As part of our efforts to make science more reproducible, we integrate Bio-protocol in our methods sections so you can easily view or request detailed protocols directly from any eLife article. #Reproducibility #OpenScience
As part of our efforts to make science more reproducible, we integrate Bio-protocol in our methods sections so you can easily view or request detailed protocols directly from any eLife article. #Reproducibility #OpenScience
A bitwise reproducible deep learning framework
https://github.com/microsoft/RepDL
#HackerNews #bitwise #deep #learning #reproducibility #RepDL #Microsoft #AI #framework
Join us TODAY 16:00-17:30 CET for a special hybrid ReproducibiliTea in the HumaniTeas session on research integrity and #reproducibility in the age of #GenAI with guest speaker @dingemansemark. The recommended (but optional!) preparatory reading is: https://osf.io/preprints/osf/2c48n_v1.
Join us at @unibibkoeln (room 4.06) for a selection of tea and Christmas sweets or DM me for the Zoom link.
Join us TODAY 16:00-17:30 CET for a special hybrid ReproducibiliTea in the HumaniTeas session on research integrity and #reproducibility in the age of #GenAI with guest speaker @dingemansemark. The recommended (but optional!) preparatory reading is: https://osf.io/preprints/osf/2c48n_v1.
Join us at @unibibkoeln (room 4.06) for a selection of tea and Christmas sweets or DM me for the Zoom link.
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.
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
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.
Jupyter notebooks are fine to use in production as long as their outputs aren't considered "official" unless they are run in batch mode, e.g., with nbconvert or papermill. That is, you should never deliver any result from a notebook you ran interactively.
Just a minute ago, I accidentally discovered Workflowhub (https://about.workflowhub.eu/) when browsing through a few Nanopubs. I was not aware of this repository.
A first thought: "Yet another repository to register #FAIR materials? Seriously?" Then again, I am all in favour of #reproducibleComputing and want to see more of it.
On the other hand: transparency in our work is central to the #OpenScience idea. NOT cluttering a file space so that we can be transparent in our work is paramount.
Lately, we have seen #nanopub, #ROcrates, and apparently WorkflowHub, too. (This is by no means a comprehensive list.) I wonder: Are we getting too many solutions to keep up-to-date? Are we risking frightening young researchers with the high standards we are setting? We are by no means where we want to be in terms of #transparency and #reproducibility in research, or are we?
Note, that I understand how competing systems and tool sets arise. Still, my nonrhetorical questions (1 & 2) stand.
Jupyter notebooks are fine to use in production as long as their outputs aren't considered "official" unless they are run in batch mode, e.g., with nbconvert or papermill. That is, you should never deliver any result from a notebook you ran interactively.
Have you checked out our #OpenScience Bites #podcast yet? Stay tuned!
Very soon, we’ll be talking with Felipe Romero, Assistant Professor at the Faculty of #Philosophy. From a #MetaScience perspective, we’ll dive into the concepts of #reproducibility and #replicability, and why they matter for #research practice.
We’ll let you know as soon as the new episode is online!
In the meantime, feel free to listen to our earlier episodes:
🔄 Automatización de workflows en #RStats y #Python
Aprendé a usar targets y snakemake para crear flujos reproducibles y colaborativos
Con Diana García
📅 2 Dic, 14:00–16:00 UTC-3 Online
💵 Estudiantes USD 5 · Académicos USD 10 · Industria USD 15
🔗 https://www.eventbrite.com.ar/e/1936131664929
🌀 ¡Miércoles, Git! Manejo de errores en #Git y no morir en el intento
Aprendé a resolver 7 errores comunes en Git y ganar confianza desde #RStats.
Con Maëlle Salmon y Yanina Bellini Saibene
📅 2 Dic, 10:00–12:00 (UTC-3) – Online
💵 Estudiantes USD 5 · Académicos USD 10 · Industria USD 15
🔗https://www.eventbrite.com.ar/e/1937068908249
Incomplete characterization and inconsistent reporting of laboratory animal #genetics undermine study quality and limit research #reproducibility. This #PLOSBiology Perspective highlights the LAG-R guidelines and calls for collective action to enhance scientific integrity. https://plos.io/435uBTe
Incomplete characterization and inconsistent reporting of laboratory animal #genetics undermine study quality and limit research #reproducibility. This #PLOSBiology Perspective highlights the LAG-R guidelines and calls for collective action to enhance scientific integrity. https://plos.io/435uBTe
Big goals need powerful voices and ours just hit TEDx! 🎤
Heidi Seibold, co-founder of Digital Research Academy, takes the stage at TEDxTUM 2025 to talk Open & Reproducible Science.
How do we rebuild trust, openness & collaboration in research? Find out Nov 8!
#OpenScience #Reproducibility #TEDx #ResearchCulture #TEDxTUM #OpenScience #Reproducibility #TrustInScience
On Oct. 30 at 2 PM Paris time (or 1 PM GMT) I'll be making an introduction to reproducibility and computational sciences in the series of seminars of AREN (African Reproducibility Network). If you're interested, don't hesitate to join! https://us06web.zoom.us/meeting/register/2kUnopebSy-DcY--Jljq_g#/registration
![A snippet from §1.2 of 'Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0', a report from the ISPE‐ISPOR Special Task Force on Real World Evidence in Health Care Decision Making.
"Reproducibility is a characteristic of a study or a finding. A reproducible study is one for which independent investigators implementing the same methods in the same data are able to obtain the same results (direct replication [38]). In contrast, a reproducible finding is a higher order target than a reproducible study, which can be tested by conducting multiple studies that evaluate the same question and estimand (target of inference) but use different data and/or apply different methodology or operational decisions (conceptual replication [38])"
Citation [38] here is Nosek & Errington (2017) https://elifesciences.org/articles/23383.pdf.](https://media.scicomm.xyz/media_attachments/files/115/677/521/023/257/746/original/972153bc6c37f83e.png)
