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 […]
Scott Edmunds - August 8, 2019
In Sultry Switzerland, Bioinformatics is Radiant at ISMBECCB Regular readers will know GigaScience originally launched at the 2012 ISMB (Intelligent Systems of Molecular Biology) meeting in Long Beach, and every subsequent year the conference has held a special place in our hearts as the place where we celebrate our birthday (see all the previous write-ups […]
Nicole Nogoy - 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. […]
Nicole Nogoy - 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 […]
Nicole Nogoy - December 13, 2016
This year has been an eventful one, probably too eventful for many. For GigaScience it has been eventful too, although fortunately in a much more positive way than many have experienced. While there are fears of us entering a “post-truth” era, there is more need than ever for our role as promoters of transparency, reproducibility and providers of cold-hard data. We celebrated our birthday with Mickey Mouse, and experienced many other milestones. On the technical front, this year we have brought you better integration with citable and updatable methods, bigger better and broader data types, and much more. In the tradition of end-of-year-introspection, here is a summary of some of our 2016 achievements as we continue to push the boundaries of innovative publishing of all research objects and reproducible research.
Nicole Nogoy - November 1, 2016
Halloween may be over, but this November GigaScience will be continuing to fight the zombie (paper) apocalypse and binge on sweet sweet brains (research outputs).
Nicole Nogoy - March 15, 2016
In support of Brain Awareness Week, we have asked Cameron Craddock, Director of the Computational NeuroImaging Lab, Nathan S. Kline Institute for Psychiatric Research and Director of Imaging, Child Mind Institute, to write a blog highlighting open science in neuroimaging, and to announce our upcoming publication of the 2015 Brainhack Proceedings and the Brainhack Thematic Series. BioMed Central are also highlighting some of the amazing benefits of brain research and showcasing the progress being made by researchers around to world. Learn more here.
Nicole Nogoy - December 14, 2015
Last Christmas we gave you our heart; okay forget George Michael – we gave you beautiful imaging data sets, Virtual Machines, BYO data parties, GigaGitHub, more open peer review plus much more. However, in 2015 GigaScience has delivered anything but less, with more technical developments and exemplar papers published – GigaScience continues to push the […]
Nicole Nogoy - December 1, 2015
Maryann Martone is Director of Biosciences for Hypothes.is and current President of FORCE11, an organization advancing scholarly communication. She tells us about a new open annotation tool, Hypothes.is, and why the ability to annotate scholarly objects is so important.
Amye Kenall - March 24, 2015
On March 19th and 20th, the Center for Open Science hosted a small meeting in Charlottesville, VA, convened by COS and co-organized by Kaitlin Thaney (Mozilla Science Lab) and Titus Brown (UC Davis). People working across the open science ecosystem attended, including publishers, infrastructure non-profits, public policy experts, community builders, and academics.