Tag Archives: open science

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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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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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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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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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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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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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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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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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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Citizen Science at UNEA4 As GigaScience has the aim of opening and democratising science as far as it can go, we even work towards the involvement of non-professional “citizen scientists” in the scientific process. Regular readers of this blog and journal will have seen the many crowdfunded and educational community genome projects we have promoted […]

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