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REU @ MU: Home

For students in the NSF-Funded Data Analytics REU Experience

Welcome!

Use this guide to better understand the steps for working through the research process during your NSF-Funded Data Analytics REU Experience.

Here you'll learn about the resources and support available to you by Marshall University Libraries.


First, let's take a moment to answer this quick, anonymous poll.

When poll is active respond at PollEv.com​/sarahmollette705. Send sarahmollette705 to 22333

QR Code to respond to this poll https://pollev.com/sarahmollette705

What was the point of that poll?

That poll was data in action.

  • What can we tell just from looking at the results?
  • What questions could we ask next?

This kind of real-time insight is great—but it’s just a start. When you’re working on real research questions, you’ll want more context, more accuracy, and more depth. That’s where the library comes in.

Let’s say you wanted to research college student sleep patterns. I’ll show you how to use our library tools to find peer-reviewed articles, credible reports, and even datasets to help you answer those kinds of questions.

This guide will help walk you through those next steps. Let's get started!

Use the tabs above, or the Previous/Next buttons below to advance.