Increase FAIRness of openwashdata by adding functions that export to different metadata schemas / enrich metadata

[larnsce]

This can be part of openwashdata phase 2 WP4: Increase FAIRness: https://openwashdata.org/pages/gallery/proposal-02/#wp4-increase-fairness

The idea is to use the existing metadata we have, enrich it and then export to other metadata schemas. An example comes from the dataspice R package to prepare data publications.

I am thinking particularly of the write_spice() function, which writes metadata from a set of CSVs into the JSON-LD:

https://docs.ropensci.org/dataspice/reference/write_spice.html

Package: https://docs.ropensci.org/dataspice/

We should review this workflow and adapt some of it to our own needs.

Another one is the Frictionless Data Table Schema: https://specs.frictionlessdata.io//table-schema/

Lastly, I think we should consider building a proper data catalogue using a data management system like CKAN: https://ckan.org/

@bonschorno @yashdubey132: we can split these up into different issues, but I would like you two to work on this.

[larnsce]

Here is our current metadata table, which is all created manually. We could extract more information from the existing packages (e.g. nrow / ncol) but also add additional manual fields. https://docs.google.com/spreadsheets/d/1vtw16vpvJbioDirGTQcy0Ubz01Cz7lcwFVvbxsNPSVM/edit?gid=0#gid=0

[larnsce]

I am adding information here that comes from Asana and is about the feasibility of sharing our data also as packages for Python.

---

understand the need of extending GHE functionality to Python
discuss the necessity of building python pacakges

Some resources:
Instruction:
https://towardsdatascience.com/step-by-step-guide-to-creating-r-and-python-libraries-e81bbea87911
https://docs.python-guide.org/writing/structure/
Opinion:
https://www.ethanrosenthal.com/2022/02/01/everything-gets-a-package/
https://packaging.python.org/en/latest/tutorials/packaging-projects/
Example
http://www.data8.org/zero-to-data-8/datascience.html
https://mintcanary.com/frictionlessdata/tools/

Take-away from 24/01 discussion:
Nic has a proof-of-concept python pkg on wasteskipsblantyre
current design is inside an owd R data package
pro: less redundant
con: can be confusing for most users and complica

---

Here also the feedback from @n-raspi: https://docs.google.com/document/d/1DkzGRQTGXS0IuT_hFEFSUSLJIYczr5LXng10ELTwp78/edit#heading=h.6gmwdlbbkrxh