Texas Digital Newspaper Program Data - PowerPoint PPT Presentation

homer
texas digital newspaper program data n.
Skip this Video
Loading SlideShow in 5 Seconds..
Texas Digital Newspaper Program Data PowerPoint Presentation
Download Presentation
Texas Digital Newspaper Program Data

play fullscreen
1 / 29
Download Presentation
Texas Digital Newspaper Program Data
91 Views
Download Presentation

Texas Digital Newspaper Program Data

- - - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript

  1. Texas Digital Newspaper Program Data What we gather, and how we use it. By Ana Krahmer & Mark Phillips University of North Texas Libraries 4 February 2014 Start Spreading the News!

  2. Overview • Target Audiences • Data Collection • Data Use • Questions

  3. Target Audiences Of the Texas Digital Newspaper Program

  4. Target Audiences • K-12 Students & Educators • Higher Education Researchers, including undergraduate, graduate, and faculty researchers • Librarians • Genealogists • Lay-Historians • Lifelong-Learners

  5. Current Classroom Use • Teaching with Primary Sources: National History Day; Texas Junior Historians; Texas History, grades 4 & 7. • Texas Tech University, Dr. Ann Hawkins’ Texas Manuscript Cultures Online, undergraduate and graduate Book History and Research Methods courses. • University of North Texas, Dr. Andrew Torget’s courses, History of Texas and American History courses. • Austin College, Dr. Light Cummins’ Research Methods.

  6. Library Use • Texas Digital Newspaper Program Feedback utility • Partner institution pages • Newspaper Program Traveling Banner • Links to share on social networking feeds

  7. Genealogists • Full-text searchability • Search content highlighting • Full metadata records • Faceted links

  8. Lay-Historians • Annual Digital Frontiers Conference • Free and open access to newspaper content • Zoomable views • Permissions to use in research, with citations

  9. Lifelong-Learners • Emeritus College students • Partner public library patrons • Local civic interest groups

  10. Data Collection Where did it all come from?

  11. Data Collection • Qualitative: Surveys, Feedback responses, grant report comments, partner communications • Quantitative: Analysis of collection usage, geographic origin, contributing partners, annual additions to collection

  12. Data Collection (Qualitative) • Grant-funded projects require final reports from TDNP partner institutions. • In 2012, Kathleen Murray and Dreanna Belden launched an impact survey for Portal to Texas History users. • The Portal feedback database offers years of user questions.

  13. Data Collection (Qualitative) “The newspaper digitization project places our library in position to reach out toward the future. By taking a piece of the past and bringing it with us, we are sure to grow and learn, appreciate and respect what was, what is and what will be.” -Whitaker, L. (2013). Richard S. & Leah Morris Memorial Library Final Grant Project Report to the Tocker Foundation.

  14. Data Collection (Qualitative) • The Portal to Texas History Impact Survey was launched in 2012 by Murray and Belden. • Of 573 respondents, 36% self-identified as genealogists, 19% as lifelong-learners, 19% as historians, 6% as  librarians,  5% as students, and 15%as “other.” • 93 individual comments within this survey cited the newspapers as being of especial value.

  15. Data Collection (Quantitative) • Descriptive metadata for the Texas Digital Newspaper Program collection is available via OAI-PMH in multiple formats. • Utilized a Python-based harvester, pyoaiharvester, to collect metadata from the TDNP OAI Repository endpoint. • All years combined total 165,298 metadata records. • Phillips then prepared a Python script to parse records and extract relevant information. • This script uses the output of the pyoaiharvester tool as input, to return a tab-delimited file displaying one newspaper issue per row.  

  16. The fields* in the tab-delimited file are: *All values in the Partner field can be resolved from the controlled vocabulary: http://digital2.library.unt.edu/vocabularies/institutions/

  17. Number of issues added per year (n=165,149)

  18. Number of counties added per year (n=109)

  19. Number of communities added per year (n=142)

  20. Number of partners added per year (n=48)

  21. TDNP Partner Institutions * “UNT Archives” and “UNT Libraries” are two partner institutions, thus actually totaling to 48 partners. This table indicates content whose digitization was funded by external partners. Content funded internally by UNT totals to 49,805 and has been removed from this table.  

  22. Google Fusion Tables map, derived from TDNP Newspaper Locations: https://www.google.com/fusiontables/embedviz?q=select+col1+from+17utAXOiLgXhaEXlHgsIfE2DJ_2OlQyD-XIR-LZU&viz=MAP&h=false&lat=28.271046172964198&lng=-103.64894140625&t=1&z=6&l=col1&y=2&tmplt=2&hml=GEOCODABLE

  23. External References • Python Metadata Extraction Script: https://github.com/vphill/untl_metadata_extraction/blob/master/tdnp_dataset.py • Texas Digital Newspaper Program OAI API: http://texashistory.unt.edu/explore/collections/TDNP/oai/ • PYOAIHarvester Script: https://github.com/vphill/pyoaiharvester • Belden, Dreanna & Murray, Kathleen R. Where do users find value?. UNT Digital Library. http://digital.library.unt.edu/ark:/67531/metadc185793/. Accessed January 27, 2014.

  24. Questions? Ana Krahmer Ana.Krahmer@unt.edu Mark Phillips Mark.Phillips@unt.edu