Environmental Data Initiative Five Phases of Data Publishing Webinar - What are metadata and structured metadata?

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

Metadata are essential to understanding a dataset. The talk covers:

  • How structured metadata are used to document, discover, and analyze ecological datasets.
  • Tips on creating quality metadata content.
  • An introduction to the metadata language used by the Environmental Data Initiative, Ecological Metadata Language (EML). EML is written in XML, a general purpose mechanism for describing hierarchical information, so some general XML features and how these apply to EML are covered.

This video in the Environmental Data Initiative (EDI) "Five Phases of Data Publishing" tutorial series covers the third phase of data publishing, describing.

 

Authoring Organization(s) Name: 
Environmental Data Initiative (EDI)
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Data publication
Data quality - Core Trustworthy Data Repositories Requirements
Data wrangling
Discovery metadata
Metadata
Metadata standards
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Tuesday, March 13, 2018
Publisher - organization credited with publishing or broadcasting the learning resource: 
Environmental Data Initiative (EDI)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Event - time-based happening that is portrayed or covered by the learning resource, e.g., a webinar.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Course - series of units and lessons used to teach the skills and knowledge required by its curriculum.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
Data manager
Data professional
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)
Framework - A community-based organization plan or set of steps for education or training: 
FAIR Data Principles
Framework Node: FAIR: 
Accessible
Findable
Interoperable
Re-usable