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Alaska Region Interim Data Management User Guide
  • Alaska Region Interim Data Management User Guide
  • Background
    • Why Data Managment?
    • The Big Picture: Integrating Data Management with Project Management
    • Definition of Project and Product (aka Data Resources)
  • Four Fundamental Activities of Data Management
    • Establish Roles and Responsibilities
    • Quality Management
    • Security and Preservation
    • Documentation
  • Alaska Data Management 101
    • Workflow
    • File Organization and Best Practices
      • Best Practices in Naming Conventions
      • Best Practices for Version Control
      • Changelog Best Practices
    • Alaska Regional Data Repository
    • Data Management Policy
  • Plan
    • Why Data Planning?
    • Data Management Plan Templates
      • Data Standards in brief
    • Project & Data Management Integration
    • Considerations for Projects with External Partners
  • ACQUIRE
    • Common Data Types
      • Open Formats
      • Best Practices in Tabular Data
      • Best Practices in Databases
      • Best Practices in Geospatial Data
      • Best Practices with Collections of Similar Types of Data
      • Best Practices with Source Data
    • Quality Management Procedures
      • Incorporating Data Standards
      • Using Unique Identifiers
  • MAINTAIN
    • Update Metadata
  • Access & Share
    • Open Data Requirements
      • Obtaining a Digital Object Identifier (DOI)
      • Obtaining a URL
      • Sharing without a URL
  • Long-term Storage Options
    • Using the Regional Data Repository
    • Public Accessible Repositories
  • Records Schedule & Disposition
  • Data Management Actions Quick Guide
  • Glossary
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  1. Plan
  2. Data Management Plan Templates

Data Standards in brief

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Last updated 2 years ago

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Data standards are simply a pre-defined format and field name for a value or attribute. Using the same attribute fields and formats across the Service increases the re-usability of our data, both internally and externally. For example, when the the date or year is collected in a dataset, the standard field name is YEAR, and the format is YYYY where Y represents a number 0 to 9.

All FWS approved data standards are detailed .

Some common data standards are listed below.

Attribute Description
Field Name
Format

Calendar Date

DATE

MMDDYYYY

County Name

COUNTY

County Numeric Code

COUNTYCODE

NNN

DUNS

NNNNNNNNN

ECOSYSTEM

ECONUM

NN

FIREUNITID

AAAAA or AAANA

FY

YYYY

GEONAME

CNTYNAME, CNTYCODE

LAT, LONG

WINDDIR

W

WINDSPEED

NN

Where N is a numeric value from 0 to 9 and A is a alphabetical value.

here
Dun Universal Numbering System
Ecosystem Unit Name
Ecosystem Unit Number
Fire Unit Identifier
Fiscal Year
Geographic Area Name
see list
Geopolitical Name & Code
Latitude & Longitude
Wind Direction
see list
ind Speed