Love Your Data – Day 3: Good Data Examples

Content is adapted from the Love Your Data Website.
Good data are FAIR – Findable, Accessible, Interoperable, Re-usable
What makes data good?
  1. It has to be readable and well enough documented for others (and a future you) to understand.
  2. Data has to be findable to keep it from being lost. Information scientists have started to call such data FAIR — Findable, Accessible, Interoperable, Re-usable. One of the most important things you can do to keep your data FAIR is to deposit it in a trusted digital repository. Do not use your personal website as your data archive.
  3. Tidy data are good data. Messy data are hard to work with.
  4. Data quality is a process, starting with planning through to curation of the data for deposit.
Remember! “Documentation is a love letter to your data”
Read more about documenting your data or join the conversation on twitter and facebook using #LYD17 or #loveyourdata
Have questions? Contact Jill Krefft, Institutional Repository Coordinator at


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