PUBLISHING RESEARCH DATA WITH FAIRLY TOOLSET
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 4TU.ResearchData.
The workshop, organized in collaboration with TU Delft Digital Competence Centre, covers the following aspects:
- Fundamentals of research data management
- Popular research data repositories: Zenodo, 4TU.ResearchData, etc.
- Accessing and downloading research datasets with fairly toolset
- Creating and managing research datasets with fairly toolset
DATE
15 May 2024, 13:00-17:00
VENUE
ITC Building, Room LA 2301
Hallenweg 8, 7522 NH Enschede
REGISTRATION
Registration is required to attend the workshop. Please register by filling out the registration form until 10 May 2024.
Read more information on the workshop.
