About the Data Hub tool

Data is the fundamental building block in the process to answer questions and enable conversations around usage, engagement, adoption, assessment, and more.

The Data Hub tool allows administrators to access pre-defined collections of data (data sets) from the Brightspace platform. Administrators can filter the data sets and then export them as CSV files for further analysis in third party tools. This grants administrators the flexibility to filter, aggregate, and transform the data according to their needs.

The Data Hub tool supports the following data set types:

  • Advanced Data Sets - comprised of more complex data sets that join and aggregate data across multiple tables from Brightspace Learning Environment.
  • Brightspace Data Sets - contain raw, user-level data from Brightspace Learning Environment.

Each data set type is controlled by separate tools, configuration variables, and permissions. The data sets that you see in the Data Hub depend on your Brightspace configuration.

Important: Due to the current method for calculating full and differential data sets, all data sets may contain duplicate rows that share identical values. D2L recommends that the tool or automated process that reads your data sets is designed to manage or strip duplicate rows.

From the Data Sets tab, use the Search field to search for a specific data set, or click the Category column to sort data sets by category.

The Job Status tab lists the submission date and status of Advanced Data Sets.

The user interface for the Data Hub tool

Benefits of using the Data Hub tool

Specific benefits of the Data Hub include:

  • Gain access to raw, user-level data

    Use the Data Hub tool to gain access to data sets in CSV format.
  • Easily combine data sets

    Advanced Data Sets and Brightspace Data Sets are designed to work with each other. Import your data sets into a database to combine the data sets you need to create more complex data sets or reports.
  • Create custom aggregations and filters

    Import your data sets into a database to allow you to filter and aggregate on the fields that answer your questions. You can always review the user-level data to fine-tune your results.
  • Generate data visualizations and reports

    Import your data sets into a database to use with your favorite Business Intelligence (BI) tool or spreadsheet and create data visualizations.
  • Use your data for research
    Mine your data and combine with data from other systems for research to gain further insights.