ISPA Account

FAIR Quality Information Guidelines

This “FAIR Quality Information guidelines” reviews FAIR principles from a “quality” perspective and summarizes this into guidelines for data producers, users, custodians and stewards. The guidelines are aimed at Earth Science datasets with these composing most of the examples. However, the advice is quite general, applicable to agricultural datasets.