cgspace-notes/content/posts/2024-04.md

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April, 2024 2024-04-04T10:23:00+03:00 Alan Orth
Notes

2024-04-04

  • Work on CGSpace duplicate DOIs more

2024-04-08

  • Start working on IFPRI's 2022 batch import
    • I ran the duplicate checker against CGSpace and started downloading all linked PDFs

2024-04-09

  • Continue working on IFPRI's 2022 batch import
    • I started validating the potential duplicates in OpenRefine

2024-04-12

  • Finish working on the 650 IFPRI 2022 records that were not already on CGSpace, then uploaded them
    • I need to merge the metadata for the remaining 212 that are already on CGSpace
  • Spend some time looking at duplicate DOIs again...

2024-04-13

  • Spend some time looking at duplicate DOIs again...

2024-04-14

  • Spend some time looking at duplicate DOIs again...

2024-04-15

$ time curl -s -o /dev/null 'https://cgspace.cgiar.org/server/api/discover/search/objects?query=cg.identifier.project%3AIFPRI*&scope=8f1e9650-fe87-4e6e-889a-1cacfb747408&page=0&size=100&embed=thumbnail,bundles/bitstreams&sort=dcterms.issued,desc'
curl -s -o /dev/null   0.01s user 0.01s system 0% cpu 47.515 total
$ time curl -s -o /dev/null 'https://cgspace.cgiar.org/server/api/discover/search/objects?query=cg.identifier.project%3AIFPRI*&scope=8f1e9650-fe87-4e6e-889a-1cacfb747408&page=0&size=100&sort=dcterms.issued,desc'
curl -s -o /dev/null   0.01s user 0.01s system 0% cpu 4.764 total
  • Finalize processing the remaining 206 items from the IFPRI 2022 batch set that already existed on CGSpace
    • I merged metadata with the existing items
    • There are still six remaining items that I identified as being duplicates (3x2) in the IFPRI set itself

2024-04-16

  • Spend some time looking at duplicate DOIs again...
  • Assist Deborah with an advanced query on CGSpace for biodiversity and health:
dcterms.issued:[2010 TO 2024] AND dcterms.type:"Journal Article" AND (dc.title:"biodiversity" OR dcterms.subject:"biodiversity" OR dc.title:"health" OR dcterms.subject:"health")
  • Remove CIMMYT URLs and citations from 277 journal articles on CGSpace since it is a bit tacky
import urllib2

doi = cells['cg.identifier.doi[en_US]'].value
url = "https://api.crossref.org/works/" + doi + "/transform/text/x-bibliography"
useragent = "Python (mailto:a.o@cgiar.org)"

request = urllib2.Request(url.encode("utf-8"), headers={"User-Agent" : useragent})
get = urllib2.urlopen(request)

return get.read().decode('utf-8')
  • It took ten or so minutes for it to finish (and note this is Python 2 inside OpenRefine so I had to be careful with Unicode), but worked well!

2024-04-18

  • Write a SQL query to build the IFPRI CONTENTdm redirects to Handles:
SELECT m.text_value, h.handle FROM metadatavalue m JOIN handle h on m.dspace_object_id = h.resource_id WHERE m.metadata_field_id=28 AND m.text_value LIKE 'Original URL%' AND h.resource_type_id=2;
  • Similarly, I need a SQL query to get the redirects for duplicate Handles, querying for dcterms.replaces:
SELECT m.text_value AS handle_from, h.handle AS handle_to FROM metadatavalue m JOIN handle h on m.dspace_object_id = h.resource_id WHERE m.metadata_field_id=181 AND h.resource_type_id=2;
  • Then I can work that list into an nginx map with redirect, for example:
server {
...

    if ($new_uri) {
        return 301 $new_uri;
    }
}

map $request_uri $new_uri {
    /handle/10568/112821 /handle/10568/97605;
}

2024-04-19

  • Spend some time looking at duplicate DOIs again...
  • Refresh ORCID identifiers from ORCID API and update CGSpace metadata and controlled vocabulary

2024-04-20

localhost/dspace7= ☘ \COPY (SELECT DISTINCT(text_value) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id=220 AND text_value IS NOT NULL AND text_value !='') TO /tmp/dois-sql-before.txt;
COPY 25675
localhost/dspace7= ☘ \COPY (SELECT DISTINCT(lower(text_value)) FROM metadatavalue WHERE dspace_object_id IN (SELECT uuid FROM item) AND metadata_field_id=220 AND text_value IS NOT NULL AND text_value !='') TO /tmp/dois-sql-after.txt;
COPY 25666
  • I need to investigate options for lower casing these in the repository, for example in a curation task, and in all workflows around DSpace metadata...

2024-04-23

  • Spent some time writing a Java curation task to normalize DOIs in items when they enter the workflow edit step
    • The workflow curation tasks are not documented very well but I got a basic configuration working
    • I found a bug in DSpace curation tasks and discussed on Slack
    • I finalized the NormalizeDOIs curation task and released v7.6.1.1 of the cgspace-java-helpers project

2024-04-24

  • A bit more testing of the curation tasks
    • I tested a patch by Mark Wood
  • I added support for normalizing DOIs to this same format to my csv-metadata-quality project

2024-04-25

  • I lowercased the remaining 3,900 DOIs on CGSpace that had uppercase ASCII characters
  • Spend some time looking at duplicate DOIs again...

2024-04-26

  • Spend some time looking at duplicate DOIs again...

2024-04-29

  • Start working on the IFPRI 20202021 batch migration
    • I modified my check_duplicates.py script to check for DOIs instead of titles, and use a similarity of 1.0 to make sure the match is exact
  • I noticed something in the Tomcat log:
tomcat9[690]: WARNING: The HTTP response header [Content-Disposition] with value [attachment; filename="Literature review on Womens Empowerment and their Resilience2.pdf"] has been removed from the response because it is invalid
tomcat9[690]: java.lang.IllegalArgumentException: The Unicode character [] at code point [8,217] cannot be encoded as it is outside the permitted range of 0 to 255
  • I found the bitstream's ID and then used the ds6_bitstream2itemhandle SQL helper function to find the item's handle
    • Then I replaced the curly quote with a regular quote in all bistreams