For the complete documentation index, see llms.txt. This page is also available as Markdown.

Exports

Datasets provide a persistent, version-controlled store of data and their metadata. Datasets can be queried and analyzed within workflows, and in most cases it will make sense to first perform initial analyses on Redivis before downloading data, particularly for larger datasets.

However, in certain situations, you may want to download some or all of the dataset contents or metadata for future reference and analysis on external systems.

Download metadata

Top-level metadata can be downloaded by selecting the Download metadata link in the dataset overview. Metadata can be downloaded in the DataCite, Schema.org, and Redivis API schema specifications.

Download citations

From the dataset overview, select Bibliography to view a full bibliography of your dataset and its data sources. You can copy or download this citation information in APA, CFF, or BibTeX formats.

Download and export data

Any table within a dataset can be downloaded or exported to a supported environment or read into another environment through the Redivis API, pursuant to any export restrictions applied by the dataset's administrators.

Extract content via the API

The Redivis API, Python, and R wrappers provide numerous methods for interfacing with a workflow and its contents, and in many cases, will be the most flexible mechanism to extract workflow metadata and data from external systems.

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