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Publishing a paper on reproducible research without making it easy for
readers to read the references would defeat the point. Of course we have to
make some compromises with some journals' reluctance to shift towards the
free world, but to satisfy scientific ethics, we should at least provide
clickable URLs to the references, preferably to the ArXiv version if
available [1], and also to the DOI, again, preferably to an open-access
version of the URL if available.
I was not able to fully get this done in the .bst file, so there's an
sed/tr hack done to the .bbl file in `reproduce/analysis/make/paper.mk` to
tidy up commas and spaces.
This commit also reverts some of the hacks in the Akhlaghi IAU Symposium
`tex/src/references.tex` entry, to match the improved .bst file,
`tex/src/IEEEtran_openaccess.bst`, provided here with a different name to
the original, in order to satisfy the LaTeX licence.
[1] https://cosmo.torun.pl/blog/arXiv_refs
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To help show the simplicity of 'top-make.mk', it was included as a
listing. I also went over some of Boud's corrections and made small
edits. In particular:
- The '\label' and '\ref' to a section were removed. I done this after
inspecting some of their recent papers and noticing that they generally
have a simple flow, without such redirections.
- In the part about the RDA adoption grant, I moved the "from the
researcher perspective" to the end. Because Austin+2017 is mainly
focused on data-center management, not the researcher's. They do touch
upon researcher solutions that can help data-base managers, but not
directly the researchers. In effect with this grant, they acknowledged
that our researcher-focused solution confirms with their criteria for
data-base management.
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Following the fact that the DSJ editor decided that this paper doesn't fit
into their scope, we decided to submit it to IEEE's Computing in Science
and Engineering (CiSE). So with this commit the text was re-written to fit
into their style and word-count limitations.
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The paper is no longer using LuaLaTeX, but raw LaTeX (that saves a DVI), it
is so much faster! Initially I had used LuaLaTeX to use special fonts to
resemble the CODATA Data Science Journal, but all that overhead is no
longer necessary. Therefore I also removed the MANY extra LaTeX packages we
were importing. The paper builds and is able to construct one of its images
(the git-branching figure) with only 7 packages beyond the minimal
TeX/LaTeX installation. Also in terms of processing it is so much faster.
The text is just temporary now, and mainly just a place holder. With the
next commit, I'll fill it with proper text.
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