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This poster describes a project to automate portions of JMU Libraries' workflow for distributing Special Collections finding aids to various discovery platforms. Through the development of a custom Python app called Spaceport, we were able to greatly improve the efficiency and sustainability of this process while also providing a more consistent discovery experience for our patrons. The project also had broad impacts in other areas. Our incremental and collaborative approach provided space for professional development related to the project, supported evolving project goals and the process of adapting to the new workflow, and strengthened relationships between departments. In addition to describing these and other benefits, this poster includes an overview of the Spaceport app's functionality along with recommended learning resources for technologies used in the project, including XSLTs, Python scripting, and APIs.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


Poster presented at "The Exchange: An ALCTS/LITA/LLAMA Collaboration" virtual conference.



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