Niche Classification Systems | Planetree & Brian Deer
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Please join us on Thursday February 27th in the Terrace Lab from 12 – 1pm for a joint panel discussion with the CHLA: Specialty Classification Systems | Planetree & Brian Deer
For information on the CHLA and their speaker, please visit: http://blogs.ubc.ca/chla/
UBC ISKO has invited Alissa Cherry of the Union of British Columbia Indian Chiefs to speak about Brian Deer – details below. The panel speakers will talk for approximately 20 minutes each on their respective classification systems, after which there will be a question and answer period.
Please register through Eventbrite if you plan to attend.
Hope to see you there!
Alissa Cherry
We are very fortunate to have Alissa Cherry, Resource Centre Director for the Union of British Columbia Indian Chiefs (UBCIC), coming to speak at SLAIS about Brian Deer Classification.
She manages a unique research library collection and institutional archives that is used primarily for land claims research. Alissa is a member of the Academy of Certified Archivists and holds an MLIS from the University of British Columbia (UBC).
Prior to joining the UBCIC in 2006, Alissa worked for the BC Aboriginal Child Care Society and Xwi7xwa Library at UBC, and spent six years as Librarian in Yellowstone National Park.
Brian Deer
Library of Congress Classification (LCC) and the Dewey Decimal System (DDS) have come to dominate the organization of materials in libraries. It can be difficult to classify any highly specialized collection in such broad systems, but it is also important to consider that traditional library classification represents a particular socio-cultural interpretation which can create inherent bias in how information is organized.
This is a challenge libraries holding Indigenous Knowledge face and one alternative to LCC and DDS is the Brian Deer Classification. It has been used in a small number of institutions primarily in Canada including Xwi7xwa Library at UBC, but it has great potential to be adapted and implemented elsewhere.