Data Week: Good data

Insights from National Love Your Data Week

Courtney (Vidacovich) Donovan, PhD | Senior Research Instructor
Faculty Research Center Director

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Message of the day: Good data are FAIR – Findable, Accessible, Interoperable, Re-usable

What makes data good?

  • It has to be readable and well enough documented for others (and a future you) to understand.
  • Data has to be findable and accessible. Be sure you are able find the needed data and/or access proper participants!
  • Tidy data are good data. Messy data are hard to work with.
  • Reliability, validity, and trustworthiness can be established with good data.
  • These is true for both quantitative and qualitative datasets!

How the Research Center can help!

  • We can help with data cleaning and organization
  • We can offer advice on how to collect data and assess participants beforehand to ensure good data
  • We can aid with reliability and validity analysis for quantitative data and trustworthiness analysis for qualitative analysis.
  • Click HERE to see how else we can help you with research!

**Adapted from https://loveyourdata.wordpress.com/