Tag Archives: reproducibility
Addressing the challenges of sharing computational workflows with Yevis. Q&A with Tazro Ohta.
Scott Edmunds - March 6, 2023
We have an author Q&A and video abstract with Tazro Ohta where he gives some insight into archiving workflows and his new Yevis platform.
Improvements for Man and Machine in Scientific Publishing
Scott Edmunds - October 5, 2022
Frictionless Data improves not just machine readability of scientific articles, but also enables humans to directly interact with the data within the article itself. A new article in GigaByte demonstrates frictionless data can help bring papers to life with interactive figures.
From Frictionless Data to Interactive Visualisation
Scott Edmunds - September 1, 2022
A guest post from our summer data science intern Raniere Silva from Hong Kong City Uiniversity on his work on Frictionless Data and Interactive Visualisation
Open Access Week 2021: GigaScience’s 10 Examples of Open
Scott Edmunds - October 29, 2021
For Open Access Week 2021 we look back over 10 of our favourite GigaScience papers providing examples of barriers we’ve tried to break for more open science.
Gigantum Joins the Giga Reproducibility Toolkit
Nicole Nogoy - June 2, 2021
Joining our Giga reproducibility toolkit is Gigantum, with a new paper being our first example using this platform for better collaboration, sharing and making reproducible research easier.
Changing the Culture of Data Management and Sharing: A Report on the NASEM Workshop
Chris Armit - May 26, 2021
The National Academies of Sciences, Engineering, and Medicine (NASEM) hosted the virtual workshop “Changing the Culture of Data Management and Sharing”. Here we have a write-up of the event.
GigaByte and River Valley Technologies push the boundaries of Executable Research Articles using Stencila and Code Ocean
Scott Edmunds - February 25, 2021
Today GigaByte publishes its first Executable Research Article (ERA), using technology from Stencila and Code Ocean to showcase interactive and executable versions of the figures.
Reproducible Classification. Q&A on ShinyLearner & the CODECHECK certificate, pt. 2
Scott Edmunds - April 8, 2020
Q&A with Stephen Piccolo talking about ShinyLearner, a benchmarking tool for machine-learning classification algorithms, & how it was tested with CODECHECK
Certified Reproducibility. Q&A on ShinyLearner & the CODECHECK certificate, pt. 1
Scott Edmunds - April 7, 2020
Out today in GigaScience is ShinyLearner, a new tool to make it easier to perform benchmark comparisons of classification algorithms. This tool stands out by making this process super systematic and reproducible, and despite needing to interface with many different libraries and languages it uses software containers (and a CodeOcean demo) so end users don’t […]
iMicrobe: Fostering Community-Driven Science and Data Discovery. Q&A with Bonnie Hurwitz
Nicole Nogoy - August 2, 2019
Author Q&A with Bonnie Hurwitz on the iMicrobe platform for open science and metagenomics, relevant to our FAIR principles and reproducible research.