ľ¹Ï¸£ÀûÓ°ÊÓ

As a researcher, you want to ensure that your valuable research has an impact. Check out this online guide to learn more about traditional and alternative ways to measure (metrics and altmetrics) and enhance the visibility and impact of your research.

Best Practices in Writing Reproducible Code

If your code is not reproducible, your work may carry less impact in the future. Join this workshop to become familiar with best practices of open science and FAIR principles to make your code more efficient and reproducible for yourself and others.

When writing an essay or thesis, for instance, it is important that you correctly cite the original source. This online guide helps you on your way by providing practical tips and examples.

Collecting data from the web (online guide)

Collecting data from the web involves repeatable accumulation of data on a large scale. Follow this online guide to make your search and collection more efficient and suitable to your specific research.

Compass: information literacy skills (e-learning)

During your studies, you will be using scientific sources when making assignments or writing your thesis. Follow this online module to learn the basics of effective searches, evaluating and using scientific information.

Compass+: historical sources (e-learning)

Historical sources are hard to find if you don't know where to search. In this online module you learn to search for historical sources and how you can use several search systems in your search.

Compass+: systematically searching for literature (e-learning)

You are going to do a literature research, but you don't know where to start. A systematic approach can be very beneficial. This online module shows you step by step what a systematic database search involves.

Copyright for your students

Students will be dealing with copyright when using sources for assignments or when publising their own thesis. In this workshop your students will learn about copyright, Creative Commons-licenses and conditions stipulating the use of work by others in your own work, based on realistic cases.

Copyright in teaching

As a lecturer, you have to deal with copyright if you use materials of others in your teaching. That is why it is essential to know what you can and cannot do with this material. In this workshop you learn the major things you need to know about copyright.

Costs of Data Management (online guide)

Managing data and sofware for your research may involve financial costs that are not always covered by the university. Follow this online guide to estimate data management costs and plan ahead.

Data Management in Practice

In this half-day workshop we aim to provide you with hands-on experience on working with data.

Data Management Planning (online guide)

Lack of a detailed Data Management Plan (DMP) can make your data less efficient and valuable for yourself and others in the future. Learn to track and update all aspects of your data, both during and after your project.

Incorrect handling of personal data in your research can jeopardize the results and reusability of your research. This online handbook provides knowledge and best practices on properly working with personal data.

Navigating large digitalized newspaper archives can be crucial for your research, but ensuring you get the best results may prove challenging. This workshop provides an introduction to digital tools that facilitate efficient search of newspaper archives.

You need relevant and good-quality sources when you want to do a good (literature) research. This online guide gives you more insight into several methods and resources to evaluate sources on relevance and scientific nature.

Finding existing data (online guide)

Finding existing data may save you time before and during your research. Follow this online guide to learn how to use existing data.

Georeferencing old maps: Practices and uses for research and education

Georeferencing an old map can be a valuable contribution to your research or education. Follow this workshop to learn how to georeference digitized maps and how to (re-)use them in your own work.

Getting started with Virtual Research Environments (VREs)

Working interactively with software or working collaboratively on code and data can prove challenging. Virtual Research Environments offer a solution. Join this workshop to get started with using VRE.

Getting started with Yoda

Effectively managing research data is an important part of your research. Yoda is a research data mangement tool that can be used to store, share, archive and publish your data. Join this workshop to get started with Yoda.

Google Scholar is a useful search engine to search for scientific publications. But how do you find what you are looking for in this search engine? In this online guide you get many tips on how to use Google Scholar as efficiently as possible.

Handling personal data (online guide)

If you work with personal data, you must take the privacy rights of your data subjects (GDPR) into account. This online guide offers you a flowchart that shows which steps you need to take when you work with personal data.

You cannot always see in the article itself whether or not an article has been peer-reviewed. But how do you find out? See what options you have in this knowledge clip.

How to prompt? That’s the question! (workshop)

Generative AI can create text based on a command (a prompt). In this workshop, you will learn how to write prompts.

