The FAIR principles require research data to be published with complete metadata and ideally shared at different key milestones during the research. However currently, data publication and sharing happen mostly at the end, and published data mostly lack important supplementary information and metadata limiting its reusability. On the other hand, regular high-quality data publication takes time and requires manual interaction with the data repositories.
fairly toolset aims to bridge this gap by enabling easy research data publication directly from your digital research environment. The toolset, which includes a JupyterLab extension, a command-line tool, and a Python library, allows quick research data cloning, local data and metadata management, unattended upload of large datasets, and smart synchronization with remote data repositories with minimum effort. During the training you will learn how to access and download datasets by using the toolset, and how to create and upload your own research datasets to popular research data repositories, such as Zenodo, figshare, and 4TU.ResearchData.
The workshop is organized in collaboration with the Open Science Community Twente and covers the following aspects:
- Fundamentals of research data management
- Popular research data repositories: Zenodo, Figshare, Dataverse, 4TU.ResearchData
- Accessing and downloading research datasets with fairly toolset
- Creating and managing research datasets with fairly toolset
Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on.
Date
27 November 2025, 9:00 - 12:30
Venue
ITC Building, Room LA 2105
Hallenweg 8, 7522 NH Enschede
Prerequisites
The participants should have basic familiarity with using Python and a command shell, and we expect participants also to be acquainted with text editors like Vim, Nano, or Notepad++.
Registration
Registration is required to attend the workshop. The capacity is limited to 25 participants.
In case of more registrations, the participants will be selected randomly, considering the balance between staff and students.
Please fill-in the registration form if you are intererested to attend the workshop.
Instructors
Schedule
9:00 - 9:15 | Welcome and icebreaker |
9:15 - 9:30 | Introduction to research data publishing |
9:30 - 10:00 | Research data repositories: Zenodo, Figshare, Dataverse, 4TU.ResearchData |
10:00 - 10:15 | Introduction to fairly toolset |
10:15 - 10:30 | Coffee break |
10:30 - 11:00 | Research data management with fairly Jupyterlab extension: Jupyter Fairly |
11:00 - 12:00 | Research data management with fairly command line interface: fairly CLI |
12:00 - 12:30 | Advanced research data management with fairly Python package |
12:30 | Wrap-up |
For more information or questions, please contact Dr. Serkan Girgin (s.girgin@utwente.nl).