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/