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Contribute
Building Blocks
Configure your computer
Statistics and ComputationGet Text Editors Install Python Packages Set up Git and GitHub Set up LaTeX Set up MATLAB Set up Pandoc Set up Perl Set up Python Set up R and RStudio Set up Stata
Automation and WorkflowsMaking Path Settings Permanent Set up Command Line Tools Set up Make Set up Snakemake Set up TeamViewer Set up the AWS Client
Research InfrastructureLearn About the Various Ways to Setup a Research Infrastructure Getting Started with Research Cloud Set up SURF Research Drive and Rclone to Store Data
Task-specific ConfigurationsConfiguring Python for Web Scraping
Develop your research skills
Learn to CodeLearn Bash Commands Learn Python and Julia Learn R Learn Regular Expressions
TipsSearching for Literature on the Web Build and Maintain a Reference List Cite Efficiently in Your Academic Paper Principles for Good Coding Python Coding Style Guidelines R Coding Style Guidelines Stata Coding Style Guidelines
Collect your data
Web Scraping & APIsAvoid Getting Blocked While Scraping Extract Data From APIs Read & Write Data From APIs Scrape Dynamic Websites Scrape Static Websites
Workflows for Online Data CollectionAssess what Data is Available Calculate Sample Sizes for Web Scrapers Monitor and Safeguard Your Data Quality Online Data Collection and Management Safeguard Legal Compliance When Scraping
Store and document your data
Store DataChoose a Data Repository for Long-Term Storage Configure Environment Variables Download Data Programmatically Use AWS S3 Buckets
Document DataDocument New Data README Best Practices
Prepare your data for analysis
Data PreparationImport Large Datasets Into R Manipulate Data Clean Data Scraped From Social Media Data Preparation and Workflow Management
Analyze data
RegressionsRun a Regression Analysis Impact evaluation with Difference-in-Differences and Regression Discontinuity
Machine LearningIn-depth Introduction to Machine Learning and R
Automate and execute your work
Automate your WorkflowUse Makefiles to Re-Run Your Code Use this Checklist to Improve Your Project's Structure Make Tables and Figures Reproducible with Autofilling Values Automatically Install R Packages Used in a Project Integrating Stata in Automated Workflows Schedule Recurring Tasks (e.g., by day, hour) Share Large Temporary Files Use Software Environments to Ensure Replicability
Collaborate and share your work
Version and Share Code with GithubGet Started with Using Git and GitHub The Most Important Git Commands You Should Know Contribute to Open Source Projects The GitHub Workflow Exclude Files from Versioning Make Your Code Citable with DOI Remove Sensitive or Large Files From Your Repository Working With Large Files on GitHub Archiving Repositories when They're Done Export Repositories with Github Releases
Write your PaperWrite a Professional Research Paper with LyX Create Slides in No Time with LyX Get Started With Our Bookdown Thesis Template Get Started With Our LaTeX Templates Export Your Tables for Print-ready Publications Cheatsheet for LaTeX Math Commands
Professionalize Project ManagementManage your Projects using the GitHub Project Board How to Prepare for (and Follow-up On) Scrum Meetings Write GitHub Issues That Get the Job Done Bring Open Science Practices to your Research Group
Publish on the WebBuild Interactive Dashboards With R Shiny

Be smart.
Conduct your research differently.

Tilburg Science Hub gives you the tools and guidance to be in control and save time in your empirical research projects.

Learn science the new way, with our online tutorials
Use our code snippets in your projects right away
Kickstart your project with our curated examples

Code like a pro.
Conventions make the difference.

Learn to write clean code, use conventions and version control to catch mistakes easily, make your work future-proof, and allow others to quickly review it.

New team? No problem.
Onboarding made easy.

Learn how to make teamwork exciting, not only efficient! Use SCRUM and collaboration tools to assign roles, manage tasks, and define milestones so that nobody is left behind.

Automate your project.
No more waiting behind a screen.

Learn to automate your research workflow. Don't waste time manually running each step. Let your computer take care of it for you, while you can work on something else.

Need more power?
Scale it up.

When the going gets tough, the tough get cloud computing. Learn to quickly resume your work running instances on remote servers.

Who we are


Tilburg Science Hub is an open-source project run by researchers from Tilburg University, in The Netherlands. We seek to enable students, researchers, and data science teams to set up, manage, and collaborate more efficiently on empirical research projects.