This repository contains the slides and Jupyter notebooks used in the workshop 'FAIR and Frictionless workflows for tabular data' organized by 4TU.ResearchData and Frictonless Data. The workshop was run on the 28 and 29 of April 2022 in an online format.
The programme of the workshop was as follows:
- 12:30 – 13:00 – Installation problems/questions
- 13:00 – 13:10 – Welcome
- 13:10 – 14:25 – FAIR/Reproducible research and data organization (Repository) - (Slides)
- 14:25 – 14:40 – Break
- 14:40 – 15:50 – Frictionless data framework
- 15:50 – 16: 00 – Break
- 16:00 – 17:00 – Frictionless Describe and Extract Python functions (Notebook)
- 12:30 – 13:00 – Installation problems/questions
- 13:00 – 13:10 – Welcome
- 13:10 – 13:25 – Brief recap
- 13:25 – 14:30 – Validate and Transform functions and Data package (Notebook)
- 14:30 – 14:45 – Break
- 14:45 – 16:15 – Validate and Transform functions and Data package (Notebook)
- 16:15 – 16:25 – Break
- 16:25 – 16:50 – Data publication & 4TU.Researchdata
- 16:50 – 17:00 – Wrap up & closing
The team organizing and running the workshop was:
- Eirini Zormpa - Trainer on RDM and Open Science at TU Delft library & 4TU.ResearchData
- Lilly Winfree – Product Manager, Frictionless Data project at Open Knowledge Foundation
- Nicolas Dintzner – TU Delft Data Steward of the Faculty of Technology, Policy & Management
- Katerina Drakoulaki – Postdoctoral researcher, Psycholinguistics and Neurolinguistics lab, National and Kapodistrian University of Athens & Frictionless Data for Reproducible Research Fellow
- Aleksandra Wilczynska – Data Manager at TU Delft Library & the Digital Competence Center
- Evgeny Karev – Senior Developer at Open Knowledge Foundation
- Sara Petti – Project Manager at Open Knowledge Foundation
- Paula Martinez Lavanchy – Research Data Officer at TU Delft Library & 4TU.ResearchData
This work is licensed under a Creative Commons Attribution 4.0 International License.
