Our first 2024 round of workshops is coming soon !
The data support teams of the Faculty of Science and the Faculty of Geosciences are cohosting a series of workshops on different research data management topics during October and November 2023.
Most of the workshops are offered twice in the coming period. During the registration you can choose the workshop(s) and date(s) you want to register to.
Please note: All workshops are in-person. Upon registration you will be notified on the location of the workshop (s) you have registered to.
Workshop catalog:
1. Organizing your data for reproducible research.
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.
Available dates:
2. Documenting Research Data in a README file.
A Readme file is a simple documentation file that can be included with data packages, and it is a way to convey information to yourself and others about your data packages. Documenting your data packages can help you remember where you have placed data, how you structured data, which can be helpful when revisiting data after a vacation or a few years. Also, README files help others to understand and use your data/code. In this workshop, you’ll learn how to prepare, how to edit, and what information to put in README files.
3. Managing Research Data in Office365.
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.
4. Preparing Metadata in Practice.
Metadata is all about giving information about data, code, or any digital object. Metadata can help you and others to interpret data better. Metadata can be provided in different forms but for practical purposes, the metadata needs to be readable by humans and machines. In this workshop, we introduce different types of metadata and give you guidelines for choosing the best metadata schema for your dataset/codes.
5. Sharing Data within UU and Outside.
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.
6. Managing Research Data in Yoda.
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.
7. Getting started with Jupyter Notebooks.
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.
8. Making your project privacy compliant
Using personal data in the age of the GDPR is a tough challenge. This workshop will show you how to organize the handling of personal data of your project. Whether you are a seasoned researcher or just starting your PhD, running a multinational research project or a single survey, starting a webpage, organizing a conference or running a newsletter, it is important to learn how to shape your data processing to comply with the GDPR.In this workshop we aim to demonstrate a solution for organizing personal data with full GDPR compliance using the “Privacy Scan”. The Privacy Scan is a tool developed to facilitate evaluating and documenting a project’s GDPR compliance. The privacy scan is based around four core components which must be applied for all activities: have a clear and legitimate purpose, design a safe data processing, inform and provide adequate control to the people behind the processed data, and document your compliance using the privacy scan format.
9. Planning Data and Software Management
Good management of research data and software starts with a good plan! Are you a researcher working with several data and scripts or code? Then this workshop is for you.
In this workshop, we will delve into Data Management Plans (DMPs) and Software Management Plans (SMPs). Planning for your research project helps 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 software and data, throughout the lifecycle of your project. You will learn best practices that will help you boost your research efficiency, enhance the FAIRness (Findable, Accessible, Interoperable, and Reusable) of your data and software, and increase your research impact.Note: This workshop complements the online training available at the UU Library “Learn to Write your DMP”. If you’re eager to explore DMP creation in greater detail, make sure to check out “Learn to Write your DMP” for an in-depth training course.
Duration: 1 hour
10. Getting Started with Programming
Join our ‘Getting Started with Programming’ workshop to embark on your coding journey! Whether you’re a complete beginner or looking to refresh your coding skills, this interactive session will introduce you to the fundamentals of programming. We’ll cover key concepts and tips for choosing a programming language that fits your purpose. We will also introduce key programming tools and resources to support continued learning in a beginner-friendly environment. By the end of this workshop, you’ll have a solid foundation to start programming, know where to find answers to your questions, and explore the exciting world of coding.
Duration: 1 hour
Available dates:
You can check out the courses below, join the monthly Programming Café from RDM Support or keep an eye on the UU/UMCU Programming community on Microsoft Teams.
Faculty of Science specific workshop
11. Data publication: taking your research from the lab to the journal
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.
Duration: 1,5 hour
Available dates: October 26th, 13:30 to 15:00
These workshops are complementary to the courses offered at the University Library. Click here to see all their courses.