Metadata Education Project

Metadata education strategy for "Introduction to Remote Sensing" course

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 . high (resolution) . .
Database principles . . . .
Data types (environmental/socioeconomic) . high medium(know how to read metadata) .
Data models (vector/raster) . . . .
Data sources high high medium(know how to read metadata) medium (clearinghouses)
Data quality/error high high . .
Data automation/update . medium (image processing steps) . .
Spatial Analysis . . . .
GIS project design/implementation . . . .
Decision making . . . .
Future/GIS trends . . . .
Interoperability/standards . . . .
Ethics/legal issues high (liability) . . .
Student projects high high medium .