Contribute
Tutorials Building Blocks Examples About
Contribute
Building Blocks
Configure your computer
Statistics and ComputationPython Python Packages R and RStudio Stata MATLAB Perl Pandoc Text Editors LaTeX Git and GitHub for Version Control
Automation and WorkflowsCommand Line Tools Automation with GNU Make Snakemake Making Path Settings Permanent TeamViewer AWS Client
Task-specific ConfigurationsConfiguring Python for Web Scraping Software Environments
InfrastructureSetting Up and Using a File Exchange
Develop your coding skills
Learn to CodeLearn R Learn Python and Julia Learn Regular Expressions Learn Bash Commands
TipsPrinciples for Good Coding
Organize your project
Infrastructure ChoicesInfrastructure Requirements Workflow Checklist
Collect your data
Web Scraping & APIsScrape Static Websites Scrape Dynamic Websites Avoid Getting Blocked While Scraping Extract Data From APIs Read & Write Data From APIs
Workflows for Online Data CollectionData Availability Assessment Ensure Legal Compliance Webscraping Monitor and Safeguard Your Data Quality Calculate a Technically Feasible Sample Size
Store and document your data
Store DataChoose a Data Repository for Long-Term Storage Download Data Programmatically Configure Environment Variables Use AWS S3 Buckets
Document DataDocument New Data
Prepare your data for analysis
Data PreparationManipulate Data Clean Data Scraped From Social Media: Likes and Followers Count
Analyze data
RegressionsRun a Regression Analysis
Automate and execute your work
Automate your WorkflowWhat are Makefiles? Task Scheduling
Error HandlingStata Error Handling when Using Make
Collaborate and share your work
Use GitHub to Share your WorkVersioning using Git and GitHub Work with Large Files on GitHub The Most Important Git Commands You Should Know README Best Practices Make Your Code Citable with DOI
Write your PaperWrite a Professional Research Paper with LyX Create Slides in No Time with LyX Get Started With Our LaTeX Templates Export Your Tables for Print-ready Publications Cheatsheet for LaTeX Math Commands
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


Catch mistakes
early.

No code is perfect, and making mistakes is part of the process. Following the principles of reproducible science, you will be able to catch mistakes early. And fewer mistakes means faster progress.

Automate
your pipeline.

Have you ever considered how much time you've wasted waiting behind a screen for data preparation or results? When automating your project, you let the computer take care of it for you, while you can work on something else.

An efficient way of
collaborating.

Colleagues still using GitHub like Dropbox? Learn how to collaborate using code versioning the right way.

Reach a broader
audience.

Share your work the new way, with websites, dashboards, and videos.

A source of
inspiration.

Check out our examples from real-life research projects to help you get started with your own one.

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.