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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
  • 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)