A few months back I was invited by Issues in Science and Technology to write a response to The Real Returns on NIH’s Intramural Research | Real Numbers by Jeffrey Alexander and Rossana Zetina-Beale. The reply was published on December 16th, and - no surprises here given my previous article for the Good Science Project - the basic premise is that NIH Intramural Research Program (IRP) data represents an additional return on taxpayer investment.
🔗Maintaining Community Trust and Safety The rOpenSci community is supported by our Code of Conductwith a clear description of unacceptable behaviors,instructions on how to make a report,and information on how reports are handled.
We are very pleased to kick off the New Year with another important schema update and the news that a Grant DOI field is now supported for all record types.
🔗Mantener la confianza y la seguridad de la comunidad La comunidad rOpenSci se rige por nuestro Código de conducta,que describe claramente los comportamientos inaceptables,incluye instrucciones sobre cómo reportar un incidentee informa sobre cómo se gestionan estos reportes.
por Masiel Hurtado González En la época colonial y buena parte de los siglos posteriores, la Iglesia católica impregnaba casi todos los aspectos de la vida cotidiana. Entre ellos, la familia y la reproducción ocupaban un lugar central. Tener hijos no solo era lo esperado; era considerado un deber moral.
It’s 2026 and so it’s time for another edition of “the papers I selected for a module that I teach”. Previous selections are here (2025, 2024, 2023, 2022). The list serves as a snapshot of interesting papers published in the previous 12 months or so. I hope it’s useful to others who are looking for lists […]
tl;dr: You can now serve map files for CoMaps from your own servers, including local ones. I made a small and simple command-line tool to help you download the maps to your computer and serve them in a local network. CoMaps is a mobile app for Android &
Information & truth. What’s the difference? I’ve always liked this analogy from the world of data science: data is information, but models are truth. Let’s start with the data. This image shows total monthly publications for a particular journal up until mid 2024: On its own, the data doesn’t tell us much that’s interesting. But a little bit of analysis can go a long way here.
R + AI, uv, RAG+Zotero, Quarto books, Codex in Positron, Positron assistant &
Back on October I presented Everything you always wanted to know: plant pathway modelling in WikiPathways (doi:10.5281/zenodo.18149988) at the Knowledge Graphs for Plant and Microbiome Multiomics symposium (see this archived LinkedIn post) on 14th October 2025 (youtube recording). I had not found time yet to post about this meeting, but it was an awesome list of speakers, regrettable absense of some others, but resulting in new contacts and some
Five years ago, we introduced a second criterion, “substantial scholarly effort” , to ensure that we publish meaningful contributions to research software. Our benchmark at the time – at least roughly three months of developer time – offered a practical, human-centered proxy for effort. For that era, it served us well. Today, the landscape is fundamentally different.