<li>Add new CRP subject “GRAIN LEGUMES AND DRYLAND CEREALS” to <code>input-forms.xml</code> (<ahref="https://github.com/ilri/DSpace/pull/358">#358</a>)</li>
<li>Merge the ORCID integration stuff in to <code>5_x-prod</code> for deployment on CGSpace soon (<ahref="https://github.com/ilri/DSpace/pull/359">#359</a>)</li>
<li>Deploy ORCID changes on CGSpace (linode18), run all system updates, and reboot the server</li>
<li>Run all system updates on DSpace Test and reboot server</li>
<li>I ran the <ahref="https://gist.github.com/alanorth/24d8081a5dc25e2a4e27e548e7e2389c">orcid-authority-to-item.py</a> script on CGSpace and mapped 2,864 ORCID identifiers from Solr to item metadata</li>
<li><p>Apply the proposed PostgreSQL indexes from DS-3636 (pull request <ahref="https://github.com/DSpace/DSpace/pull/1791/">#1791</a> on CGSpace (linode18)</p></li>
<li>Looking at a CSV dump of the CIAT community I see there are tons of stupid text languages people add for their metadata</li>
<li>This makes the CSV have tons of columns, for example <code>dc.title</code>, <code>dc.title[]</code>, <code>dc.title[en]</code>, <code>dc.title[eng]</code>, <code>dc.title[en_US]</code> and so on!</li>
<li>I think I can fix—or at least normalize—them in the database:</li>
</ul>
<pre><code>dspace=# select distinct text_lang from metadatavalue where resource_type_id=2;
text_lang
-----------
ethnob
en
spa
EN
En
en_
en_US
E.
EN_US
en_U
eng
fr
es_ES
es
(16 rows)
dspace=# update metadatavalue set text_lang='en_US' where resource_type_id=2 and text_lang in ('en','EN','En','en_','EN_US','en_U','eng');
UPDATE 122227
dspacetest=# select distinct text_lang from metadatavalue where resource_type_id=2;
<li>On second inspection it looks like <code>dc.description.provenance</code> fields use the text_lang “en” so that’s probably why there are over 100,000 fields changed…</li>
<li>If I skip that, there are about 2,000, which seems more reasonably like the amount of fields users have edited manually, or fucked up during CSV import, etc:</li>
</ul>
<pre><code>dspace=# update metadatavalue set text_lang='en_US' where resource_type_id=2 and text_lang in ('EN','En','en_','EN_US','en_U','eng');
<li>In other news, I was playing with adding ORCID identifiers to a dump of CIAT’s community via CSV in OpenRefine</li>
<li>Using a series of filters, flags, and GREL expressions to isolate items for a certain author, I figured out how to add ORCID identifiers to the <code>cg.creator.id</code> field</li>
<li>For example, a GREL expression in a custom text facet to get all items with <code>dc.contributor.author[en_US]</code> of a certain author with several name variations (this is how you use a logical OR in OpenRefine):</li>
<li>Then you can flag or star matching items and then use a conditional to either set the value directly or add it to an existing value:</li>
</ul>
<pre><code>if(isBlank(value), "Hernan Ceballos: 0000-0002-8744-7918", value + "||Hernan Ceballos: 0000-0002-8744-7918")
</code></pre>
<ul>
<li>One thing that bothers me is that this won’t honor author order</li>
<li>It might be better to do batches of these in PostgreSQL with a script that takes the <code>place</code> column of an author into account when setting the <code>cg.creator.id</code></li>
<li>I wrote a Python script to read the author names and ORCID identifiers from CSV and create matching <code>cg.creator.id</code> fieldsa: <ahref="https://gist.github.com/alanorth/a49d85cd9c5dea89cddbe809813a7050">add-orcid-identifiers-csv.py </a></li>
<li>The CSV should have two columns: author name and ORCID identifier:</li>
</ul>
<pre><code>dc.contributor.author,cg.creator.id
"Orth, Alan",Alan S. Orth: 0000-0002-1735-7458
"Orth, A.",Alan S. Orth: 0000-0002-1735-7458
</code></pre>
<ul>
<li>I didn’t integrate the ORCID API lookup for author names in this script for now because I was only interested in “tagging” old items for a few given authors</li>
