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Analysis of URL References in ETDs: A Case Study at the University of North Texas

Analysis of URL References in ETDs: A Case Study at the University of North Texas. Outline. Background ETD at UNT Curating cited URLs URL references, linking patterns, Methods URL Extraction & Indexing Findings Summary. Background: ETD at UNT. UNT & ETD.

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Analysis of URL References in ETDs: A Case Study at the University of North Texas

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  1. Analysis of URL References in ETDs: A Case Study at the University of North Texas

  2. Outline Background • ETD at UNT Curating cited URLs • URL references, linking patterns, Methods • URL Extraction & Indexing Findings Summary

  3. Background: ETD at UNT

  4. UNT & ETD • The University of North Texas (UNT) began accepting theses and dissertations in electronic format in 1999. • UNT is one of the early adopters of what was to become the ETD movement in higher education • One of the first three American universities to require ETDs for graduation.

  5. UNT & ETD • The UNT Libraries play an active role in facilitating access to UNT’s ETDs • Digital Projects Unit took on a stewardship role • Develop appropriate Metadata • Integrate Value added services into the ETDs • Multiple formats (PDF, JPG, ) • Integrate Related contents (Datasets, videos, audios e.g. recitals) • Started retrospective conversion projects: • Digital retro-conversion (in-house project) for pre-1999 theses and dissertations previously available only in paper or microform.

  6. Visits from 200+ Countries: http://digital.library.unt.edu/explore/collections/UNTETD/browse/

  7. Curating Cited URLs

  8. Why Case Study • The UNT Libraries carried out this research to better understand what effect this shift to the Web had on the use of Web resources as the research focus, or primary citation target of theses and dissertations. • In order to answer this question, the authors analyzed the scope of referencing Web resources, how it differs between academic degree levels, and how it has changed over the past twelve years at UNT.

  9. UNT ETDs breakdown of several ranges of URLs per document

  10. UNT ETDs breakdown of URLs per document • The average number of URLs per document in the overall UNT ETD dataset is 8.03 with a standard deviation of 21.6. • These numbers represent documents which contained from 0 to 809 URLs each. • Removing the documents that did not contain URLs and re-computing the average changed it to 12.83 URLs per document with a standard deviation of 26.19.

  11. Top-Level Domain Reference

  12. Ten Most Referenced Second Level Sub-Domain

  13. No. of ETDs with URLs by domain names

  14. Longitudinal Data For ETDs with URLs

  15. Summary 62% of the publications analyzed in this work included URLs. • Doctoral level publications at 68.2% • Master’s level at 55.8% The percentage of ETDs that include URLs consistently increased • From 23% in 1999 to almost 80% in 2012

  16. Summary … Across the years, there were more doctoral dissertations than masters’ theses with URLs referenced. The.govdomain is the fourth most referenced top-level domain, however, it accounts for nearly half of the top ten most referenced domains • A further investigation at the domain or subdomain level could reveal additional patterns that may show more content based information about the URL references.

  17. Looking Ahead

  18. Future Works The URLs referenced in a large corpus of ETDs may be present interesting insight into the subjects, disciplines and patterns in these documents which warrants further investigation. This research provides a preliminary framework for technical methods appropriate for approaching future analysis of the data. A deeper investigation into the scope of the target URLs across an entire ETD corpus could provide a better understanding of the content-based URL linking patterns Additionally an investigation into how specific disciplines or subject areas are referencing URLs in their ETDs would be helpful in identifying particularly high areas of URL linking versus lower levels. An analysis of URL inclusion in ETDs across institutions and even nations would make a logical follow-on investigation that would show if higher level trends exist in ETDs.

  19. Future Works… Finally a further investigation into URL extraction from text would be beneficial to the ETD community in several ways: • It would allow libraries to extract URLs not only from born digital ETDs but also from theses and dissertations that are being retrospectively digitized in institutions that have not had longstanding ETD policies. • It would allow for investigation into ways of normalizing or completing malformed URLs that may provide for better analysis of content referenced and its availability in Web archives.

  20. Thank You!Ameseginalehu! Gracias!

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