Create New DatasetUsing Datasets As TemplatesDataset BasicsMetadata OptionsAdding Metadata FieldsTestingExample
Modifying DatasetsChanging FieldsDataset StatisticsDeleting Datasets
This is the "Datasets 101" page of the "Creating & Managing Datasets" guide.
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Creating & Managing Datasets  

Last Updated: Feb 10, 2017 URL: Print Guide RSS UpdatesEmail Alerts

Datasets 101 Print Page

What is a Dataset?

A dataset is simply what it says: a set of data you're collecting. You can collect data on anything in your library: questions (reference / circ / info desk / info commons), instruction, projects, foot traffic, feedback forms (website, database trials, etc.), or whatever else your imagination can drum up!

Manage Datasets - Dataset Basics

Think about:

  • What types of data you collect in your library;
  • What types of data you want to collect;
  • What are the logical groupings of data? By service point? By type of data (counts vs. qualitative)? By department?


Writing things out can help you see those logical groupings.

You should collect what is right for your library.

The dataset ideas below may help you in this process...just remember: these are simply ideas to help get the creative juices flowing.

Example Datasets:

Feedback / Forms

instruction form iconInstruction Request Form

  • Form contains hidden fields that only the LibAnalytics account holder can view/edit when logging in

instruction form iconPre-Instruction Assessment

instruction form iconPost-Instruction Assessment
Remember: you don't have to use all of the fields in this example, unless you want to. ;)

feedback iconDatabase Trial Feedback

form iconWebsite Feedback

form iconBook Purchase Request


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