Myths

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Myths around FAIR data

  1. FAIR data is when humans can find, access, and reuse data. Wrong, because FAIR data is about machine-actionability (at the service for humans).
  2. FAIR data equals open data. Both concepts are different. FAIR data can be offered as a paid service. However, metadata has to be open. Consequently, as long as ISOs are not availably open and for free, data cannot be FAIR.
  3. FAIR is just a label. No, substantial effort is needed to make data FAIR. Data governance requires highly skilled resources - not on a project base but continously.