Regional Analytics Laboratory

RAnLab is a part of Memorial University that aims to support evidence-based policies for regional development through capacity building initiatives and regional economic and spatial analytics.

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Local Data Expertise

Need help analyzing and managing data and information? We partner with governments and organizations to solve local challenges.

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Data to Decisions

Do you want to incorporate more data into your everyday decision-making? We created this practical guide just for you.

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Newsroom

Want to learn more about RAnLab's work? Check out some of our most recent projects and media mentions.

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What We Offer

Recent News

Data Literacy

Data Releases are Fast and Furious

Data releases are frequent, dashboards and visualizations are plentiful, and computers are more powerful than ever!

Data Literacy

From Start to Finish: A Walk-through of the Data Journey

Are you ready to start the data journey but not sure how to get started? We created a video series to help!

Data Literacy

What is metadata and why is it important?

Metadata is a type of data that describes and provides information about other data. Essentially, metadata is data about data.

Data Literacy

5 Common Data Caveats

A data caveat is a warning associated with a dataset – documenting and paying attention to caveats strengthens your work!

STAY IN THE KNOW

Get the latest information about data in Newfoundland and Labrador, event invitations, and more!

Who We Are

The Regional Analytics Laboratory is an initiative of the the Leslie Harris Centre of Regional Policy and Development at Memorial University.

The Harris Centre has two primary goals:

To assist in the responsible development of the economy and society of Newfoundland and Labrador
To stimulate informed discussion of important provincial issues

RAnLab regularly collaborates with other members of the Harris Centre team to support projects through data analysis and capacity-building. The Harris Centre's frequent consultations with industry experts and policy makers, funded research projects, and engagement with local communities positions RAnLab with the important contextual information required for good quantitative analysis.

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