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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. ACQUIRE
  2. Quality Management Procedures

Incorporating Data Standards

PreviousQuality Management ProceduresNextUsing Unique Identifiers

Last updated 2 years ago

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Data standards are guidelines for describing and storing data. Using data standards is crucial to making your data consistent and interoperable. Standards can apply at the whole dataset level (e.g., standard for sharing information about biodiversity) or to individual parameters (e.g., the date and time format: YYYY-MM-DD).

The USFWS data management policy requires biologists to use appropriate data standards whenever applicable. These can include:

  • Standardized descriptors such as latitude/longitude, state/county codes, wind direction, and telephone number

  • Classification systems such as and

  • Data layers such as , , and layers

An approved list of data standards for use in USFWS is currently under review.

Darwin Core
ISO 8601
vegetation classification
biological taxonomy
Hydrologic Units
Wetlands
Transportation