Building Blocks

Configure your computer

Statistics and Computation

Get 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 Workflows

Making Path Settings Permanent Set up Command Line Tools Set up Docker Set up Make Set up Snakemake Set up TeamViewer Set up the AWS Client

Research Infrastructure

Learn About the Various Ways to Setup a Research Infrastructure Cloud Computing with SURFsara's Cartesius Cluster Cloud Computing with SURFsara's LISA Cluster Getting Started with Research Cloud HPC TiU for Cloud Computing Set up SURF Research Drive and Rclone to Store Data Use Google Colab to Run Python in the Cloud

Task-specific Configurations

Configuring Python for Web Scraping

Develop your research skills

Learn to Code

Learn Bash Commands Learn Python and Julia Learn R Learn Regular Expressions

Tips

Searching 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 & APIs

Avoid Getting Blocked While Scraping Extract Data From APIs Read & Write Data From APIs Scrape Dynamic Websites Scrape Static Websites

Workflows for Online Data Collection

Assess what Data is Available Calculate Sample Sizes for Web Scrapers Monitor and Safeguard Your Data Quality Online Data Collection and Management Online Data Sources for Economists Safeguard Legal Compliance When Scraping

Store and document your data

Store Data

Choose a Data Repository for Long-Term Storage Configure Environment Variables Download Data Programmatically Use AWS S3 Buckets

Document Data

Document New Data README Best Practices

Prepare your data for analysis

Data Preparation

Handle Large Datasets In Python Import Large Datasets Into R Manipulate Data Clean Data Scraped From Social Media Data Preparation and Workflow Management

Analyze data

Regressions

Run a Regression Analysis Evaluate Model Assumptions Impact evaluation with Difference-in-Differences and Regression Discontinuity Synthetic control for impact evaluation

Machine Learning

In-depth Introduction to Machine Learning and R

Automate and execute your work

Automate your Workflow

Use Makefiles to Re-Run Your Code Use this Checklist to Improve Your Project's Structure Make Tables and Figures Reproducible with Autofilling Values tableFill for Reproducible Tables 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

Make your Work Reproducible

Use Software Environments to Ensure Replicability Import and run a Python environment on Google cloud with Docker A Better Way to Manage your R Packages: Packrat Docker for Reproducible Research Run RStudio on AWS using Docker

Collaborate and share your work

Write your Paper

Use Overleaf to Collaborate on Research Papers Write 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 Stata Graphs Made Easy Export Your Tables for Print-ready Publications Cheatsheet for LaTeX Math Commands

Professionalize Project Management

Manage 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 Web

Build Interactive Dashboards With R Shiny Publish e-books and interactive articles directly from R