DataShop @CMU

Table of Contents

1. What is DataShop?
2. Getting Data In
   1. Logging New Data
   2. Importing New Data
      1. Tab-delimited format
      2. XML format
3. Accessing DataShop
   1. Requesting Dataset Access
4. Project / Dataset Administration
   1. IRB & Data Shareability
   2. Creating new Datasets from existing Samples
5. Citing DataShop and Datasets
6. Glossary
7. Reports
   1. Dataset Info
      1. Overview
      2. Samples
      3. KC Models
      4. Custom Fields
      5. Problem List
      6. Step List
      7. Problem Content
   2. Files
   3. Performance Profiler
   4. Error Report
   5. Learning Curve
      1. Examples
      2. Algorithm
      3. Student-Step Rollup
      4. Model Values
   6. Workflows
8. Filtering Data
   1. By student, KC, and problem
   2. Sample Selector
9. Export: Getting Data Out
   1. Export Format History
10. Using Other Tools
    1. External Tools
    2. R (software)
    3. Excel PivotTables
11. Advanced
    1. Web Services Credentials
       1. User Agreement
    2. Logging Activity
    3. Metrics
12. Examples
13. Contact Us

What is DataShop?

The Pittsburgh Science of Learning Center (PSLC) DataShop is a data repository and web application for learning science researchers. It provides secure data storage as well as an array of analysis and visualization tools available through a web-based interface.

DataShop is funded by a National Science Foundation grant (SBE-0836012) to LearnLab, the Pittsburgh Science of Learning Center. Previously it was funded by NSF award number SBE-0354420.

Starting Points

• If you're not familiar with the project or web application, see our FAQ.
• For the latest project news, visit our home page.
• Browse our documentation using the table of contents to the left.
• Watch our tutorial videos on YouTube.
• Download the DataShop Cheat Sheet (PDF).

An introduction to using DataShop for exploratory analysis

View more DataShop tutorials on YouTube