through csv-metadata-quality to fix the regions</li>
</ul>
</li>
<li>Add a few more authors to my CSV with author names and ORCID identifiers and tag 283 items!</li>
<li>Replace &ldquo;East Asia&rdquo; with &ldquo;Eastern Asia&rdquo; region on CGSpace (UN M.49 region)</li>
</ul>
<ul>
<li>CGSpace and PRMS information session with Enrico and a bunch of researchers</li>
<li>I noticed some minor issues with SPDX licenses and AGROVOC terms in items submitted by TIP so I sent a message to Daniel from Alliance</li>
<li>I startd a harvest on AReS since we&rsquo;ve updated so much metadata recently</li>
</ul>
<h2 id="2022-12-02">2022-12-02</h2>
<ul>
<li>File some issues related to metadata on the MEL issue tracker
<ul>
<li><a href="https://github.com/CodeObia/MEL/issues/11066">Only use &ldquo;Open Access&rdquo; or &ldquo;Limited Access&rdquo; access rights when publishing items on CGSpace</a></li>
<li><a href="https://github.com/CodeObia/MEL/issues/11067">Set the description when submitting bitstreams to CGSpace</a></li>
<li><a href="https://github.com/CodeObia/MEL/issues/11068">Some items have a Creative Commons license, but are Limited Access and bitstreams are locked</a></li>
</ul>
</li>
</ul>
<h2 id="2022-12-03">2022-12-03</h2>
<ul>
<li>I downloaded a fresh copy of CLARISA&rsquo;s institutions list as well as ROR&rsquo;s latest dump from 2022-12-01 to check how many are matching:</li>
</ul>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-console" data-lang="console"><span style="display:flex;"><span>$ curl -s https://api.clarisa.cgiar.org/api/institutions | json_pp &gt; ~/Downloads/2022-12-03-CLARISA-institutions.json
</span></span><span style="display:flex;"><span>$ jq -r <span style="color:#e6db74">&#39;.[] | .name&#39;</span> ~/Downloads/2022-12-03-CLARISA-institutions.json &gt; ~/Downloads/2022-12-03-CLARISA-institutions.txt
</span></span><span style="display:flex;"><span>$ ./ilri/ror-lookup.py -i ~/Downloads/2022-12-03-CLARISA-institutions.txt -o /tmp/clarisa-ror-matches.csv -r v1.15-2022-12-01-ror-data.json
</span></span><span style="display:flex;"><span>$ csvgrep -c matched -m true /tmp/clarisa-ror-matches.csv | wc -l
</span></span><span style="display:flex;"><span>1864
</span></span><span style="display:flex;"><span>$ wc -l ~/Downloads/2022-12-03-CLARISA-institutions.txt
</span></span><span style="display:flex;"><span>7060 /home/aorth/Downloads/2022-12-03-CLARISA-institutions.txt
</span></span></code></pre></div><ul>
<li>Out of the box they match 26.4%, but there are many institutions with multiple languages in the text value, as well as countries in parentheses so I think it could be higher</li>
<li>If I replace the slashes and remove the countries at the end there are slightly more matches, around 29%:</li>
</ul>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-console" data-lang="console"><span style="display:flex;"><span>$ sed -e <span style="color:#e6db74">&#39;s_ / _\n_&#39;</span> -e <span style="color:#e6db74">&#39;s_/_\n_&#39;</span> -e <span style="color:#e6db74">&#39;s/ \?(.*)$//&#39;</span> ~/Downloads/2022-12-03-CLARISA-institutions.txt &gt; ~/Downloads/2022-12-03-CLARISA-institutions-alan.txt
</span></span></code></pre></div><ul>
<li>I checked CGSpace&rsquo;s top 1,000 institutions too, first exporting from PostgreSQL:</li>
</ul>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-console" data-lang="console"><span style="display:flex;"><span>localhost/dspacetest= ☘ \COPY (SELECT DISTINCT text_value as &#34;cg.contributor.affiliation&#34;, count(*) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id = 211 GROUP BY text_value ORDER BY count DESC LIMIT 1000) to /tmp/2022-11-22-affiliations.csv;
</span></span></code></pre></div><ul>
<li>Then cutting (tab is the default delimeter):</li>
</ul>
<div class="highlight"><pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;"><code class="language-console" data-lang="console"><span style="display:flex;"><span>$ cut -f <span style="color:#ae81ff">1</span> /tmp/2022-11-22-affiliations.csv &gt; 2022-11-22-affiliations.txt
</span></span><span style="display:flex;"><span>$ ./ilri/ror-lookup.py -i 2022-11-22-affiliations.txt -o /tmp/cgspace-matches.csv -r v1.15-2022-12-01-ror-data.json
</span></span><span style="display:flex;"><span>$ csvgrep -c matched -m true /tmp/cgspace-matches.csv | wc -l
</span></span><span style="display:flex;"><span>542
</span></span></code></pre></div><ul>
<li>So that&rsquo;s a 54% match for our top institutions</li>
</ul>
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