Metadata
General
Metadata is information about data.
- Name
- Who is
- Age
- Etc.
Metadata is a critical and integral component of data. It should never be treated as seperate.
Example of metadata:
- Nutrition facts of food
Digital metadata formats:
- Notes or log files
- Text files
- HTML file in outline format
- Customizable (eXtensible Markup Language - XML)
Metadata helps us understand what the data we're consuming is, about, describes, etc. It's similar to comments in code.
- Helps users understand data
- Provides consistent terminology
- Determine fitness
- Enables discovery
- Makes data searchable
- Provides info to clearinghouses (markets)
- Provides flexibility in search
- Key in sharing spatial data
- Documentation
- Limits liability
- Reduces workload, questions about data
- Cuts costs (enables automation)
Why create metadata?
- Becoming more common as a requirement
- Federal mandate
- Community / industry pressure
- Becoming easier to create
- ESRI vendor assistance
Why doesn't everyone create metadata?
- Complex & time-consuming to make, difficult to read.
- Becomes easier the more you do it, and takes less time
- Users should know how to interpret metadata
- Helps us become more familiar with the dataset
Key Canadian Standards
- Federal:
- Dublin Core
- 15 elements (web focus, industry support
- FGDC CSDGM (minimal)
- Middleweight (~30-300 elements); production rules
- FGDC CSDGM (Biological Data Profile [NBII])
- Heavyweight (over 400 elements); data focus
- Dublin Core
- International
- Federal Geographic Data Committee Content Standard for Digital Geospatial Metadata (FGDC CSDGM) (old)
- Now governed by ISO Technical Committee 211
Generally answers: who, what, where why, when, & how
Data Dictionaries
Related to metadata
- A catalog of all data held in a database, or a listing of items giving data names and structures
- Sometimes referred to as a Data Dictionary/Directory (DD/D)
- Pulls all of your metadata together for your entire project
Quality Assurance and Control
QA/QC is something that needs to be integrated into all aspects of GIS database development
- Ensure that everything is accurate, complete, logically consistent, and valid (see slides)