Duke University Libraries: Web Analytics Pilot
| dc.contributor.author | Conway, Patrick | |
| dc.contributor.author | Dalsheimer, Sam | |
| dc.contributor.author | Foley, Chance | |
| dc.contributor.author | Leonhardt, Wesley | |
| dc.contributor.author | Wegner, Delia | |
| dc.date.accessioned | 2023-05-09T19:32:42Z | |
| dc.date.available | 2023-05-09T19:32:42Z | |
| dc.date.issued | 2023-04-21 | |
| dc.description.abstract | Our team worked with the Assessment and User Experience Strategy (AUXS) team of Duke University Libraries (DUL) to run a pilot test of Matomo, an open-source alternative to Google Analytics. The purpose was to evaluate the feasibility of decoupling from the Google ecosystem to better meet their commitments to user privacy. Through a collaborative and agile process, we implemented Matomo on DUL servers, tested technical processes on high- and low-traffic sites, engaged stakeholders, and provided a series of recommendations on how to best transition all 110 DUL websites to Matomo. This work was completed for a UNC-Chapel Hill School of Information and Library Science Master's Practicum Project, 2023. Site sponsor: Sean Aery (Duke University Libraries). The poster was presented at the 2023 UNC SILS Scholar Showcase (April 21, 2023, Carolina Union) and at the DUL First Wednesday Presentation Series (May 3, 2023, virtual). | |
| dc.description.sponsorship | Project sponsor: Sean Aery | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.title | Duke University Libraries: Web Analytics Pilot | |
| dc.type | Other |
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- WebAnalyticsAtDuke_Poster.pdf
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