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@@ -5,8 +5,9 @@ What is this?
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This is an open online book containing short scholarly API code examples (i.e., "recipes")
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that demonstrate how to work with various scholarly web service APIs. It is part of the University of
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Alabama Libraries efforts to support `Research Data Services`_.
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that demonstrate how to work with various scholarly web service APIs. It is part of the
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University of Alabama Libraries `Research Data Services`_ efforts to support data-intensive
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academic research and teaching.
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.. _Research Data Services: https://guides.lib.ua.edu/ResearchDataServices
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In general, scholarly APIs are designed for the collection of small to medium
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sized datasets; that is, in the range of 100s or maybe a few thousand queries at most
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(various with API). If you need large bulk datasets, an API is likely not the method to use, and
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there may be bulk data downloads available from the database instead.
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(various with API). If you need large bulk datasets, an API is likely not the method to use,
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and there may be bulk data downloads available from the database instead.
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If you decide that your use-case is appropriate for a scholarly API (or similar web service), here are a few good general practices
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to follow when working with any web API:
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.. rubric:: References
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.. [#ua_work] `<https://github.com/UA-Libraries-Research-Data-Services/UALIB_Workshops>`_
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