1. Bibliographic Information Visualization and Analysis Chitra Madhwacharyula Colleen Whitney Lulu Guo

2. Background California Digital Library serves the entire UC system: more than 35 million bibliographic records in the combined catalog Need to be able to find patterns in this data in order to develop better services and tools

3. Project Goal Facilitate exploration of items in bibliographic collections using brushing and linking techniques Key concepts of interest  Circulation patterns by general subject area  Circulation patterns by time  The relationship of circulation to holdings

4. Targeted Audience California Digital Library Staff Characteristics  Develop tools and programs to serve all UC campuses  Not involved with day-to day workings of the libraries, but many are ex-librarians  One related project: improving the quality of information retrieval

5. Related Work PaperLens  Overview of collection along defined axes  Ability to zoom in and see patterns within a subset  Ability to highlight an item and see details, additional patterns within the collection

6. Related Work

7. Dataset Sample data (from UCLA)  320 randomly selected items  Related circulation data  Mid-1999 - mid-2005  All these items circulate (which is only true for about 25% of the entire collection)  This small set is being used to test the general visualization approach; we will be working with a much larger set eventually

8. Our Prototype

9. Visual Components Bar Graphs  Small multiples segment data by subject  Bars indicate number of circulation transactions, by time Scatter plots  More detail, new dimension within subject/time Item Detail  Temporal pattern at item level

10. The Software Debate Tableau  Small multiples but no brushing and linking Spotfire  Brushing and linking, but no small multiples Our Choice  JpGraph: PHP graphics package backed by a MySQL database

11. Demo

12. Issues Size of dataset Complexity of metadata Data transformations What sampling technique to use ? Limitations of JpGraph

13. Future Work Expand the dataset Make interface more intuitive  Support filtering by subject and time at the outset  Make timeline presentation of item-level circulation pattern Solicit and incorporate feedback from target audience

14. Questions ?