@khinsen Thanks for your encouragement! Whereas I'd at first thought of Maslow's hierarchy as just a basic pattern to follow, I now think there may be a kind of 'isomorphism' here:

Physiologic Needs: any part of the analytic pipeline (from data to results) that isn't fully scripted à la #reproducibleresearch is effectively DEAD.

Safety Needs: scripts not under source control, unstructured analysis data sets (spreadsheets≈crime), and indeed all unnecessarily imperative pipeline elements (e.g., shell scripts instead of makefiles) create an UNSTABLE and UNSAFE environment for analytic work. (Where applicable, safeguarding sensitive data also belongs in this tier.)

Love & Belonging: code reviews, documentation [incl. tests, pace Dijkstra], preregistration, conference presentations, preprints, and peer review at all stages of the work; using and crediting community-contributed software.

Esteem: contributing reusable code, bug reports, bug fixes, etc. to a community of scientific software users; contributing thoroughly reproducible and criticizable analyses in peer review.

Self-Actualization: At this stage, the values achieved have to be one's own, I think. Examples might be achieving technical transcendence by doing the whole project in #CommonLisp, #Guix or (for me) ISO #Prolog 🧘, or formally proving correctness of algorithms. Another example would be that others extend & improve upon your work. Finally, #scicomm could be regarded as a true pinnacle.

Implementing #reproducibility into daily #research practices hinges on pilots, projects, experiments and #collaborative efforts.
Do you have an idea on how to foster more #reproducibleResearch? Or are you already implementing a tool, exercise, standard procedure at your workplace?

You are invited to present your projects (or project ideas) during our poster and/or pitch session:

https://reproducibilitynetwork.nl/event/annual-symposium-2026/

Foto Credits: Robert Kroonen

@khinsen A well though-out Maslow's Hierarchy style graphic to convey this idea would be useful to me right now, putting [computational] reproducibility as a basic 'physiologic' need.
https://en.wikipedia.org/wiki/Maslow's_hierarchy_of_needs

I also see this 'feature grid' type of treatment https://co-analysis.github.io/coding-guide/workflow/rap/#code-maturity, which however does not underscore the #reproducibleresearch concept quite as I'd like.

Do you use any graphical summaries of this kind in your talks?

Reading a paper this morning https://onlinelibrary.wiley.com/doi/10.1002/pds.4295 that follows Nosek & Errington (2017) https://elifesciences.org/articles/23383.pdf in muddling the distinction between #replicability as a broader scientific aim vs #reproducibility as captured in the narrow (purely 'computational') idea of #reproducibleresearch discussed e.g. in a #Guix context here https://guix.gnu.org/cookbook/en/html_node/Reproducible-Research.html.

This mistake is not uncommon, and leads (in this present paper, at least) to insufficient stress on computational reproducibility as a sine qua non of any higher-order quality attribute.

Individual visualisation for the 2 587 stations on the mainline network are available here https://github.com/anisotropi4/kingfisher/blob/main/station-update.md the code to generate this is here https://github.com/anisotropi4/kingfisher

2/n

#ReproducibleResearch

☕ Café #Guix is en English today: long-time contributor Arun Isaac will talk about reproducible computations with Guix and #CWL

📅 today Tue. 25th, 1PM CEST
▶ https://meet.univ-grenoble-alpes.fr/b/cel-dyj-m93-arv

#OpenScience #ReproducibleResearch #Bioinformatics

• Paper published in 2009.
• Colleague needs release from 5 years ago.
• Python code and C bindings.

Guess what? 🤔

Open Source code isn’t enough! 😱

1. The 5 years old package needs dependencies.
2. These dependencies need options, incompatible with the current ones.
2. The 5 years old package needs specific CPython C API.

🥳 Colleague’s convinced! 🎉
📣 Package managers are one pillar of #OpenScience and #ReproducibleResearch!

And hopefully, it’s a fun challenge with #Guix. 😍

I managed to find an easy solution to have reproducible environment using #Guix time-machine while still coding at the comfort of my own IDE.

I wrote a very short blog post about how to set it up in about 5 minutes along with example codes for R and etc.:

https://mehrad.ai/posts/20251106-reproducible-r-enviroment-using-guix/

This can be used for virtually any programming language and software stack.

