The Research Software Directory is designed to show the impact research software has on research and society. We stimulate the reuse of research software and encourage proper citation of research software to ensure researchers and RSEs get credit for their work.

Keep code, data, containers under control with git and git-annex

Built in Python.

• https://doi.org/10.21105/joss.03262 (paper)
• https://github.com/datalad/datalad (repo)
• https://www.datalad.org
• http://docs.datalad.org (docs)
• http://handbook.datalad.org (crash course)

• Scandinavia nordic-rse.org
• Germany: de-rse.org
• Netherlands: nl-rse.org
• Belgium: be-rse.org
• UK: society-rse.org
• USA: us-rse.org
• Australia/New Zealand rse-aunz.github.io
• Asia rse-asia.github.io

Via Github.

• FAIR principles for Research Software, released in May 2022 as an endorsed recommendation of the Research Data Alliance
• FAIR software checklist - if you are a researcher who writes software, check it out! Via Netherlands e-Science Center

https://lookingatnothing.com

The website is a collaboration between two Dutch data science centers.
Should in my opinion also mention Gitea or Codeberg under suggested version control repositories, but otherwise good advice all around!

Under the title Data in Motion this track focuses on the deployment of data in research and the versatility of the domain that concentrates on this way of doing science. A panel, presentations and small pitches, illustrated by video or demo's, will sketch the fruits of escience and data science, and thus demonstrate the need for an RDA in support of research. Also the formation of a European Platform for e-science and data research centers will be highlighted during this session.

Video 1h 20 min. Presented by Patrick Aerts and Paul Groth.

An IUPAC project (apparently in collaboration with CODATA and CIPM, which makes it very official).

• Units of Measure for Humans and Machines, released in Oct 2020
• Digital Representation of Units of Measure in Chem. Int., vol. 42, no. 4, 2020, pp. 36.
• What's the future of digital chemical units?, presentation by Stuart Chalk at ACS Fall in Aug 2021.
• Stop squandering data: make units of measurement machine-readable in Nature vol. 605, 2022, p. 222-224.

Other IUPAC projects on digital standards. Of particular interest to us are Machine-accessible periodic table and Development of a standard for FAIR data management of spectroscopic data.

Video by Royal Society of Chemistry, from Jan 2022.

I have published an Ansible role that installs a Jupyter instance using JupyterHub and JupyterLab.

• JupyterLab 3.0 released (2021-01-05)
• JupyterLab is ready for users (2018)
• How To Set Up a Jupyter Notebook to Run IPython on Ubuntu 16.04

Extending the Jupyter ecosystem

• Voilá
• Voici
• JupyterLab extensions (labextension)
• Classic Notebook extensions (nbextension)
• Notebook Server Extensions (serverextension)
• Jupyter Kernels
• IPython Magics
• IPython Widgets (ipywidgets)
• 99 ways to extend the Jupyter ecosystem

Hosted Jupyter notebook

• Colaboratory Google Jupyter notebook environment that requires no setup to use and runs entirely in Google's cloud.

Sharing data apps

• Streamlit - so like Shiny but for Python

Veusz is a scientific plotting and graphing program with a graphical user interface, designed to produce publication-ready 2D and 3D plots. In addition it can be used as a module in Python for plotting. Veusz is multiplatform, running on Windows, Linux/Unix and macOS.
It supports vector and bitmap output, including PDF, Postscript, SVG and EMF.

The Materials Project's mission is to accelerate the the discovery of new technological materials through advanced scientific computing and innovative design tools.

To use Materials Project's API, pymatgen may be easiest.
I am not aware of a similar API wrapper for R.

Taylor Sparks has produced a number of videos related to the Materials Project, such as Materials Project API example using pymatgen and Materials data repositories.

Good to see Nature making this point, although this argument is hardly new.

If you like your arguments in long-form, why not read In the Beginning was the Command Line by Neal Stephenson from 1999 (yes, it's old, but well worth a read).

Interestingly, the command line being great does not make the alternative fairly OK. It's much worse than that (that is an article by Ben Klemens from about a decade ago, original URL has unfortunately succumbed to linkrot, but I had it saved on my Wallabag).

A Javascript tool to model tandem photocatalytic devices, by Brian Seger, assoc. prof. at DTU.

I first heard about it in a talk by Ib Chorkendorff (PECSYS, 201105).