Workshop: Research Data Management with Renku
Workshop by Gavin Lee and Cyril Matthey-Doret
Would you like to follow best data practices but do not know where to start? Renku's data management toolkit helps you manage every aspect of your project - data, code, workflows and computational environments - so you can rest easy knowing that someone else (or even yourself 6 months down the line) could find, understand and reuse your research.
Renku ensures traceability by tracking when, how and by who results were produced. Would you rather do your research than learn how to use Docker? Renku provides single-click access to containerized, interactive computational environments without prior knowledge of underlying technologies. These ready-to-use environments are available in different flavors ranging from Jupyter notebooks and Rstudio to fully-fledged desktop sessions running in the browser. Plus, all of your project metadata is indexed in a searchable knowledge graph. In this workshop, you will learn how to use Renku to make your research outputs more Findable, Accessible, Interoperable and Reusable (FAIR).
Gavin is a Data Science Engineer at the Swiss Data Science Center (SDSC) in Zurich. He holds an MSc in Computational Science and Engineering from EPFL as well as a BSc in Financial Mathematics and Statistics from the University of Sydney.
Dr. Cyril Matthey-Doret
Cyril Matthey-Doret works as a Data Science Engineer at the Swiss Data Science Center (SDSC). He holds a Ph.D. in Computational Biology from Sorbonne University and the Institut Pasteur in Paris.