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.

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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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The Norwegian city of Trondheim seemed the place to be this June – with hotels in high demand  due to the BarCode Of Life conference, The Big Challenge Science Festival (including a concert by that famous science communicator Sting), and the Functional Metagenomics 2019 conference (#FMG2019) all taking place over the same period (June 16-19th). […]

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Three jellyfish genomes are better than one A new article in GigaScience  might make you squirm if you plan to hit the beach this summer. The published work presents the draft genomes of three different jellyfish species. The international group of researchers, lead by Joseph Ryan (University of Florida), chose to examine jellyfish that present a […]

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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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  Having just attended our first plant phenomics conference – it was great to learn how far the field has progressed and how rapidly it continues to progress with the advancement of new technologies for high-throughput phenotyping. The greater plant phenomics community is trying to collect and define sets of physical and biochemical traits belonging […]

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With the upcoming 5th International Plant Phenotyping Symposium (IPPS) set to take place Oct 2-5, in Adelaide, Australia, we look at how the plant phenotyping community has progressed over the last decade and how we can potentially address the issues surrounding data sharing, re-use, and reproducible research. As we live in an increasingly data-driven era, […]

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Passiflora, commonly known as Passion Vines or Passion Flowers is a genus encompassing around 500 species, all of which exhibit such huge variation in leaf shape.  To further understand the unique diversity of Passiflora leaves, a recent paper published in GigaScience, presents a morphometric analysis and unique open dataset encompassing over 3,300 leaves from 40 […]

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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.

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