I've heard the term "FAIR data" used before. The term was coined by a consortium in 2016, published in "*Scientific Data*". The majority of the criteria that must be met for data to be "FAIR data" is to do with the associated *metadata*. The [[Data Package (standard)]] is a broad standard aimed at increasing the FAIRness of packages of data. It is short for data that is: ## Findable 1. Metadata are assigned a globally unique & persistent identifier (i.e. a [[UUID]] or equivalent) 2. Data are described with rich metadata (per Resuable->1 below) 3. Metadata clearly and explicitly include the identifier of the data they describe 4. Metadata are registered or indexed in a searchable resource ## Accessible 1. Metadata are retrievable by their identifier using a standardized communications protocol 2. The protocol is open, free, and universally implementable 3. The protocol allows for an authentication and authorization procedure, where necessary 4. Metadata are accessible, even when the data are no longer available ## Interoperable 1. Metadata use formal, accessible, shared, and broadly applicable language for knowledge representation ([[Ontology Language]]) 2. Metadata use vocabularies that follow FAIR principles 3. Metadata include qualified references to other metadata ## Reusable 1. Metadata are richly described with a plurality of accurate and relevant attributes 2. Metadata are release for a clear and accessible data usage license 3. Metadata meet domain-relevant community standards **** # More ## Source - self - https://en.wikipedia.org/wiki/FAIR_data - gofair.foundation - https://datapackage.org/