Simplifying the Reuse and Interoperability of Hydrologic Data Sets and Models with Semantic Metadata that is Human-Readable & Machine-Actionable

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

This slide set discusses the big, generic problem facing geoscientists today that stems from lack of interoperability across a huge number of heterogeneous resources, and how to solve it.  Practical solutions to tame the inherent heterogeneity involve the collection of standardized, "deep-description" metadata for resources that are then wrapped with standardized APIs that provide callers wtih access to both the data and the metadata.  

Authoring Person(s) Name: 
Scott Peckham
Authoring Organization(s) Name: 
Institute of Arctic and Alpine Research (INSTAAR), University of Colorado Boulder
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: 
Interoperable data - FAIR Data Principle
Metadata standards
Expert guidance - Core Trustworthy Data Repositories Requirements
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Earth Sciences
Published / Broadcast: 
Wednesday, May 17, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Intelligent Systems and Geosciences (IS-GEO) Research Coordination Network
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 Organization(s): 
Name: 
Earth System Bridge, EarthCube
Type: 
Collaborator
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: 
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
Mid-career research scientist
Early-career research scientist
Research faculty
Graduate student
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: 
Interoperable