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Created page with "Myths around FAIR data # FAIR data is when humans can find, access, and reuse data # FAIR data equals open data # FAIR is just a label" |
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Myths around FAIR data | Myths around FAIR data | ||
# FAIR data is when humans can find, access, and reuse data | # '''FAIR data is when humans can find, access, and reuse data.''' Wrong, because FAIR data is about machine-actionability (at the service for humans). | ||
# FAIR data equals open data | # '''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 | # '''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. | ||
Revision as of 10:43, 16 March 2022
Myths around FAIR data
- FAIR data is when humans can find, access, and reuse data. Wrong, because FAIR data is about machine-actionability (at the service for humans).
- 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 continously.