Short description:
Creating file and folder organization structures can help groups of researchers collaborate and keep track of the data they use in a project. Using a good structure cannot only help researchers know how to name their files, where to place them, but also their colleagues to navigate to a project folder and find what data exists, and what still needs to be created. In this workshop the Data Team will demonstrate how to create a proper folder structure that can be easily shared within a research group, as well as good file naming tips to know the content of a file from the file name.

Duration: 1.5 hour

Available dates:

Short description:
Comprehensive documentation about your dataset is key for research reproducibility. It helps increase the FAIRness of your data and the impact of your dataset, by helping others to understand and use your data/code.

However, understanding what comprehensive documentation entails and preparing it can be daunting. What are the differences, if any between documentation and metadata? What information do I need to include in my documentation? What are metadata schemes?

In this workshop, you’ll learn about this and more. At the end of this session you will know how to prepare a README file, what different types of metadata exist and how to choose the best metadata schema for your dataset/codes.

Duration: 1,5 hour

Available dates:

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Short description:
UU researchers have access to Microsoft software and cloud storage such as Teams, SharePoint, and OneDrive.

In this workshop you will learn how to create and manage Teams, add tools for planning, calendars, wikis, notebooks to the team, and store and manage data within the Teams environment and associated SharePoint. You will also learn about managing and sharing data with OneDrive.

This workshop is cohosted with the Faculty of Geosciences. 

Duration: 1,5 hour

Available dates:

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Short description:
Collecting and generating data is one thing, but to make data ready for sharing with collaborators from UU and external institutes, asks for different preparations. There are different platforms available to choose from, in addition it is important to provide the data in a suitable way and format with sufficient documentation. In this workshop the different platforms for sharing data will be treated, also considering the type of data to be shared, user-friendliness of the platform and possibilities in granting access to the data. This allows you to determine which method and platform to share your research data will suit you best.

This workshop is cohosted with the Faculty of Geosciences. 

Duration: 1,5 hour

Available dates:

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Short description:
YoDa is the standard and reliable data repository provided by UU. It helps you manage your data from earlier stages till publishing. To use that efficiently, one needs to have some basic practical knowledge about that. In this workshop, we give you hands-on experience on how to access YoDa, upload data, share data, and publish data on YoDa.

This workshop is cohosted with the Faculty of Geosciences. 

Duration: 1,5 hour

Available dates:

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Short description:
Jupyter Notebook is an open-source web application that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. It supports various programming languages, including Python, R, Julia, and others. Jupyter Notebook provides an interactive environment for data analysis, exploration, and visualization, making it a popular tool among data scientists, researchers, and educators. It also allows users to document and share their work with others, making it a powerful collaboration tool.

This workshop is cohosted with the Faculty of Geosciences. 

Duration: 1,5 hour

Available dates:

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Short description:
Good management of research data starts with a good plan!
In this workshop, we will delve into Data Management Plans (DMPs) as a tool to help you ensure that your research is reproducible and compliant with the latest research standards and funders’ requirements.
During this session, you will gain practical insights and tools to effectively plan how to manage your data, throughout the lifecycle of your project. You will learn best practices that will help you boost your research efficiency, enhance data FAIRness (Findable, Accessible, Interoperable, and Reusable), and increase your research impact.

Note: Do you prefer an online training on how to write a DMP? See the training available at the UU Library “Learn to Write your DMP”.

Duration: 1 hour

Short description:
As a researcher, you are probably already thinking of publishing your research in a journal. But did you know that you also have to consider how to publish your research data? Making your research (meta)data available is not only an essential aspect of making your data FAIR, but is also requested by many funders and journals.
Join this workshop and learn about publishing research in an Open Access journal and publishing Open and/or FAIR data. By the end of the workshop, you will know how to publish your research data, including how to get your data ready for publication, how to deal with restrictions on data publishing and how to understand and comply with Open Access journal requirements.

Short description:
Conducting research with human participants and personal data presents the challenge of responsibly handling personal information while extracting valuable insights that will advance scientific knowledge and innovations. De-identifying personal data, for example via anonymisation or pseudonymisation, is one way to protect participants’ identity and rights to privacy.In this workshop you will learn techniques and tools for de-identifying personal data in compliance with data protection regulations. Whether you are a seasoned researcher or a graduate student embarking on your first research project, through presentations, discussions and practical exercises this workshop will equip you with valuable insights to apply data de-identification principles in your project. BYOD Session: This workshop will feature a BYOD (Bring Your Own Data) Session! During the (optional) second part of the workshop you can practice de-identification on your own dataset and receive personalised guidance and support.Duration: 2 hours (Last 45 min is a BYOD session)