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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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Background

PreviousAlaska Region Interim Data Management User GuideNextWhy Data Managment?

Last updated 2 years ago

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The Alaska Region of the U.S. Fish and Wildlife Service is committed to improving the management of its data resources and is included in the regional strategic intent. As a result, a comprehensive, long-term plan to develop and implement a Regional Data Management System (RDMS) began in the spring of 2020, with the expectation that the RDMS will be operational and in use in 3 to 5 years.

Properly managed data are documented, secure, discoverable, and accessible and timely. Documentation (i.e., metadata or data about data) provides sufficient and relevant information so that users can understand, interpret, and use all of the data and resulting products without additional guidance. Security procedures prevent loss and ensure data integrity. Discoverable data is readily found (e.g., using a data catalog), whereas accessible data is readily obtained (e.g., downloaded from a website). Using these qualities together ensures the effectiveness and efficiency of the data resources both within the Service and beyond.

This user guide describes the data management activities necessary to build a preservation folder for a project. Data resources within the folder are the subject of metadata records and these resources, supported by their metadata records, are the authoritative versions intended for long-term storage, all subsequent workflow, analysis, products, and sharing to outside partners.

This Interim Data Management User Guide is primarily for biologists and their supervisors in Fisheries and Ecological Services (FES), Migratory Bird Management (MBM), National Wildlife Refuge System (NWRS), and the Office of Subsistence Management (OSM). This guide is a living document (working draft) and revisions will reflect the ongoing development of the available systems in addition to feedback obtained from users. The procedures and processes outlined here attempt to employ best practices under the current restrictions imposed by resource and policy limitations. The team anticipates streamlining the current activities necessary in the interim for the final RDMS.

The first section of the document, Introduction, includes Why Data Management, , places data management activities into the larger context of the FWS mission, project management and provides guidance on determining which products should undergo data management.

The second section describes the : , , , and . A description of each activity and implementation guidance is given.

The remaining sections provide detailed guidance and best practices for each stages of the Data Management Lifecycle follow: PLAN, ACQUIRE, MAINTAIN, SHARE. A is provided at the end to define data management-related terms used in this document. The supplements this document by providing specific guidance for using to write metadata. The mdEditor is a web-based application used to create archive-quality metadata for projects and products.

last update August 2022

The Big Picture: Integrating Data Management with Project Management
Four Fundamental Activities of Data Management
Establish Roles and Responsibilities
Quality Management
Security and Preservation
Documentation
glossary
Alaska Region Metadata Guide
mdEditor