This might be a way forward to an OAI-PMH repo: https://github.com/discourse/discourse-sitemap another option is to use a query mechanism in the JSON api to get all threads and treat these threads as resources for description. https://meta.discourse.org/t/discourse-rest-api-documentation/22706
I wonder how many layers a tag-group can have... https://docs.discourse.org/#tag/Tags/operation/updateTagGroup
This week we had a lecture on metadata interoperability. Interoperability is a major theme of Gary Simons work on OLAC. It was the keyword or concept that he used to push the social behavior requirements related to the activities around, in, and at language archives.
I think that across the history of OLAC there have been various understandings on the kinds of metadata needed to describe language resources. That is, discovery is the architectural goal of OLAC, but other requirements also exist. In the beginning of OLAC many of the participants were looking at OLAC for a complete solution to the kinds of metadata they should be collecting and using. The other requirements upon resource stewards have always meant additional fields in diverse institutional contexts. The freedom to explore these other requirements has not always been explored or embraced by stewards. Some have seen OLAC as an all or nothing involvement. Maybe the fear has been that there will be divergence from a communal norm.
However, my perspective is that it is quite normal for each institution to have its own metadata schema or application profile some portion of which gets shared with OLAC.
With this as background then, with the assumption that different management practices will produce different metadata schemes it seems reasonable that each institution should update their schema from time to time. This implies that metadata quality in terms of coverage or "encoding" is a moving target. Another implication then, is that even in fields which are shared with the OLAC aggregator and are defined in the OLAC metadata application profile, that those fields may have different internal syntax at different providers or at different time depths of the records creation.
The ISO639-3 field is one evidence of evolutionary change. This standard has fields which split and merge from time to time. Associating a records time of creation with a version of an institutions metadata schema is a useful dynamic when evaluating a record's quality.
The question is how should a record and the version of its applicable metadata profile be associated in the OLAC context? How should this information be communicated to record viewers?
The answer is rather straightforward, but requires two parts. The first part requires a modification to the archive profile to have two information bits:
The name of the native application profile at the data provider
A link to the native metadata application profile documentation
The documentation should be in a publicly accessible place so that the provided metadata makes sense. There are several ways this could be accomplished one way is to create a manifestation record for each iteration of the application profile. These could be related into a collection or they could have a single relation.
which in the listSet
The OLAC OAI record should have in its source in the first harvest the name and version of the native metadata schema used for the generation of the record. The link to the native version of the providers metadata schema's documentation should be provided in the archive section of the OAI describer.
Some utilities in OAI can modify data, some can be servers only, some havesters only, some harvesters and servers.
Some OAI providers are
Using record sets:
OLAC could allow end-users to dynamically create sets of records for export using the setSpec part of OAI. Playing with this and audience interest might create some social interest.
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
Text Extraction
https://www.geeksforgeeks.org/extract-text-from-pdf-file-using-python/
https://towardsdatascience.com/how-to-extract-text-from-pdf-245482a96de7
https://betterprogramming.pub/how-to-convert-pdfs-into-searchable-key-words-with-python-85aab86c544f
So, in recent OLAC presentation I talked about enabling Omeka or Drupal via recipes for OAI harvesting. Here is some links to internet chatter on these issues.
