Add JOSS paper.

[vnmabus]

Describe the proposed changes

This adds a paper to the repo, so that we can submit it to JOSS.

@trossi I had to rewrite part of the text that I had, as it was for an older version (prior to pyOpenSci submission). It can probably (almost surely, I would say) be improved, in case you have suggestions to do so.
Other things to take into account:

• Please review your author info. I tried to add your ORCID and affiliation, but it may be incorrect.
• Please add your acknowledgements (funding or whatever you need).
• Please feel free to add the work in which you used the library at the end of the "Statement of need" section.
• I left the section "Ongoing work" (name can be changed) for you to explain the changes you did.
• You can compile locally using the Docker they provide (https://joss.readthedocs.io/en/latest/paper.html#docker). I also set up the Github action, to check the paper after you push (e.g. https://github.com/vnmabus/rdata/actions/runs/10648562090).

You can add your changes either as suggestions to this PR or as PRs against this branch.

[trossi]

@vnmabus Thank you! I have added a description of the writing functionality and some general suggestions.

[vnmabus]

I agree with all your suggestions. I commit them and will re-read the article to see if more improvements need to be made. I suggest you to do the same if/when you have time.

[trossi]

Suggested change

	doi = {10.5281/zenodo.13132498},
	publisher = {Zenodo},
	doi = {10.5281/zenodo.7110169},

Here is the doi to "all versions" and adding Zenodo as publisher as for pandas.

[trossi]

Suggested change

	@misc{diaz-vico+ramos-carreno_2022_scikitdatasets,
	title = {{{scikit-datasets}}: {{Scikit-learn-compatible}} Datasets},
	author = {{D{\'i}az-Vico}, David and {Ramos-Carre{\~n}o}, Carlos},
	year = {2022},
	month = mar,
	@misc{diaz-vico+ramos-carreno_2023_scikitdatasets,
	title = {{{scikit-datasets}}: {{Scikit-learn-compatible}} Datasets},
	author = {{D{\'i}az-Vico}, David and {Ramos-Carre{\~n}o}, Carlos},
	year = {2023},
	month = aug,

Updating the time stamp. (DOI is already to "all versions".)

[trossi]

Suggested change

	@software{pandasdevelopmentteam_2020_pandasdev,
	title = {{{pandas-dev/pandas}}: {{pandas}}},
	author = {Pandas Development Team},
	year = {2020},
	month = feb,
	@software{pandasdevelopmentteam_2024_pandasdev,
	title = {{{pandas-dev/pandas}}: {{pandas}}},
	author = {{The Pandas Development Team}},
	year = {2024},
	month = apr,

Updating date and fixing the rendering of author. DOI is already to "all versions".

[trossi]

Suggested change

	It currently powers the functionality offered in the `scikit-datasets` package [@diaz-vico+ramos-carreno_2022_scikitdatasets] for loading datasets from the CRAN repository of R packages.
	It currently powers the functionality offered in the `scikit-datasets` package [@diaz-vico+ramos-carreno_2023_scikitdatasets] for loading datasets from the CRAN repository of R packages.

[trossi]

Suggested change

	As an example, consider the following simple code that constructs a `Pandas` [@pandasdevelopmentteam_2020_pandasdev] `Categorical` object from the internal representation of an R `factor`.
	As an example, consider the following simple code that constructs a `Pandas` [@pandasdevelopmentteam_2024_pandasdev] `Categorical` object from the internal representation of an R `factor`.

[trossi]

I agree with all your suggestions. I commit them and will re-read the article to see if more improvements need to be made. I suggest you to do the same if/when you have time.

Thank you! I added the changes related to discussion on paper.bib. I re-read the article and I think it's in good state. I can have another look later this week.

[trossi]

I added a small suggestion including references to NumPy and Pandas publications.

[trossi]

Suggested change

	@article{harris+_2020_numpy,
	title = {Array programming with {NumPy}},
	author = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
	van der Walt and Ralf Gommers and Pauli Virtanen and David
	Cournapeau and Eric Wieser and Julian Taylor and Sebastian
	Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
	and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
	Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
	R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre
	G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
	Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
	Travis E. Oliphant},
	year = {2020},
	month = sep,
	journal = {Nature},
	volume = {585},
	number = {7825},
	pages = {357--362},
	doi = {10.1038/s41586-020-2649-2},
	}
	@inproceedings{mckinney_2010_pandas,
	author = {{W}es {M}c{K}inney},
	title = {{D}ata {S}tructures for {S}tatistical {C}omputing in {P}ython},
	booktitle = {{P}roceedings of the 9th {P}ython in {S}cience {C}onference},
	pages = {56 - 61},
	year = {2010},
	editor = {{S}t\'efan van der {W}alt and {J}arrod {M}illman},
	doi = {10.25080/Majora-92bf1922-00a},
	}

I'd suggest to cite also NumPy and Pandas papers as suggested in https://numpy.org/citing-numpy/ and https://pandas.pydata.org/about/citing.html .

[trossi]

Suggested change

	This is a small, extensible, efficient, and very complete implementation in pure Python of a RData parser, that is able to read and convert most datasets in the CRAN repository to equivalent Python objects.
	This is a small, extensible, efficient, and very complete implementation in pure Python of a RData parser, that is able to read and convert most datasets in the CRAN repository to equivalent Python objects, such as the built-in types of The Python Standard Library, NumPy arrays [@harris+_2020_numpy], or Pandas dataframes [@mckinney_2010_pandas; @pandasdevelopmentteam_2024_pandasdev].

Referring to the NumPy and Pandas papers.