Longitudinal navigation log data on the Radboud University web domain

We have collected the access logs for our university's web domain over a time span of 4.5 years. We now release the pre-processed web server log of a 3-month period for research into user navigation behavior. We preprocessed the data so that only successful GET requests of web pages by non-bot users are kept. The information that is included per entry is: unique user id, timestamp, GET request (URL), status code, the size of the object returned to the client, and the referrer URL. The resulting size of the 3-month collection is 9.6M page visits (190K unique URLs) by 744K unique visitors. The data collection allows for research on, among other things, user navigation, browsing and stopping behavior and web user clustering.

Identifier
DOI https://doi.org/10.17026/dans-28m-mwht
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-lzx5-80
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:64567
Provenance
Creator Verberne, S.; Vries, A.P. de; Kraaij, W.
Publisher Data Archiving and Networked Services (DANS)
Contributor Radboud University
Publication Year 2016
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format TXT; PDF/A
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences