Data Atlas

The aim of the data atlas is to gather relevant information about catalogues and datasets for charting the resources that potentially can be integrated into the Sloane Lab knowledge base. The benefit for creating the atlas is bifold; a) help to realise the breadth and availability of resources and b) help to identify their current state and format so to design appropriate data mapping and ingestion approaches. We have devised a template for data collection that is used as the assessment tool to enable consistent review and recording of characteristics and attributes of datasets and catalogues.

The latest version of the Data Atlas can also be seen and downloaded in high-resolution (vector format) as PDF below:

The Sloane Lab Data Atlas can also be found on GitHub.

If you have any questions or feedback, please contact us! We look forward to hearing from you.

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