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GigaByte : Publishing at the Speed of Research.

Scott C EdmundsLaurie Goodman
Published in: GigaByte (Hong Kong, China) (2020)
Current practices in scientific publishing are unsuitable for rapidly changing fields and for presenting updatable data sets and software tools. In this regard, and as part of our continuing pursuit of pushing scientific publishing to match the needs of modern research, we are delighted to announce the launch of GigaByte , an online open-access, open data journal that aims to be a new way to publish research following the software paradigm: CODE, RELEASE, FORK, UPDATE and REPEAT. Following on the success of GigaScience in promoting data sharing and reproducibility of research, its new sister, GigaByte , aims to take this even further. With a focus on short articles, using a questionnaire-style review process, and combining that with the custom built publishing infrastructure from River Valley Technologies, we now have a cutting edge, XML-first publishing platform designed specifically to make the entire publication process easier, quicker, more interactive, and better suited to the speed needed to communicate modern research.
Keyphrases
  • electronic health record
  • big data
  • data analysis
  • minimally invasive
  • healthcare
  • high throughput
  • social media
  • machine learning
  • cross sectional
  • artificial intelligence