Metadata Education Project

Metadata education strategy for "Advanced GIS: issues/applications"

Course topics are only suggestions, based on a survey of existing GIS-related course outlines. Not all courses of this type will include all these topics, and depending on instructor preference some topics will be emphasized more than others. If a topic is included in a course, links are provided for suggested methods of integrating metadata into the topic. Topics with a "high" designation indicate that the value of discussing the relation of metadata to the specific topic is very high, and it is suggested that more lecture time/exercise time should be devoted to metadata for these particular topics than for topics with a "medium" or "low" designation.

Links to example course outlines

Learning Outcome Categories
Course Topics Conviction Motivation Skills Knowledge
Projection/scale . . . .
Database principles . medium medium low (database of metadata vs. discrete documents)
Data types (environmental/socioeconomic) . . . .
Data models (vector/raster) . . . .
Data sources . . high (how to read metadata) high (clearinghouses)
Data quality/error high high high medium (feature level metadata)
Data automation/update . medium medium (process steps) .
Spatial Analysis . medium (able to replicate process) medium .
GIS project design/implementation medium high . .
Decision making medium medium . medium
Future/GIS trends medium . . medium
Interoperability/standards medium . . medium (ISO, SDTS standards, profiles)
Ethics/legal issues high (liability) . . .
Student projects high high high high