How to write an informed consent form (online guide)

Failing to explicitly ask participants whether their personal data can be collected for a particular purpose, means not fulfilling your legal and ethical requirements. Follow this online guide to learn how to write a proper informed consent form.

While AI systems seem like automated tools, they are heavily impact by human influence. In this video, you will learn to answer this question: how are humans involved in each phase of an AI system’s life cycle?

Improve your online presence

How visible are you and your research online? Is it easy for others to find and cite your papers? How many online profiles do you need, and how do you keep them up to date? This and more will be discussed during the workshop Improve your online presence.

Introduction to GitHub

This workshop aims to provide an introduction to Git and GitHub.

Infovaders: Information literacy game in outer space

The information landscape is changing rapidly due to Open Science and AI. Would you like to get a grip? Play this challenging game and reflect on your own role within the publication landscape.

Introduction to Python

Python is a powerful programming language suitable for scientific computing and general-purpose programming. Starting with a new programme can however be a challenge and time-consuming. Follow this one-day workshop and receive the tools you need to start exploring Python and all it has to offer you. This will give you a head start in your programming journey.

Introduction to R & Data

R is a powerful programming language suitable for data handling, visualization, and statistical analysis. Starting with a new program can be a challenge and time consuming. Follow this one-day workshop and receive the tools you need to start exploring R and all it has to offer you. This will give you a head start in your programming journey.

Legal instruments and agreements (online guide)

Before you start your research, it’s important to prepare the necessary documents that clearly outline the conditions for collecting, using, processing, and sharing your data. Read this online guide to learn about the legal instruments and agreements available and when to use them.

Would you like to know more about AI? In this online guide you can read more about what (generative) AI is, what you should pay attention to when using it responsibly and how to write a good prompt.

Metadata and documentation (online guide)

Providing the right metadata and documentation for your research data can be a challenge. This guide provides you with information and good practices.

Navigating Generative AI: Getting to Know Generative AI

Learn how AI models work, such as neural networks and Large Language Models (LLMs).

Navigating Generative AI: Responsible Use

Discover how to use AI safely and ethically, with an eye for academic integrity.

OpenAlex is an open, free and inclusive database of open access publications in all languages and in various formats.

Opening up your education can be hard, because of open licensing and copyright issues. This book offers an overview of (legal) considerations to make it possible to share educational content openly.

Open educational resources - searching (workshop)

Not knowing where and how to search for educational material may discourage you from finding unique and useful teaching materials. Join this interactive workshop to learn how to find and adapt open educational resources shared online.

Open educational resources - publishing (workshop)

When you share open educational resources (OERs) in the right way, others can find and reuse it. Join this interactive workshop to learn how to publish openly.

Open science – an introduction

Everybody at UU will sooner or later have dealings with Open Science and FAIR data. That is why it is important to know exactly what these concepts mean. In this workshop you learn how to apply open science in your research.

Open science – opening up your research workflow

You start your own research but are not yet familiar with available tools that can help you make your research open. In this workshop you will be introduced to several tools which are useful during the research process, and you will get practical tips.

You want to write an open textbook, but how? Writing a texbook with Quarto and publishing it on GitHub allows the textbook to be updated and tracked easily. In this online guide you can find tips and tricks to set up and maintain an open textbook with Quarto on GitHub pages.

As stated in the General Data Protection Regulation (GDPR), you must handle all personal data with care to protect your data subjects' privacy. In this video, you will learn to recognize what is considered personal data. This way, you can identify when you are handling personal data and take the necessary steps to protect your data subjects.

Policies, codes of conduct and laws (online guide)

You need to live up to the ľ¹Ï¸£ÀûÓ°ÊÓ Policy Framework for Research Data. This online guide teaches you about this policy framework, Faculty Data Protocols, research integrity and laws and regulations when handling personal data.

Preserving data for the long term yourself (online guide)

Keeping your data safe for the long term can be a challenge. If you choose to preserve the data yourself, you can find some good practices in this guide.

Privacy basics for researchers (e-learning)

In your research you need to protect the privacy of research participants. This self-paced online module gives you an essential understanding of privacy principles and practices.

