How to create and publish FAIR research datasets directly from your research environment?

  • Girgin, S. (Speaker)
  • Manuel Garcia Alvarez (Speaker)
  • Jose Urra Llanusa (Speaker)
  • Kees den Heijer (Speaker)

Activity: Talk or presentation › Oral presentation

Description

The FAIR principles require research data to be published with complete metadata and ideally shared at different key milestones during the research. However, currently this requires creation of dataset records and uploading of large data files to data repositories manually, which is time consuming. In this workshop, we will present and demonstrate open-source faily Python package and JupiterFAIR JupyterLab extension we developed, which allow to easily create and quickly publish research datasets to popular research data repositories, such as Zenodo, figshare, and 4TU.ResearchData. At the end of the workshop the participants will be able to perform these tasks with ease.
Period29 Nov 2022
Event titleFAIR Data Day 2022: Reusing Data to Advance Science
Event typeConference
LocationUtrecht, NetherlandsShow on map
Degree of RecognitionNational

Keywords

  • FAIR
  • JupyterLab
  • Python
  • Data publication
  • Dataset
  • Research data
  • Research support software

Documents & Links