Let’s talk about data literacy. Data is already ubiquitous in our day-to-day lives, so even if you don’t work with data directly, it’s still important to understand it. In this episode, we provide a brief introduction to our three part series on data literacy, which spans the issues of data collection, analysis, and communication/visualization. We also cover the first of these three topics.

Timestamps:

1:30 : What is data literacy?

2:35 : Why is data literacy important?

4:12 : A way of thinking about data: Inputs, processes, and outputs

7:05 : Inputs: Data collection and measurement

9:40 : General pros and cons of measurement instruments

19:35 : Collecting data from the right people at the right time

24:05 : Statistical power

24:50 : Validity (accuracy) and reliability

31:30 : Wrap-up

Mentioned This Episode:

Gartner – A Data and Analytics Leader’s Guide to Data Literacy

Some episodes covering issues of data literacy:

Why Can’t We Hold All These Personality Models? (Validity and personality)

Bad Behavior at Work (Measuring and preventing counterproductive work behavior)

Of Metrics and Interventions (Examining the “right” metrics and data quality)

Of Metrics and Interventions – Part 2 (The danger of focusing on too few metrics and how picking metrics can actually influence human behavior)

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Mindyourwork.io – Find us here!

Credits:

Our intro and outro music is “Ingenuity” by Lee Rosevere, licensed under Creative Commons (CC BY-NC 3.0). You can find more of Lee’s music at https://leerosevere.bandcamp.com/. https://leerosevere.bandcamp.com/. Our transition music for this episode is “Places Unseen” also by Lee; licensed under Creative Commons (CC BY-NC 3.0).

Logo Artwork by Antonella Espinoza. Find her at @ellaspin on Twitter!