Advertising your data: Using data portals and metadata registries

Key Info
URL - the landing page for the learning resource: 
https://commons.esipfed.org/node/736
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 "Using Data Portals and Metadata Registries." This module was authored by Nancy Hoebelheinrich from Knowledge Motifs LLC. 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 some common gateways that people often use to find your data: data portals and metadata registries.  We will describe what a data portal is and contrast it to a metadata registry.  We will explain some key information that you will need to know to submit information about your data, and some options for submitting the information to these gateways.  In addition, we will discuss some relevant data portals and metadata registries for science data. This module is available in both presentation slide and video formats.
 

Authoring Person(s) Name: 
Nancy J. Hoebelheinrich
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: 
Hoebelheinrich, N.J. 2012. “Local Data Management - Advertising Your Data: Using Data Portals and Metadata Registries.” 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/P3W37T8B
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 portals
Discovery metadata
Metadata registries
Data sharing
Data management
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Published / Broadcast: 
Saturday, September 1, 2012
ID - identifier that provides the means to locate the learning resource or its citation: 
doi:10.7269/P3W37T8B
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.
Contact Person(s): 
Nancy J. Hoebelheinrich
Contact Organization(s): 
Knowledge Motifs LLC
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