67 lines
3.2 KiB
Markdown
67 lines
3.2 KiB
Markdown
---
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title: "December, 2022"
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date: 2022-12-01T08:52:36+03:00
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author: "Alan Orth"
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categories: ["Notes"]
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---
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## 2022-12-01
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- Fix some incorrect regions on CGSpace
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- 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
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- Add a few more authors to my CSV with author names and ORCID identifiers and tag 283 items!
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- Replace "East Asia" with "Eastern Asia" region on CGSpace (UN M.49 region)
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<!--more-->
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- CGSpace and PRMS information session with Enrico and a bunch of researchers
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- 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
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- I startd a harvest on AReS since we've updated so much metadata recently
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## 2022-12-02
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- File some issues related to metadata on the MEL issue tracker
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- [Only use "Open Access" or "Limited Access" access rights when publishing items on CGSpace](https://github.com/CodeObia/MEL/issues/11066)
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- [Set the description when submitting bitstreams to CGSpace](https://github.com/CodeObia/MEL/issues/11067)
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- [Some items have a Creative Commons license, but are Limited Access and bitstreams are locked](https://github.com/CodeObia/MEL/issues/11068)
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## 2022-12-03
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- I downloaded a fresh copy of CLARISA's institutions list as well as ROR's latest dump from 2022-12-01 to check how many are matching:
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```console
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$ curl -s https://api.clarisa.cgiar.org/api/institutions | json_pp > ~/Downloads/2022-12-03-CLARISA-institutions.json
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$ jq -r '.[] | .name' ~/Downloads/2022-12-03-CLARISA-institutions.json > ~/Downloads/2022-12-03-CLARISA-institutions.txt
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$ ./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
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$ csvgrep -c matched -m true /tmp/clarisa-ror-matches.csv | wc -l
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1864
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$ wc -l ~/Downloads/2022-12-03-CLARISA-institutions.txt
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7060 /home/aorth/Downloads/2022-12-03-CLARISA-institutions.txt
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```
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- 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
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- If I replace the slashes and remove the countries at the end there are slightly more matches, around 29%:
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```console
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$ sed -e 's_ / _\n_' -e 's_/_\n_' -e 's/ \?(.*)$//' ~/Downloads/2022-12-03-CLARISA-institutions.txt > ~/Downloads/2022-12-03-CLARISA-institutions-alan.txt
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```
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- I checked CGSpace's top 1,000 institutions too, first exporting from PostgreSQL:
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```console
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localhost/dspacetest= ☘ \COPY (SELECT DISTINCT text_value as "cg.contributor.affiliation", count(*) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id = 211 GROUP BY text_value ORDER BY count DESC LIMIT 1000) to /tmp/2022-11-22-affiliations.csv;
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```
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- Then cutting (tab is the default delimeter):
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```console
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$ cut -f 1 /tmp/2022-11-22-affiliations.csv > 2022-11-22-affiliations.txt
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$ ./ilri/ror-lookup.py -i 2022-11-22-affiliations.txt -o /tmp/cgspace-matches.csv -r v1.15-2022-12-01-ror-data.json
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$ csvgrep -c matched -m true /tmp/cgspace-matches.csv | wc -l
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542
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```
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- So that's a 54% match for our top institutions
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<!-- vim: set sw=2 ts=2: -->
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