Reproducibility

11 articles · Latest April 23, 2026

Faruk Diblen·Apr 23, 2026

Provenance in the age of AI: Why we need AI Declarations for more transparency

In research, if our methodology is not transparent, our results are not verifiable. Using AI to help generate code or synthesize data is dramatically affecting transparency, sustai...

eScience Editorial Team·Jan 16, 2025

My experience of getting codechecked

6 By eScience Fellow Eduard Klapwijk This year I was finalizing and publishing one of my own research projects. My coauthors and I took many steps to make the project as reproducib...

Lourens Veen·Nov 27, 2024

Is scientific software the new land grab?

3 Scientific software platforms are not always as open as they look at first sight. Avoid getting locked in with this advice! “Do you know what CodeOcean is? Should I do this?” As...

eScience Editorial Team·Jun 12, 2024

Brainstorming on the success of a research software catalogue

Brainstorming on the success of a research software catalogue 1 Researchers reflect on the whys and hows of scientific software catalogues Created with DALL-E. Timestamp: 2024–04–2...

eScience Editorial Team·Mar 19, 2024

The FAIR for Research Software Principles after two years: an adoption update

By Michelle Barker, Leyla Jael Castro, Bernadette Fritzsch, Daniel S. Katz, Carlos Martinez-Ortiz, Anna Niehues, Alexander Struck, Qian Zhang Click here for citation information fo...

eScience Editorial Team·Sep 21, 2023

Do you have 50.000 annotators?

Do you have 50.000 annotators? Written by eScience Center Fellow, Daniela Gawehns Photo by Shutterstock During ICT.open 2023, I organized a workshop for 40 computer scientists on r...

Lieke de Boer·Apr 20, 2023

Researchers are not born engineers — why are they expected to know how to code?

I refuse to be too hard on my past self. It’s understandable that researchers, who juggle multiple projects and deadlines, do not have the time, energy or resources to become codin...

Felipe·Jan 9, 2019

dealing with dragons and monsters best practices for handling legacy code

> “So comes snow after fire, and even dragons have their endings.” > ― J.R.R. Tolkien, The Hobbit Typical debugging session When I started my PhD in the field of computational chem...

Jurriaan H. Spaaks·Dec 11, 2018

the research software directory and how it promotes software citation

Improve the findability, citability, and reproducibility of research software By Jurriaan H. Spaaks, Stefan Verhoeven, Tom Klaver, Jason Maassen, (Netherlands eScience Center) and...

eScience Editorial Team·Dec 3, 2018

how do we evaluate research software to meet different requirements

Software written to solve research questions gains more recognition as a research result of its own and requires evaluation in terms of usability as well as its potential to facil...

eScience Editorial Team·Nov 29, 2018

nice hydrographs for everyone from everyone

“Nice hydrographs! Can you now compare your model to ‘that other hydrology groups model’?” The phd student suppresses the urge to roll her eyes. Her supervisor is asking her to go...