#ReproducibleResearch #BlogPost #RStats

I’m excited to share that my Posit::conf talk is now live on YouTube! 🎥

👉 Watch here https://youtu.be/RxwU1cZ5FiA?si=ujfY9h4zSdTBxVdo

It’s been an incredible exploring reproducible design in R and bringing history to life through data.
Grateful to the Posit PBC team and everyone who supported this work! 💜

#positconf 2025 #dataScience #ReproducibleResearch

#SciX makes research more efficient by linking data, code, and publications, so findings can be tested, trusted, and built on faster. More reproducible science, less wasted effort, more discoveries. #OpenScience #ResearchIntegrity #ReproducibleResearch #EfficientResearchWorkflows

https://bsky.app/profile/scixcommunity.bsky.social/post/3m27q5wzltk2n

Balloons for Erasmus University! We are glad to announce yet another member joining the NLRN with endorsement by their rector.

We welcome Willem Scholten as node lead.

#ReproducibleResearch #ErasmusUniversity #OpenScience

Photo by Diya Pokharel on Unsplash

Dear @zimoun , thank you for such a rich meeting and sharing your experience with #ReproducibleResearch and #guix for this #tem25 thesis . :)

#orgmode Babel (blocks of code calling anything integrated with the text and images) are great for #LiteraryProgramming and reprod. research.

Also, thank you for your mention of #ggplot2 that @ansate nailed too a little later. :)

Thanks also to @bzg too. 🙏

Re #PeerGovernance, I'd be delighted to share my experience with the guix community anytime.

7️⃣ Data and #RStats codes archived at #figshare :
🔗 https://doi.org/10.6084/m9.figshare.23828784.v3

A copy is maintained at GitHub:
🔗 https://github.com/kumar-a/richness-patterns

#OpenData #OpenScience #ReproducibleResearch

@publicvoit @lukascbossert I remember that paper well and it did have impact. At least for me, it gave me the reassurance I needed to go full-on on using org mode for writing my academic papers. So, thank you!

#orgmode #Emacs #LiterateProgramming #ReproducibleResearch

@lukascbossert In 2012, I presented a paper at #iKNOW2012 where I demoed the workflow to generate an ACM whitepaper from one single #Orgmode file + Org-babel + raw data files in CSV format.

Template used: https://github.com/novoid/orgmode-ACM-template together with Tom Dye.

This might be irrelevant implementation-wise because it would need an update but the workflow idea is still awesome!

The people at the session back then mostly did not get it. I probably failed to transmit the idea because they asked specific questions about the demo example data which was just lorem ipsum to me. 😉

#ReproducibleResearch #Emacs #research #literateprogramming

❓ Did you know that the Data-to-Knowledge package stores data and analysis reproducibly, along with components such as a visualized workflow to aid understanding and reuse?

📢 Markus Konkol and colleagues explain and demonstrate its feasibility in their research and innovation paper “Encouraging reusability of computational research through Data-to-Knowledge Packages - A hydrological use case”.

https://52north.org/news/encouraging-reusability-of-computational-research-through-data-to-knowledge-packages/

#FAIR data #reproducibleresearch

🎉 The magic is real: Quarto Wizard 1.0.0 is LIVE!

Wave goodbye to complexity, pure enchantment awaits:

🪄 Magical extension browsing (250+ spells available)
✨ One-click installation wizardry
🔮 VS Code & Positron enchantment

https://quarto.org/docs/blog/posts/2025-10-20-quarto-wizard-1-0-0/

#DataScience #ReproducibleResearch #Quarto #QuartoPub #VSCode #PositronIDE

@guix (1) To temporarily extend with a missing command not available in my default profiles.

(2) Option --container. The killer feature when exploring #ReproducibleResearch.

(3) ’guix time-machine -C channels.scm -- shell -m manifest.scm -- rubber’ or instead of ’rubber’: make, python, etc. Either as a plain command from a project folder, either as ’compile-command’ Local Variables option from Emacs.

The Galaxy single-cell and spatial omics community (SPOC) is thrilled to share the latest updates on tools, datasets, and collaborative initiatives driving open and reproducible single-cell and spatial omics research in 2025.
https://galaxyproject.org/news/2025-10-14-spoc-cellgenomics/

@galaxyfreiburg
#UseGalaxy #GalaxyProject #EOSC #SingleCell #SpatialOmics #Omics #Transcriptomics #Bioinformatics #Genomics #ComputationalBiology #EuroScienceGateway #OpenScience #ReproducibleResearch #GalaxyCommunity #SPOC (1/2)

The Galaxy single-cell and spatial omics community (SPOC) is thrilled to share the latest updates on tools, datasets, and collaborative initiatives driving open and reproducible single-cell and spatial omics research in 2025.
https://galaxyproject.org/news/2025-10-14-spoc-cellgenomics/

@galaxyproject
#UseGalaxy #GalaxyProject #EOSC #UniFreiburg #SingleCell #SpatialOmics #Omics #Transcriptomics #Bioinformatics #Genomics #ComputationalBiology #EuroScienceGateway #OpenScience #ReproducibleResearch (1/2)