Stack Exchange for Language Resource Archiving

I wonder if it would be productive to have language archive discussions via stack exchange. OLAC implementation, cataloging, and indexing discussions.

https://area51.stackexchange.com/faq

1000 questions in 6 months with 70% answers... that means 6 people asking one question a day for 6 months. Do we have that many questions? Do we have that big of a community?

OLAC language view pages

There are several views in the OLAC website. Each with specific purposes.

Dublin Core Uses

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?

RSS: https://web.resource.org/rss/1.0/modules/dcterms/
HTML: https://www.dublincore.org/specifications/dublin-core/dcq-html/; https://www.dublincore.org/specifications/dublin-core/dc-html/
HTML: https://www.hjp.at/doc/rfc/rfc2731.html ; https://www.ietf.org/rfc/rfc2731.txt

Note that in https://www.ietf.org/rfc/rfc2731.txt they use DC1.0

When another application profile "borrows" the DC property/term/element... how do they borrow it? https://exiv2.org/tags-xmp-dwc.html

Cataloging Serials

https://archive.org/details/podcast_electronic-serials-cataloging_386018207
https://wiki.rice.edu/confluence/display/METACAT/Cataloging+Continuing+Resources
https://www.tandfonline.com/doi/full/10.1080/01639374.2017.1388324
https://www.tandfonline.com/doi/abs/10.1080/1941126X.2018.1494014
https://wiki.rice.edu/confluence/display/METACAT/Cataloging+Continuing+Resources
https://web.library.yale.edu/book/export/html/570
https://github.com/WeblateOrg/language-data

https://alcts.libguides.com/alcts_standards/continuing_resources

https://www.tandfonline.com/doi/abs/10.1080/01639374.2017.1388324?journalCode=wccq20
https://alcts.libguides.com/alcts_standards/continuing_resources
https://www.loc.gov/aba/pcc/conser/word/Module0.docx
https://www.loc.gov/marc/bibliographic/bd008s.html
https://www.ala.org/alcts/confevents/upcoming/webinar/031815
https://archive.org/details/podcast_advanced-serials-cataloging-_386018196
https://archive.org/details/podcast_electronic-serials-cataloging_386018207
https://www.ala.org/alcts/mgrps/crs/

RDA & WEMI
http://www.mlalibrary.org/resources/Documents/Quickand%20DirtyRDA_MLA2016_TracyPizzi.pdf

git for field linguistics

https://www.protocols.io/
https://royalsocietypublishing.org/doi/10.1098/rsta.2020.0210
https://oad.simmons.edu/oadwiki/Data_repositories
https://codeocean.com/
https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/bes2.1801
https://www.ncbi.nlm.nih.gov/books/NBK547546
https://link.springer.com/article/10.1007/s00799-020-00288-2
https://www.pachyderm.com/

https://www.carlboettiger.info/2013/06/03/DOI-citable.html
https://mclm2022.github.io/git/cheatsheet.html
https://git-scm.com/docs/gitattributes
https://stackoverflow.com/questions/66845434/gitattributes-linguist-language-declaration
https://www.hiramring.com/posts/using-git-for-linguistics
https://www.dolthub.com/blog/2020-03-06-so-you-want-git-for-data/

Using Git for Database: Why It Works and How to Persist Where It Doesn’t


https://towardsdatascience.com/a-guide-to-git-for-data-scientists-fd68bc1c729
https://gitforteams.com/
https://pepa.holla.cz/wp-content/uploads/2016/01/Git-for-Teams.pdf
The book is a good introduction to basic workflows, however if you are looking for help with managing complex projects, look elsewhere. It does not even mention submodules (or its alternatives), which is the cornerstone of managing independent but shared subprojects.
https://michaelstepner.com/blog/git-vs-dropbox/#:~:text=In%20git%20you%20have%20versions,Did%20you%20get%20them%20all%3F

https://www.pachyderm.com/

https://dvc.org/

Data Versioning Explained: Guide, Examples & Best Practices

Data Version Control – A Data Engineering Best Practice You Must Adopt

https://research.aimultiple.com/data-versioning/

https://towardsdatascience.com/git-for-data-engineers-a8b979d8b2ab

https://dagshub.com/blog/data-version-control-tools/

https://neptune.ai/blog/dvc-alternatives-for-experiment-tracking

https://terminusdb.com/blog/git-for-data/

https://terminusdb.com/

https://www.kdnuggets.com/git-for-data-science-cheatsheet.html

http://karthik.github.io/git_intro/#/slide-title

https://towardsdatascience.com/git-a-complete-guide-d49675d02a5d

https://valohai.com/blog/git-for-data-science/

Git for Data Science – A Guide For Data Scientists

https://phoenixnap.com/kb/how-to-use-git

https://gucorpling.org/gitdox/

https://phoenixnap.com/kb/how-to-use-git

https://www.nimirea.com/blog/2019/05/10/git-for-social-scientists/