CRISP: Crowdsourcing Representation Information to Support Preservation
Resource type
Conference paper (published)
Creator (person)
Date published
October 2012
Abstract
In this paper, we describe a new collaborative approach to the
collection of representation information to ensure long term
access to digital content. Representation information is essential
for successful rendering of digital content in the future. Manual
collection and maintenance of RI has so far proven to be highly
resource intensive and is compounded by the massive scale of the
challenge, especially for repositories with no format limitations.
This solution combats these challenges by drawing upon the
wisdom and knowledge of the crowd to identify online sources of
representation information, which are then collected, classified,
and managed using existing tools. We suggest that nominations
can be harvested and preserved by participating established web
archives, which themselves could obviously benefit from such
extensive collections. This is a low cost, low resource approach to
collecting essential representation information of widespread
relevance.
Editor
Moore, Reagan
Ashley, Kevin
Ross, Seamus
Event title
iPRES 2012
Publisher
University of Toronto
Place of publication
Toronto, Canada
Rights statement
In Copyright