Transforming Data Discovery Through Behavior Modeling and Recommendation - Google Analytics Trace Data

Summary:  View help for Summary This dataset contains trace data describing user interactions with the Inter-university Consortium for Political and Social Research website (ICPSR). We gathered site usage data from Google Analytics. We focused our analysis on user sessions, which are groups of interactions with resources (e.g., website pages) and events initiated by users. ICPSR tracks a subset of user interactions (i.e., other than page views) through event triggers. We analyzed sequences of interactions with resources, including the ICPSR data catalog, variable index, data citations collected in the ICPSR Bibliography of Data-related Literature, and topical information about project archives. As part of our analysis, we calculated the total number of unique sessions and page views in the study period. Data in our study period fell between September 1, 2012, and 2016. ICPSR's website was updated and relaunched in September 2012 with new search functionality, including a Social Science Variables Database (SSVD) tool. ICPSR then reorganized its website and changed its analytics collection procedures in 2016, marking this as the cutoff date for our analysis. Data are relevant for two reasons. First, updates to the ICPSR website during the study period focused only on front-end design rather than the website's search functionality. Second, the core features of the website over the period we examined (e.g., faceted and variable search, standardized metadata, the use of controlled vocabularies, and restricted data applications) are shared with other major data archives, making it likely that the trends in user behavior we report are generalizable.

Funding Sources:  View help for Funding Sources National Science Foundation. Directorate for Social, Behavioral and Economic Sciences (2121789)

Subject Terms:  View help for Subject Terms information retrival; data archiving; search; web analytics

Time Period(s):  View help for Time Period(s) 9/1/2012 – 9/1/2016

Data Type(s):  View help for Data Type(s) aggregate data; event/transaction data; observational data; other; text

Collection Notes:  View help for Collection Notes See Lafia, Million, and Hemphill (2023) for additional data collection and analysis information.