My research is about the interaction of (machine) representation and the impact on the success of data analysis (matchine learning, chemometrics, AI, etc). See the posts about molecular chemometrics. This got me into FAIR: making data interoperable and being able to (really) reuse data is the starting point of doing research.

Published today in GigaScience is a Data Note describing the National COVID-19 Chest Imaging Database (NCCID), a centralised database containing chest X-rays, Computed Tomography (CT) and MRI scans from patients across the UK. Utilising the UK National Health Service’s unique position as the world’s single largest integrated healthcare system, the benefits of collecting chest imaging data this large are extensive and already being used

Looking back at this unusual COVID-dominated 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 are proud to announce Prof Zhang Yongzhen winner the 2020 ICG-15 GigaScience Prize for Outstanding Data Sharing during the COVID-19 Pandemic . Last month was the 10th consecutive year we’ve attended our co-publisher BGI’s annual ICG (International Conference on Genomics) gathering, and the third time we have presented a prize at the meeting. This years award was for Dr. Zhang’s outstanding efforts in sharing the first

Scientists in Cambodia, who are supported by the Chan Zuckerberg Initiative, the Chan Zuckerberg Biohub, and the Bill &

Not only epidemics themselves come in waves, also research into emerging infectious diseases has ups and downs, a Gigascience paper published today reports. The authors at Ben-Gurion University of the Negev analysed more than 35 million papers and explored research (scientometric trends) related to nine different infectious diseases.

Montréal was the venue for Medical Imaging with Deep Learning 2020 (MIDL 2020) that took place on 6-9 July 2020. Due to the COVID-19 crisis, like many meetings this year (such as the ISMB conference we attend every year), the new normal has been to make it a virtual conference.

C19RapidReview: cross publisher collaboration against the coronavirus pandemic The COVID-19 pandemic has created a new urgency to openly and rapidly share and review relevant research, with the world looking to science to solve the problems we currently face. While we’ve written about constructive things you can do while in lockdown, there are many more things you can’t do while locked out of the lab.

Stuck indoors and bored of passively reading information on the coronavirus (and more) when you could be doing something more constructive? GigaScience now has hypothes.is integration for collaborative annotation, and we would encourage readers to interact with our content more collaboratively.