Tag Archives: open data

The Ukraine Genome Project finds quarter of the genetic variation in Europe, dramatically increasing information on population diversity and medical genetics.

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Prof Zhang Yongzhen is winner the 2020 ICG-15 GigaScience Prize for Outstanding Data Sharing during the COVID-19 Pandemic. Last month was the 10th year we’ve attended our co-publisher BGI’s annual ICG (International Conference on Genomics) gathering, and the 3rd time we have presented a prize at the meeting.

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With ongoing the 2020 COVID-19 pandemic providing us with unprecedented insight into the progression of a disease outbreak, and unprecedented time in the lock down to turn us all into armchair epidemiologists. This includes near real-time sharing and analysis of genomics data through platforms like nextstrain, and of ways to view the infection, mortality and […]

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With much of the GigaScience team spanning the Hong Kong-Shenzhen border and now confined to remote working, the current 2019-novel coronavirus outbreak has been particularly disruptive and close to home. As with previous WHO “public-health emergency of international concern” such as Ebola and Zika, data has provided a potent tool in fighting both the outbreak, and […]

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As part of the FAIRsharing Community Network (see previous blog) and joint Force11 and Research Data Alliance (RDA) FAIRsharing Working Group we have been involved in efforts to develop a shared, cross-publisher list of recommended data deposition repositories. The first fruits of these are a preprint from the working group and DataCite (of which we […]

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Lessons learned in the evolution of large-scale data sharing New studies out today elucidate the framework for 1 billion years of green plant evolution. The work are the results of nearly a decades work from an international consortium of nearly 200 plant researchers generating gene sequences from more than 1100 plant species. Here and in […]

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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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