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# '''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.
# '''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.
# '''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.
# '''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.
# '''To make data FAIR is of the interest of a researcher.''' No, it is beyond the capability of a researcher.
# '''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).
# '''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).

Latest revision as of 10:52, 16 March 2022

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).