Canonical Workflow Framework for Research CWFR
2 June 2021 at 14.00-16:00 CEST
Virtual Working Meeting on Jupyter Usage
In case of interest, please, register here: https://lu-se.zoom.us/meeting/register/u5Mpfu6qrTIsG9Ol7k4T4Ktv5fc2pt4aJCSM
The CWFR initiative is organising an open virtual meeting on the usage of the Jupyter framework for the purposes intended with canonical workflow frameworks. The working meeting will have the following agenda:
- Welcome and Introduction to CWFR (Maggie Hellström, U Lund)
- Introduction to Jupyter Principles (Zhiming Zhao, U v Amsterdam)
- Jupyter application in LiDAR data processing (Zhiming Zhao, U v Amsterdam)
- Jupyter application in weather forecasting (Amirpasha Mozaffari, Research Center Jülich)
- Discussion about how to implement the CWFR use cases on Machine Learning and Experiments (https://osf.io/umhy5/)
- Discussion about how to integrate the FAIR Digital Object (FDO) approach in Jupyter
Further details and speakers will be described at the CWFR website: https://osf.io/y57jf/. It should be noted that we have chosen the title “Working Meeting” to indicate that we will not just have presentations, but also discuss how CWFR thoughts could be implemented. Questions from participants related to their concrete challenges will be welcome.
Please note that while the event is free and open to everyone interested, pre-registration is required using the form at https://lu-se.zoom.us/meeting/register/u5Mpfu6qrTIsG9Ol7k4T4Ktv5fc2pt4aJCSM.
The following working meetings are planned:
- In July (2.7) a working meeting on the RO-Crate framework in the CWFR context
- In September the next working meeting will be organised (title to be announced) Details will be described on time via the CWFR
The CWFR initiative was started to overcome the big gap between the available workflow technology and the practices in the many data labs where workflow technology is still hardly used and where FAIRness is still be shifted to the end phase of projects. Canonical Workflow Frameworks for Research therefore does not want to reinvent technology, but look for libraries of canonical components that can be easily integrated by researchers into workflows to facilitate their work and by applying the concept of FAIR Digital Objects immediately create FAIR compliant digital artefacts. For more information about CWFR we refer to the Position paper (https://osf.io/3rekv/).
For the CWFR Initiative
Limor Peer, Maggie Hellström, Alex Hardisty, Peter Wittenburg Comments/questions: firstname.lastname@example.org