Love Your Data Week Feb 13th – 17th 2017

February 15th: Good Data Examples

Post authored by Lora Leligdon

lyd_wednesday

Day three of Love Your Data week brings us to some examples of good data! What are good data?

Good data are FAIR – Findable, Accessible, Interoperable, Re-usable

Things to consider:

What makes data good?

  • Data has to be readable and well-documented enough for others (and a future you) to understand.
  • 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.
  • Tidy data are good data. Messy data are hard to work with.
  • Data quality is a process, starting with planning through to curation of the data for deposit.

Stories

Example: This dataset is still around and usable more than 50 years after the data were collected and more than 40 years after it was last used in a publication.

Counterexample: This article: http://www.sciencedirect.com/science/article/pii/S1751157709000881 promises:

“Statistical scripts and the raw dataset are included as supplemental data and are also available at http://www.researchremix.org.”

Alas:

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(Used by recommendation of the author who has long since become enlightened. The data have made it into a trusted repository too.)

Hadley Wickham tells you how to tidy your data: http://vita.had.co.nz/papers/tidy-data.pdf

Resources

Example: Data can take many forms. This compilation of “Morale and Intelligence Reports” collected by the UK Government during and after the war is a great example of qualitative historical data: https://discover.ukdataservice.ac.uk/catalogue/?sn=7465

Activities

  • Want to learn more? Register and attend a Dartmouth research data management workshop to learn more about planning, cleaning, visualizing, storing, sharing, and preserving your data at Dartmouth.
  • What is your favorite data set? How/why is it good for your project? Try out the FAIR Principles to describe and share examples of good data for your discipline. Tell us on Twitter or Facebook (#LYD 2017 #loveyourdata)

Our daily blog posts are courtesy of the 2017 LYD Week Planning Committee. Learn more at https://loveyourdata.wordpress.com/lydw-2017/!

We’re getting close to the end of our quality data posts! But stay tuned – tomorrow we will be discussing how to find the right data for your project.

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