uOttawa LibGuides Traffic and Referral Data from 2015 to 2025

uOttawa LibGuides traffic data from 2015 to 2025, downloaded from the LibGuides platform and Google Analytics. The dataset includes anonymized guide traffic and raw referral source data from 2023 to 2025, collected to examine patterns since the introduction of ChatGPT. Author Yoo Young Lee published the data via Borealis Harvested Dataverse in July 2026, and two R scripts are included for analysis.

Use Cases

• Analyzing long-term traffic trends for academic library guides based on data from 2015 to 2025.
• Investigating changes in referral traffic sources following the introduction of ChatGPT, based on Google Analytics data from 2023 to 2025.
• Conducting anonymized usage analysis of published LibGuides, as guide names have been removed.
• Reproducing traffic trend studies using the included R scripts.

Strengths

• Traffic data spans a 10-year period from 2015 to 2025.
• Includes raw Google Analytics referral data for the period 2023 to 2025.
• Provides two R scripts to support the replication of analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• LibGuide names have been anonymized, limiting context for specific guide analysis.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Downloaded from the LibGuides platform and Google Analytics.

Time Range

2015 to 2025 for LibGuides traffic; 2023 to 2025 for Google Analytics referral data.

Freshness

Last updated 2026-07-18 04:10:13; freshness should be verified.