Metadata Management for Spatial Data Infrastructures

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 
This presentation will focus on creating geospatial metadata for spatial data infrastructures. The growing emphasis on data management practices in recent years has underscored the need for well-structured metadata to support the preservation and reuse of digital geographic information. Despite its value, creation of geospatial metadata is widely recognized as a complex and labor-intensive process, often creating a barrier to effective identification and evaluation of digital datasets. We will discuss our set of best practices for describing a variety of spatial content types using the ISO Series of Geographic Metadata Standards. We will share a series of Python and XSLT routines, which automate the creation of ISO-compliant metadata for geospatial datasets, web services, and feature catalogs. These auto-generation tools are designed to work directly with XML documents, making them suitable for use within any XML-aware cataloging platform. Our goals are to make metadata creation simpler for data providers, and to increase standardization across organizations in order to increase the potential for metadata sharing and data synchronization among the geospatial community.
Authoring Person(s) Name: 
Kim Durante
Authoring Organization(s) Name: 
Stanford University Libraries
License - link to legal statement specifying the copyright status of the learning resource: 
Creative Commons Attribution 3.0 Germany - CC BY 3.0 DE
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
More info about
Keywords - short phrases describing what the learning resource is about: 
Data conversion
Data documentation
Geospatial data
Metadata standards
Research infrastructures
Subject Discipline - subject domain(s) toward which the learning resource is targeted: 
Physical Sciences and Mathematics: Astrophysics and Astronomy
Physical Sciences and Mathematics: Earth Sciences
Physical Sciences and Mathematics: Environmental Sciences
Published / Broadcast: 
Thursday, January 1, 2015
ID - identifier that provides the means to locate the learning resource or its citation: 
Type - namespace prefix for the citable locator, if any: 
Publisher - organization credited with publishing or broadcasting the learning resource: 
FOSS4G, Open Source Geospatial Foundation
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 Organization(s): 
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: 
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: 
Data manager
Data professional
Research faculty
Research scientist
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour