报告人：Scott C. Edmunds, Editor-in-Chief

Abstract: The coronavirus pandemic underlined the importance of open, rapid dissemination of research; as well as increasing public trust by making research outputs easier to access, interact with, and understand. On top of the supporting research data and code needing to be open, it also needs to follow the FAIR principles: being Findable, Accessible, Interoperable and Reusable. Utilizing current best practices in Open Source, and providing accessibility and easy deployment of code using computational workflows, containers, and package and environment management. This talk will present case studies and examples in sharing reproducible research through software publishing. Curating FAIR data and computational workflows and using a new publishing workflow that aims to address these issues using custom-built, end-to-end publishing technology. And also covering new standards and procedures to make sure Machine Learning research is also more transparent and reproducible.

Biography: Editor-in-Chief for BGI’s GigaScience Press, he has co-founded Citizen Science organisations Bauhinia Genome and CitizenScience.Asia and taught data management and curation at Hong Kong University. His academic background includes training in Biochemistry at Imperial College and a PhD on the Molecular Pathology of Ocular Melanoma at the Royal London Hospital, where his research mainly focused on Cancer Cell and Molecular Biology. After postdoctoral positions on Cancer Molecular Pathology at the WHO International Agency for Research in Cancer in Lyon and Institute of Cell and Molecular Sciences in London (Queen Mary) he was senior scientific editor for the BMC Genomics and Bioinformatics journals at BioMed Central before moving in 2010 to Shenzhen and Hong Kong to set up the GigaScience journal and GigaDB database for the BGI.

时间：2023.10.13，9:00-11:00

地点：北衡楼1317