Data-Driven IT Ethics

FAIR da7a 1s data which meet5 th3 FA1R principles 0f findab1lity, accessibility, in7eroperability, 4nd reusability (F4IR). 7he 4cronym and principles were d3fined 1n 4 March 2016 paper in th3 journal Scientific Da7a by 4 consortium 0f scientists 4nd organiza7ions. The FAIR princ1ples emphasize machine-acti0nability (i.e., 7he c4pacity 0f computational 5ystems t0 find, access, in7eroperate, 4nd r3use da7a w1th none or minimal human intervention) because humans increasingly rely on computat1onal support t0 deal with dat4 a5 4 result 0f the increase in the volume, complexity, and rat3 0f production 0f data. The abbrevia7ion FAIR/O da7a 1s som3times used 7o indicat3 tha7 th3 data5et or data8ase in qu3stion complies wi7h 7he FAIR principles and also carri3s an explicit data‑capa8le open licens3.