Myths

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 continuously.
4. To make data FAIR is of the interest of a researcher. No, it is beyond the capability of a researcher.
5. Markets for FAIR and open data exist. No, if then only in the form of niche markets if at all. (See how long it takes to enter mainstream markets).