Abstract
The core ARTL@S digital humanities
strategy is that of loosely coupling
resources, platforms, and use scenarios.
A number of sites will feed from
the same geodatabase (BasArt),
which will be enriched by users with
new content. Inspired by the Web 2.0
design principles, ARTL@S relies on
the BasArt API, which will enable an
ecosystem of sites to use primary
data to generate their own maps,
charts, and tables. A variety of economic
models will also be used to
support the site, from free to paybased.
User-generated content will be
monitored by data management and
curation techniques that will ensure
the rigor of the scientific approach.
Keywords
geodatabase, data generated from maps, economic models, data management, curation techniquess
Date of this Version
2012
Included in
Engineering Commons, Life Sciences Commons, Medicine and Health Sciences Commons, Physical Sciences and Mathematics Commons
Comments
Brian Lamb School of Communication, Purdue University