Tag Archives: open science

Open Access Week 2021: GigaScience’s 10 Examples of Open

- October 29, 2021

Open Access Week 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.

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Guest Posting: Help Crowdfund the Transbiome

- March 2, 2021

transbiome

A guest posting with the Transbiome team on their community driven research program using crowdfunding and co-creation to discover the diversity of the neo-vaginal microbiome.

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New beginnings during a pandemic – the COVID year in review

- December 17, 2020

Looking back at this unusual year, we are happy to report that GigaScience not only kept going under difficult circumstances, publishing outstanding examples of Big Data science and introducing innovations in the review process. We also opened a new chapter with the launch of a sister journal, GigaByte .

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A New Monitoring Tool Empowering Infectious Disease Detectives

- October 22, 2020

IDseq

Out this week in GigaScience is a new monitoring tool empowering infectious disease detectives. Scientists in Cambodia, who are supported by the Chan Zuckerberg Initiative, the Chan Zuckerberg Biohub, and the Bill & Melinda Gates Foundation, used the new IDseq tool to help confirm and sequence the whole genome of the country’s first case of COVID-19. Read more here.

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Giga Gets Bigger: GigaByte kickstarts GigaScience Press

- September 4, 2020

GigaScience Press launches

GigaScience has spawned a new smaller and more agile sibling: GigaByte, and is the first journal to come from our new GigaScience Press.  This bigger and better GigaScience family has lead to some changes in GigaScience, and we are pleased to make some important announcements about the team. Coming shortly after our 8th birthday, GigaScience […]

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Reproducible Classification. Q&A on ShinyLearner & the CODECHECK certificate, pt. 2

- April 8, 2020

ShinyLearner

This week we showcased a new way of peer reviewing software, testing code in an independent manner and providing a CODECHECK “certificate of reproducible computation” when the results in the paper can be reproduced. We’ve written a post on the CODECHECK process featuring a Q&A with CODECHECK founder Stephen Eglan, and here we’ll provide a follow […]

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Certified Reproducibility. Q&A on ShinyLearner & the CODECHECK certificate, pt. 1

- April 7, 2020

CODECHECK certificate

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 […]

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iMicrobe: Fostering Community-Driven Science and Data Discovery. Q&A with Bonnie Hurwitz

- August 2, 2019

In this data-driven era, research is faced with new challenges, from sharing, storing and accessing data, including how to better integrate data to answer big questions in science. With many data repositories available, it is hard to maintain them all – some repositories are forced to close – meaning loss of access to invaluable datasets.  […]

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Power to the People and Their Data – The Open Humans Way. Q&A with Bastian Greshake Tzovaras and Mad Price Ball

- June 27, 2019

In the data driven era, not only in research but in our day-to-day lives, people are creating more and more personal digitized data that enables human-participant research in social sciences and personalized medicine. However, with numerous data streams and types this raises concerns such as how to merge and share such data, as well as […]

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GigaBlog meets Gigantum: Guest Post from Tyler Whitehouse, Dean Kleissas and Dav Clark

- June 20, 2019

At GigaScience as our focus is on reproducibility rather than subjective impact, it can be challenging at times to judge this in our papers. Targeting the “bleeding edge” of data-driven research, more and more of our papers utilise technologies, such as Jupyter notebooks, Virtual Machines, and Containers such as Docker. Working these tools in to […]

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