sherry lake candidate for metadata specialist for user projects
Post on 02-Jan-2016
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What is Metadata?
Information about an information resource of any media type or format.
Metadata Fundamentals for All Librarians, Priscilla Caplan, 2003.
Information To….. Identify Find Access Manage Help in using the data
Community Specific Metadata
metadata for describing structural divisions in text standard for encoding finding aids so that they can be searched and viewed online
describe works of visual culture and images.metadata for describing maps, and geospatial datasets standard for description of social and behavioral sciences datasets
TEI EAD VRA
CSDGM (FGDC)
DDI
General Metadata Schemes
Format used in traditional libraries
MARC
METS
GDMS
Dublin Core
MODS
DescMeta
Library of Congress metadata for describing complex digital library
Objects. It encodes descriptive, administrative, and structural metadata Developed by UVA’s Digital Research and Development Group for collection and data objects
A simple international standard metadata for describing digital resources across disciplines Descriptive metadata, derivative of MARC21 UVa’s descriptive metadata for Digital Library objects
Cross Discipline Project
Digital Library Research and Development
Brown Science and Engineering Library
Geospatial and Statistical Data Center
Civil Engineering
Systems and Information Engineering
Various Undergraduate and Graduate Students
Project Goals
To provide easy access to a diverse collection of data resources about Virginia
To design a general approach to collection building (and metadata) that can be applied to all kinds of statistical and science datasets
Project Scope
United States Census of Population and Housing 2000, Virginia: Summary File 3
Virginia Department of Transportation (VDOT) Intelligent Transportation System (ITS) Data
National Climatic Data Center (Virginia), Climate Surface Data
The Data Problem
Three different datasets Space and time Definitions and terms
Various “native” data formats SPSS Comma Delimited Oracle Database
Lots of Data for Virginia 135 counties, 48 files each (Census) 1948 – 2005, 1326 historical & active stations (Climate)
Simplifying the Problem
Choosing a subset of the data to test the design
Breaking the data down into smaller parts;
defining “Datasets Objects”
Choosing a common file format; creating “Database Objects”
Modeling Virginia Objects
Modeling Virginia
Census Traffic Weather
2000 Station Data Climate Division 1 Climate Division 2Incident Data
CountySchool Districts
Hampton Va Beach Norfolk
File 1 File 2 File 3
Dataset Object Metadata
Metadata Purpose
Metadata Standard
1. To describe the hierarchical dataset2. To use for discovery3. To tie the datasets together
1. GDMS (General Descriptive Modeling Scheme)
2. Position for use in UVa’s Digital Library
Database Object Metadata
Do the datasets have “native” metadata?
What existing standards are best suited for numerical data? FGDC? DDI?
Other Considerations?
Choosing a Standard
Review of FGDC and DDI with the following criteria:
Data file description as a wholePhysical description of the file formatVariable level descriptionVariable, physical description
Using the DDI Standard
Created a Data Dictionary
Applying the Digital Library’s Minimum Metadata Requirements
Using only metadata elements that apply to these database objects and the project
Training with Metadata
Instructed members how to create DDI files Advised on metadata content Created DDI-XML Template
One-on-one training with Nesstar Publisher Created Nesstar Templates
One-on-one and group training on GDMS
Images
Reviewing Metadata
Checked sample DDI mark-up files
Discussed the use of other DDI elements
Group review of GDMS output
Review of Metadata is continuing
What I Learned
All data objects are different and each have different metadata needs
Be clear, consistent and specific
Don’t be afraid to alter standards to fit your need: Document your Practice!
Metadata must be reviewed and reviewed
Include information creators in metadata creation.
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