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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 its metadata, for future reference and analysis on external systems.
Top-level metadata about the dataset can be downloaded by clicking on the Download metadata link in the dataset overview. Metadata can be downloaded in the DataCite, Schema.org, and Redivis API schema specifications.
From the dataset overview, click on the Bibliography button 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.
Any table within a dataset can be download 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.
The Redivis API (and 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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