Amber Billey received her MLIS from Pratt Institute in 2009 with certificates in Archives and Museum Librarianship. At Pratt, she focused on metadata standards, cataloging, and digital libraries for cultural heritage institutions. She currently works as the Catalog/Metadata Librarian at the University of Vermont, Bailey/Howe Library. Prior to UVM, she was the metadata specialist for Whirl-i-gig, the software firm behind the design of CollectiveAccess an open-source collection management system for museums, archives and historical societies.
|Interest in LODLAM||
I am interested in LODLAM because I have been following the Library of Congress BIBFRAME project very closely. I would like to meet other LODLAM professionals also interested in the future of bibliographic descriptions and the BIBFRAME model. I wrote a blog entry in response to the newly published BIBFRAME model:
Questions I would like to discuss with other LODLAM professionals: Is BIBFRAME a realistic model? How will BIBFRAME accommodate FRBR and RDA? Will it even need to accommodate FRBR and RDA? How can authorities and annotations (for holdings) work in BIBFRAME? What will a local BIBFRAME dataset look like?
|Linked Open Data Projects||
I am interested in the future of bibliographic descriptions and access. As an academic catalog/metadata librarian, I constantly struggle with the redundant silos of library metadata and inefficient maintenance of authority data. I want to play an active part in shaping and executing linked data in libraries, archives and museums. These cultural heritage institutions are responsible for providing access to our resources, and it is our duty as information professionals to utilize the tools available to break the silos.
I have not published any datasets yet, but I am looking to publish our subject and name authority data within the next year. I hope to match it against open linked LCSH datasets, and use our published dataset to maintain local authority lists.
I am also working on several small scale digital archive projects and I am exploring using linked data to publish those descriptive datasets.