Frictionless Data for Agricultural Research: Glossary

Frictionless can be used to create well described datasets that can be more easily re-used by other researchers.

Metadata is used to describe a dataset.

Frictionless uses a simple JSON syntax for providing structured metadata.

Frictionless Datasets are described by metadata using a standard schema.

Providing good metadata to describe a dataset makes it easier for other researchers to understand and re-use the data.

The FAIR data principles are a set of guidelines for creating findable, accessible, interoperable and re-useable datasets.

Using Frictionless Data can help you create datasets that meet many of the FAIR Data Principles.

The Frictionless Table Schema allows us to describe metadata for a table using JSON.

The Frictionless python module describe function is used to import a file as a table and infer information about it.

Using the Frictionless python module we can edit the Table Schema’s Field Descriptors.

Frictionless allows you to define table fields as primary keys and foreign keys and create relationships between them

First key point. Brief Answer to questions. (FIXME)

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