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!