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So What If Something Doesn't Scale

5 years ago • updated 5 years ago • 2

Scability is not necessarily the answer for showing impact. The larger the data, the harder it is to make sense of the data deluge.The decision to not scale is relevant to all types of library work. We value relationships with our collaborators and will not sacrifice our relationships. In this presentation we will make a case for intentional use of small, curated data. Come learn with two librarians who are bold in their beliefs and fight for the value of efforts that are not intended to scale. You will leave the session empowered with strategies for justifying your efforts.

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5 years ago

Interactive Takeaways:

We will make the case that statistically-driven assessment is not always the best way to analyze responses and the larger a data set is the harder it can be to meaningfully analyze. We will make a case for building meaningful partnerships which account for library users' needs and contain measurable outcomes for benchmarking through a discussion of what is lost when you insist on scale for scale's sake.
Participants gain a toolkit to takeaway that provides justifiable and legitimate reasons for why scaling efforts are not always necessary. It will leave you refreshed (REFRESHED! love this) and prepared to justify your efforts even when they do not scale.
Participants will see examples of successful projects that did not need to scale and understood how to describe these successes.

5 years ago

Sorry - first time submitting a proposal here...I thought the first box was only for the session description!

Short Session Description. See above!
Session Format & Style. This will have a workshop style feel with interactive small group discussion and digest.
Takeaways. See above!
Organization. Two librarians from Penn State University with pretty cool titles will be presenting this information!! An online learning librarian and a literary informatics librarian.
Contact Information. Victoria Raish - victoria@psu.edu.

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