Published May 22, 2019 | Version v3

Supporting dataset for : Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)

Authors/Creators

  • 1. University of Strathclyde

Description

This dataset supports the conference paper, 'Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)', deposited and available in Strathprints and presented at the 14th International Conference Open Repositories (OR2019). It also supports the journal article, 'Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations', published in Publications. Full details of these publications are as follows: 

  • Macgregor, G. (2019). Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019) . (pp. 1-11). Glasgow: University of Strathclyde [Strathprints repository]. Available: https://doi.org/10.17868/67963 
  • Macgregor, G. (2020). Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations. Publications, 8(1), [8]. https://doi.org/10.3390/publications8010008

The dataset comprises a series of comma-separated values plain text documents (.csv). The .csv files contain data pertaining to COUNTER compliant usage statistics, search query traffic from Google Search Console, web traffic data from Google Analytics and figures on annual full-text repository deposits made to the Strathprints repository. A README.txt is included, describing in more detail the nature and the structure of the data.

All data relate to the EPrints repository, Strathprints, based at the University of Strathclyde.

Files

README.txt

Files (1.0 MB)

Name Size Download all
md5:89a73ceb2c4555818cdb9de52b7c965f
5.2 kB Preview Download
md5:709447e887288368f98dd02759d8ca75
169.4 kB Preview Download
md5:8ba078c2724da5072d665ffdb6d75a75
2.3 kB Preview Download
md5:6791b0b5b8027328532ce47a2d60c0df
1.3 kB Preview Download
md5:d87fa072b8a94d4801773b1876dcd565
229.1 kB Preview Download
md5:ea0f3a0c0a47d481a7cfa1455ee6b501
289.9 kB Preview Download
md5:585f3b72e61806ab3aa2a5d6d81bff0b
314.2 kB Preview Download

Additional details

Related works

Is supplement to
10.17868/67963 (DOI)