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Reading Between the Lines: A Bibliometric Approach to ILL Data at the Goddard Space Flight Center

This presentation explores a bibliometric approach to interlibrary loan (ILL) data at the Goddard Space Flight Center, highlighting traditional metrics, tools used for data cleaning, and the benefits of presenting ILL data in an engaging way.

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Reading Between the Lines: A Bibliometric Approach to ILL Data at the Goddard Space Flight Center

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  1. Reading Between the Lines: A Bibliometric Approach to ILL Data at the Goddard Space Flight Center Brynne Norton brynne.s.norton@nasa.gov Information Services Team Lead NASA Goddard Space Flight Center Cadence Group

  2. Goddard’s Profile • 10,000 employees on center, only a portion do research • Renovated in March 2016 leading to a great increase in traffic • Collection is weighted towards eResources • Full time Interlibrary Loan Coordinator who also works the Information Desk

  3. Traditional Metrics Fill Rate

  4. Traditional Metrics Turnaround Time

  5. Traditional metrics Most Requested Journals

  6. Sample Ill data 2015 and 2016

  7. Tools Sublime Text Editor

  8. Dirty data

  9. Cleaning in sublime Removed all blank lines Removed duplicates Removed all punctuation, including: question marks, commas, colons, parentheses, etc. Went from 574 to 502 lines/records

  10. Title Title Title Title Title Title Title TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” OR TI=“Title” Regular expression Goal

  11. Capture the Line followed by a carriage return (.*)\n any character, repeatable Writing the Regular Expression This becomes Capture Group 1 Replace with TI="\1"OR Represents the Capture Group 1 New text added

  12. Final search string

  13. Advanced search • v

  14. Some false hits

  15. Register for an Endnote account • Save your search • Export the full records • Total records, down from 502 turned out to be 310 • What does your Web of Science Subscription cover? Save your search

  16. Minimum of 3 keyword occurrences colored by year

  17. Open refine Combine author keywords and keywords plus

  18. Every Keyword

  19. 3 keywords colored by cluster

  20. Zooming in on a section

  21. 3 keywords colored by year

  22. 5 keywords colored by year

  23. Text mining title and abstract with 5 occurrences

  24. Text mining density view

  25. Trial and error in the process • False hits in data • Your data is only as good as your subscription (in my case to Web of Science) • Reminder: This is only one metric Some things to look out for

  26. Presenting ILL Data in a new engaging way • Using flexible tools to manipulate data for a variety of uses • Drawing new conclusions beyond spreadsheets • A way to look at your data topically, moving beyond traditional metrics and engaging new stakeholders • Visually appealing Benefits

  27. Questions? Brynne Norton brynne.s.norton@nasa.gov Information Services Team Lead NASA Goddard Space Flight Center Cadence Group

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