Operational Alexandria Digital Library
  Operational ADL
  Cataloging Tools      

Cataloging tools help you create textual and geospatial item-level metadata about library objects.

ADL Cataloging Tools

The ADL Cataloging tools consist of the Text Cataloger tool and the Geospatial Data tool. The Text Cataloger provides an input form that makes it easy to create textual and geospatial item-level metadata about library objects. The Geospatial Data tool generates the geospatial coordinates of a geographic area, which you specify by drawing a bounding box on a map.

The Text Cataloger tool is connected to a MySQL database. The Geospatial Data tool is connected to a Postgres database. The collection of library objects are hosted on a server. The following example workflow shows how these tools can be used.

Example Workflow

This example workflow describes steps a professor would follow to scan slides, create item-level metadata, and input geospatial coordinates suitable for ingesting the collection into ADL.

  1. Create the archival tiff image by scanning the slide.

    The tiff image is large (10.5 mb in this case) but is a lossless format.
  2. Create jpeg versions of the tiff image.

    You need to create full, thumb and browse jpeg images. The full jpeg version is smaller than the tiff (248 kb in this case), and is suitable to use on web pages or in PowerPoint presentations. The thumb is 128 pixels and the browse is 512 pixels.
  3. Annotate the image by creating an SVG layer (optional). This requires Adobe's SVG viewer.

    You can create the SVG layer using Adobe Illustrator 10.0. The annotation layer is stored in a separate svg file.
  4. Upload the images to the server.
  5. Input initial metadata into the Text Cataloger tool.
  6. Input the geospatial coordinates of the image into the database using the Geospatial Data tool.

    The Text Cataloger tool has a button to launch the Geospatial Data tool but you must be in edit mode.
Questions? Contact Catherine Masi, IT Coordinator, Alexandria Digital Library, Map and Imagery Lab, Davidson Library, UCSB
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