Make EML with R and share on GitHub

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

Introduction to the Ecological Metadata Language (EML). Topics include:

  • Use R to build EML for a mock dataset
  • Validate EML and write to file
  • Install Git and configure to track file versioning in RStudio
  • Set up GitHub account and repository
  • Push local content to GitHub for sharing and collaboration

Access the rendered version of this tutorial here:​https://cdn.rawgit.com/EDIorg/tutorials/2002b911/make_eml_with_r/make_em...

Authoring Person(s) Name: 
Colin Smith
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 sharing
Discovery metadata
Metadata
Metadata standards
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Wednesday, September 27, 2017
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: 
Interactive Resource - requires a user to take action or make a request in order for the content to be understood, executed or experienced.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management or data skills.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Learning Activity - guided or unguided activity engaged in by a learner to acquire skills, concepts, or knowledge that may or may not be defined by a lesson. Examples: data exercises, data recipes.
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
Undergraduate student
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: 
Findable