Programming café

Sometimes you feel the need to meet other researchers, or ask questions related to programming. For this you can visit the Programming Café. Check the webpage for upcoming dates.

Prompt Battle (workshop)

This is the abridged version of the workshop How to prompt? That’s the question! Learn how to write effective prompts for generative AI.

Publishing and sharing data (online guide)

Increasing the visibility of your data directly affects the potential impact of your research. Maximising the visibility and re-useability of data is a challenge. Read all about publishing your data in a repository or in a data journal.

PubMed is a database with over 36 million biomedical publications. For an efficient search in this database it is important to set up your search in such a way that you limit the number of hits. This online guide helps you with this, resulting in faster and better searches in PubMed.

Quickstart to Research Data Management

Research Data Management is an important part of your research. It ensures that you make the most efficient use of your data during and after your research. In this workshop you learn everything you need to know about RDM.

Managing references is a time-consuming job. Do you want to work more efficiently in managing your references? Reference tools take a lot of work from your hands. In this online guide you read what reference tools are available and how to use them in collecting, citing and organising sources.

As a researchers it is important that your work is visible for peers, funders and society. Do you want to enhance your visibility as researcher? This online guide helps you to improve your online presence using research profiles.

Scopus is a search system containing abstracts of articles and book chapters in all disciplines. To find what you are looking for in Scopus you need an effcient search strategy. This guide helps you with information and tips on search options in the Scopus database.

Searching for (scientific) sources can be tricky due to the enormous number of sources and search systems. Using a good search strategy will result in finding relevant sources much quicker. In this online guide you learn how to set up an effective search strategy.

Compare open search engine OpenAlex with alternatives such as Scopus and Google Scholar.

Learn the essentials of searching with Open Alex, a free and open search engine.

The university library owns unique, valuable and rare printed works, manuscripts, maps and more special material. This online guide helps you in your search for these special materials.

Storing data during research (online guide)

During your research your data is subject to change all the time. In order to keep track you need to store your data properly. In this guide your learn more about good practices in data storing during your research.

Want to learn how to process text corpora to be used in I-Analyzer, and how to search, filter and visualize results? Follow this joint workshop by the ľ¹Ï¸£ÀûÓ°ÊÓ Library and the Centre for Digital Humanities.

The FAIR principles (online guide)

You are expected to make your scientific data as reusable as possible. Learn more about the FAIR principles and the benefits of making your data FAIR.

Visibility Check

Your research output reaches too few people and you don't have a clue what to do about it. The Visibility Check gives information about the findability of publications and offers tips to increase it.

Do you have questions in the field of Digital Humanities? Visit the walk-in hours.

Walk-in hours Research data and software

Are you in search of answers to your questions regarding Research Data or Research Software? Come to our walk-in hours!

Walk-in hours systematic reviews

Being able to do a systematic search for literature is important, but it is also tricky. You need to pay attention to your search strategy, finding the right keywords and the right database. Library staff is happy to help you on your way during these walk-in hours.

Web of Science is a multidisciplinary search engine for journal articles. You need an efficient search strategy to find what your are looking for in Web of Science. This guide offers tips and tricks on search options for Web of Science.

How to use Wikipedia for scientific purposes? In this online guide you will find information and tips on how to do so.

Working safely with research data from home (online guide)

Working with (sensitive) data can be tricky, especially if you are working outside the university. Do you want to avoid all risks? Read more about how to work safely from home.

WorldCat is a catalogue in which you can search collections of libraries worldwide. So with the help of WorldCat you can also search the Utrecht ľ¹Ï¸£ÀûÓ°ÊÓ Library collection. This guide helps you to get the most out of WorldCat.

Write your DMP (e-learning)

Your funder demands a Data Management Plan and you do not know where to start. Take the self-paced online module "Write your DMP" that will guide you through all the sections of your DMP.

Writing Reproducible Manuscripts in R and Python

It can be easy to lose track within your own research project. Learn to set up a reproducible workflow to create a publication-ready manuscript that combines data, R or Python code, text, and references!