Creating Documentation and Metadata: Introduction to Metadata and Metadata Standards

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

This training module is part of the Federation of Earth Science Information Partners (or ESIP Federation's) Data Management for Scientists Short Course.  The subject of this module is "Introduction to Metadata and Metadata Standards".  The module was authored by Lynn Yarmey from the National Snow and Ice Data Center.  Besides the ESIP Federation, sponsors of this Data Management for Scientists Short Course are the Data Conservancy and the United States National Oceanic and Atmospheric Administration (NOAA).

In this module, we will be talking about metadata. To give you an overview of what this module will cover, we will be discussing terminology related to metadata, look at examples of metadata, bring metadata standards into the conversation and offer some suggestions on how to start implementing some of what we talk about in your lab. We will also give you a few pointers for more information.  This module is available in both presentation slide and video formats.

Authoring Person(s) Name: 
Lynn Yarmey
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 3.0 United States - CC BY 3.0 US
Access Cost: 
No fee
Citation - format of the preferred citation for the learning resource: 
Yarmey, L. 2013. “Local Data Management – Creating Documentation and Metadata: Introduction to Metadata and Metadata Standards.” In Data Management for Scientists Short Course, edited by Ruth Duerr and Nancy J. Hoebelheinrich, Federation of Earth Science Information Partners: ESIP Commons. doi:10.7269/P37D2S2J
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: 
Metadata standards
Metadata
Data management
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Published / Broadcast: 
Friday, February 1, 2013
ID - identifier that provides the means to locate the learning resource or its citation: 
doi:10.7269/P37D2S2J
Type - namespace prefix for the citable locator, if any: 
DOI
Publisher - organization credited with publishing or broadcasting the learning resource: 
Federation of Earth Science Information Partners (ESIP Federation)
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Presentation - representation of the particular way in which an author shows, describes or explains one or more concepts, e.g., a set of Powerpoint slides.
Contributor Name: 
Name: 
Ruth E. Duerr
Type: 
Writing – Review & Editing
Name: 
Nancy J. Hoebelheinrich
Type: 
Writing – Review & Editing
Name: 
Nancy J. Hoebelheinrich
Type: 
Voiceover Video Performer
Contact Person(s): 
Lynn Yarmey
Contact Organization(s): 
Research Data Alliance - United States (RDA/US)
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: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Research scientist
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: 
ESIP Data Management for Scientists Short Course
Framework Node: ESIP Data Management For Scientists Short Course: 
Local Data Management