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Berkeley Initiative for
Transparency in the Social Sciences

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MOOC: Transparent and Open Social Science Research

  • Week 1: Introduction
  • Week 2: Publication Bias
  • Week 3: Pre-Registration, Pre-Analysis Plans, and Meta-Analysis
  • Week 4: Replication and Open Data
  • Week 5: Data Visualization

MOOC: Week 5

  • Data Visualization
    • Introduction to transparent data visualization
    • How graphics reveal data
    • A brief history of maps, time-series, and charts
    • Graphical excellence and integrity
    • What should we do to improve our graphs and figures?
    • Making graphics more transparent and compelling
  • Looking Forward
    • The (r)evolution of scientific practice and methods
    • Trends in social science in the last 25 years
    • How to spread transparency

Data Visualization

Social scientists can improve transparency in their research by using good visual representations of their data. In this activity, we’ll introduce you to transparent data visualization.

5.1 Introduction to transparent data visualization

5.2 How graphics reveal data

5.3 A brief history of maps, time-series, and charts

5.4 Graphical excellence and integrity

5.5 What should we do to improve our graphs and figures?

5.6 Making graphics more transparent and compelling

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