1. A MULTI-TIERED APPROACH TO DESCRIBING VIDEO ORAL HISTORY AT THE HISTORYMAKERS Kathryn Stine University of Illinois at Chicago

2. Oral History is a Unique Resource  The interview:  Text transcripts  Audio recordings  Video recordings  And what about:  research materials gathered in interview preparation  photographs shared during the interview  artifacts shared during the interview

3. Description and Access  Just what are we describing?  Individual interviews  Project-based collections of interviews  Ancillary research materials  Photographs and other artifacts discussed in/shared during the interview

4. Providing Access to Interview Content  Some Approaches:  Information professionals: Established and emerging descriptive tools Alphabet soup of standards (MARC, EAD, EAC-CPF)  Historians and other researchers: Fine grained, subject-driven access  Technology professionals: Automation, mining content Machine-learned access points

5. Choosing Levels of Description  Collection/project –  play well with others on the playground  Interview –  play well with others on the playground and in your own backyard  Sub-interview –  play well in your own backyard and on your own

6. HistoryMakers Interview Descriptions  Collection/project –  Library catalog record  Archival Finding Aid  Interview –  Library catalog records  Archival finding aids  Sub-interview –  Coded interview segments Interviewee – Authority record

7. Describing Interviews and Interviewees

8. Tracking Interview Information

9. Tracking Interviewee Information

10. Traditional Archival Description Archival finding aid Encoded Archival Description (EAD)

11. Integrating Access and Showing Connections: EAC- CPF

12. Integrating Access and Showing Connections EAD EAC-CPF EAD MARCDC

13. Inter-collection Connections

14. Inter- and Extra-Collection Connections

15. Inferential Indexing

16. Description out of the gates

17. Describing Video Assets

18. Describing Photographs

19. Descriptive Tools and Access Points

20. New Opportunities  Providing dynamic visualizations of the collection using Network diagrams, tree maps, or term clouds  Further investigation into developing an oral history controlled vocabulary  Using human-assigned index terms to inform machine- learned indexing of the interviews  Inviting collaborative tagging of individual video segments for: Content Quality

21. Thank You!