When I completed my doctoral work, one of the most unexpectedly transformative parts of the process wasn’t the research design or even the writing—it was going through the Institutional Review Board (IRB). For anyone outside higher education, the IRB is the group that ensures research involving people is conducted ethically, respectfully, and with transparency.

Oddly enough, as soon as I immersed myself in the IRB process, my librarian brain lit up.

There were so many lessons here that directly apply to the everyday work of library staff—especially when we gather data, run surveys, conduct focus groups, or try to understand our communities better.

Recently, I taught a workshop called Gathering Data Like a Researcher, where we explored these overlaps and translated academic research principles into practical tools library staff can use right now. Consider this your behind-the-scenes tour of that session.

Why Libraries Need a Research Mindset

Libraries collect data constantly—program attendance, circulation statistics, digital use, website analytics, and user feedback. But data without context can easily lead us in the wrong direction.

A research mindset helps us slow down, ask better questions, and avoid the assumptions that skew results. It turns data into meaning, not just numbers.

In the workshop, I reminded participants that being a researcher isn’t about being perfect—it’s about being intentional. Researchers are trained to examine their biases, follow transparent processes, and treat participants with respect. Library staff can do the same.

Lesson 1: Start With the Real Question

The IRB forces you to clearly define:

What are you trying to learn? Why does it matter? How will you use the results ethically?

When libraries apply this lens, our surveys get sharper, our focus groups become more meaningful, and we stop asking ten questions when three will do.

A good data-collection plan starts with the “why,” not the tool.

Lesson 2: Respect Your Participants

IRB protocols emphasize consent, clarity, and minimizing risk.

While library data isn’t typically “human subjects research,” the spirit of the IRB still applies:

Tell people why you’re collecting information. Let them opt out. Avoid collecting anything you don’t actually need. Keep responses confidential whenever possible.

People are more honest—and more generous with their feedback—when they feel respected.

Lesson 3: Avoid Leading Questions

Researchers learn quickly that even a subtle assumption baked into a question can derail a study. Libraries can fall into this trap too:

❌ “How much did you enjoy the program?”

✔️ “How would you describe your experience with the program?”

Small shifts create space for authenticity.

Lesson 4: Data Isn’t Just Numbers

One of the best discussions in the workshop was about balancing quantitative and qualitative data.

Numbers show patterns. Stories, quotes, and themes show the human side of those patterns.

Good researchers—and good libraries—use both.

Lesson 5: Context Is Everything

A program that suddenly drops in attendance may look like a failure. But with context—staffing shortages, a shift in school schedules, external events, even weather—the picture changes.

In academia, IRB forms push researchers to consider outside influences that might affect results. Libraries can take the same approach:

Always look for the story behind the data.

Lesson 6: Reflection Makes the Data Better

After finishing a study, researchers are encouraged to reflect:

What worked? What didn’t? What would you change?

Library staff deserve the same pause for reflection. Without it, we repeat mistakes, misread results, or overlook success.

Bringing It All Together

Whether you’re a frontline staff member collecting informal feedback, a manager analyzing statistics for strategic plans, or someone preparing for a community needs assessment, the IRB mindset can help you gather data with more clarity, respect, and confidence.

In other words:

You don’t have to be a researcher to think like one.

And when library staff think like researchers, we build stronger services, deeper trust, and better community outcomes.