Fairly Toolset Workshop

TU Delft Digital Competence Centre

A hands-on training on a new open-source toolset to integrate computational research environments and data repositories across disciplines.

X TU Delft

Computational research environments facilitate research data production by providing the necessary processing and analysis tools. They are well connected to some research infrastructure, e.g. code repositories. But, their interoperability with research data repositories is weak, and the researchers need to manually upload their research data to the repositories, mostly through web forms and interfaces.<a href="https://github.com/ITC-CRIB/fairly" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">The fairly toolset</a> seamlessly integrates research environments and data repositories, and allows local data and metadata management, quick data publication, unattended data uploading, smart dataset synchronization, and quick dataset cloning. The toolset includes a Python library providing a standard API to manage and publish datasets on various data repository platforms (e.g. Zenodo, Figshare, 4TU.ResearchData), a command line tool that enables research data management without programming skills, and a <a href="https://github.com/ITC-CRIB/JupyterFAIR" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">JupyterLab extension</a> to manage datasets through a graphical user interface.

The toolset is relevant for researchers at all levels, data stewards, RSEs, data managers, and practically anyone who develops or manages research data and data repositories. The main target group of this event is the TU Delft community. But the invitation is open to research and support staff (specially DCC staff) from all universities in The Netherlands. During the workshop, we will present the toolset, train participants on how to use it to make research outputs FAIR, and collect feedback for improvement and further development.

T﻿his event is sponsored by the <a href="https://www.tudelft.nl/open-science" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Open Science Program</a> and the<a href="https://osc-delft.github.io/index" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer"> Open Science Community</a> of TU Delft via the Mainstreaming Open Science Fund. And co-organized by <a href="https://dcc.tudelft.nl/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">TU Delft Digital Competence Centre</a> &amp; <a href="https://www.itc.nl/research/research-facilities/labs-resources/itc-big-geodata/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Center of Expertise in Big Geodata Science, University of Twente.</a>

Agenda

Welcome

Introduction of the toolset by the developers. How to install and use the JupyterLab extension and command line interface to create and manage local and remote datasets.

 Fairly Toolset

Break

Introduction to the fairly Python package, explanation of the API, and how-to for managing local and remote datasets

Fairly API

Discussion about the needs of the participants, feedback to improve the functionality, and user community aspects of the toolset.

Open Discussion & User Feedback

Community & Networking Activity

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Fairly Toolset Workshop

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Fairly Toolset Workshop

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