There are several Dublin Core Uses... but what are the models behind them? Are they the same? Are they different? If they are different then does this mean that Dublin Core is more like a brand name than a metadata standard?
While doing my Masters Thesis, I took a look at the contributor roles declared for various works. One thing I noticed is that even though Stuart McGill contributed two corpora to ELAR when these corpora get translated to OALC the translation mucks the metadata so that only one resource shows up with his name.
Django application to collect submitted DOIs, acquire their API provided metadata (Bibliographic metadata and citation graph metadata), allow limited (specified) annotation, and then make those records harvestable via OAI-PMH. Language Resource tagger—Adding a layer of language related metadata to published resources.
Some Django modules for OAI-PMH
https://github.com/saw-leipzig/foaipmh
https://github.com/jnphilipp/django_oai_pmh
https://pypi.org/user/jnphilipp/ his topic extraction module looks interesting.
Also look at the xsd schema here https://github.com/saw-leipzig/foaipmh/blob/5b15d5cc4700a3cccf497c47218c2fba6b3421d5/entrypoint.prod.sh#L5
Database Versioning
This depends on how the DB is set up. If we only have one record per item or one record per state... This needs more definition.
https://djangopackages.org/grids/g/versioning/
https://www.wpbeginner.com/beginners-guide/complete-guide-to-wordpress-post-revisions/
Form Builders
https://djangopackages.org/grids/g/form-builder/
Some Javascript tools for creating the specific forms needed:
https://github.com/HughP/dublin-core-generator
https://nsteffel.github.io/dublin_core_generator/generator.html
Markdown for documentation
https://neutronx.github.io/django-markdownx/
Bibtex
https://bibtexparser.readthedocs.io/en/master/
https://github.com/sciunto-org/python-bibtexparser
https://github.com/jnphilipp/bibliothek
https://github.com/lucastheis/django-publications <-- also check the network as "improvements" are all over the place.
Other names include:
* Babybib
* Pybtex
* Pybibliographer
ISSNs
ISSN.org is supposed to have an API.. but not sure if they do.
https://portal.issn.org/resource/ISSN/1904-0008
Any request to the portal may be automated thanks to the use of REST protocol. The download of results is also automated. This service is restricted to subscribing users. Please contact sales [at] issn.org for more information.
https://portal.issn.org/node/170
https://portal.issn.org/resource/ISSN/2549-5089#
https://portal.issn.org/resource/ISSN/2549-5089?format=json
We could also slurp the HTML for the sameAs links to other DBs if needed.
Views:
1. login with ORCID
2. query APIs (DOIs, ISBNs, ISSNs, ORCID, WikiData, etc.)
3. results display and annotation
4. submission
5. List of past submissions
6. update past submission screen (same as #3?)
If we ran a module like this:
https://pybliometrics.readthedocs.io/en/latest/classes/SerialTitle.html
Then we could take a reading on where the least spoken languages appear in the most highly ranked journals and determine if there was a bias or a loss to science.
Data Examples:
Have been moved to:
https://github.com/HughP/CrossRef-to-OLAC-data-examples
PDF Extraction:
https://levelup.gitconnected.com/scrap-data-from-website-and-pdf-document-for-django-app-fa8f37010085
https://towardsdatascience.com/how-to-extract-pdf-data-in-python-876e3d0c288
https://stackoverflow.com/questions/71850349/download-a-pdf-from-url-edit-it-an-render-it-in-django
https://stackoverflow.com/questions/48882768/django-reading-pdf-files-content
https://www.geeksforgeeks.org/working-with-pdf-files-in-python/
PDF Creation:
https://docs.djangoproject.com/en/4.1/howto/outputting-pdf/
https://jeltef.github.io/PyLaTeX/current/examples/header.html
If abstract is a sample of about-ness, then a table of contents is sample if is-ness. Some have said that journal articles should not have table of contents (instructional staff at the UNT program teaching the Metadata I course). I disagree, but so does Habing, et al (2001). Sometimes more than an abstract a table of contents can deliver a substantial understanding of what an article is and is about by displaying its structure. In fact many law review articles actually include a table of contents prior to the main part of the article. Law review articles can be over 70 pages in length. An outline offers useful information to the potential reader.
An example of an outline from a linguistics article.
Roberts, David. 2011. “A Tone Orthography Typology.” Written Language & Literacy 14 (1): 82–108. doi:10.1075/wll.14.1.05rob.
Introduction
The six parameters
2.1 First parameter: Domain
2.2 Second parameter: Target
2.2.1 Tones
2.2.2 Grammar
2.2.3 Lexicon
2.2.4 Dual strategies
2.3 Third parameter: Symbol
2.3.1 Phonographic representations
2.3.2 Semiographic representations
2.4 Fourth parameter: Position
2.5 Fifth parameter: Density
2.5.1 Introduction
2.5.2 Zero density
2.5.3 Partial density
2.5.4 Exhaustive density
2.6 Sixth parameter: Depth
2.6.1 Introduction
2.6.2 Surface representation
2.6.3 Deep representation
2.6.4 Shallow (transparent) representation
Thomas G. Habing, Timothy W. Cole, and William H. Mischo. 2001. Qualified Dublin Core using RDF for Sci-Tech Journal Articles. https://dli.grainger.uiuc.edu/Publications/metadatacasestudy/HabingDC2001.pdf
