Environmental Data Initiative Five Phases of Data Publishing Webinar - Make metadata with the EML assembly line

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

High-quality structured metadata is essential to the persistence and reuse of ecological data; however, creating such metadata requires substantial technical expertise and effort. To accelerate the production of metadata in the Ecological Metadata Language (EML), we’ve created the EMLassemblyline R code package. Assembly line operators supply the data and information about the data, then the machinery auto-extracts additional content and translates it all to EML. In this webinar, the presenter will provide an overview of the assembly line, how to operate it, and a brief demonstration of its use on an example dataset.

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

 

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 archiving
Data publication
Data transformation
Metadata
Metadata standards
Workflows - Core Trustworthy Data Repositories Requirements
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Tuesday, March 27, 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: 
Instruction - detailed information about aspects or processes related to data management.
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
Software engineer
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: 
Up to 1 hour
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