1. Tim Thompson & Matt Carruthers
University of Miami Libraries

2. » Focused on the collections
themselves

3. » Problem: How do we capture context?
˃Creator descriptions and context are essential

4. » Solution: Encoded Archival Context –
Corporate Bodies, Persons, and Families

5. » <control>
» <cpfDescription>
˃<identity>
˃<description>
˃<relations>
(Tag Library:
http://www3.iath.virginia.edu/eac/cpf/tagLibrary/cpfTagLibrary.html)

6. » <relations>
EAC-CPF
(Person)
Archival
Collection
Colleague
Employer

8. »Why experiment?

9. » Discover buried or implicit relationships
» Allows for much more granular
description
» Aggregates all relevant information about
an entity in one record

10. » “Connecting the Dots: Using EAC-CPF to
Reunite Samuel Johnson and His Circle” –
Harvard and Yale
+ https://osc.hul.harvard.edu/liblab/proj/connecting-dots-using-eac-cpf-reunite-samuel-
johnson-and-his-circle
» Social Networks and Archival Context (SNAC)
– National Archival Authorities Cooperative
+ http://socialarchive.iath.virginia.edu/xtf/search

11. » First Step:
˃Use XSLT to batch create EAC-CPF records from
existing EAD data

12. » Remixing Archival Metadata Project (RAMP)
˃ https://github.com/UMiamiLibraries/RAMP
EAD
EAC-CPF
Wiki
Markup

13. » Remixing Archival Metadata Project (RAMP)