Data about data. Metadata describes how and when and by whom
a particular set of data was collected, and how the data is formatted.
Metadata is essential for understanding information stored in data
warehouses.
Content standard - Conceptual (elements of description)
Encoding standard - Container (markup or container scheme)
elements of description - embedded, associated, or external
Levels of Data - Controlled vocabularies or free-text
Rules governing metadata elements, Inputting Guidelines.
Invisible Work
Metadata process
Creation of metadata = Cataloging
In both processes, there is a record that is the resulting product -
surrogate record, bibliographic record, metadata record
Metadata may be either embedded with the data it describes (meta tags),
be associated (FGDC
CSDGM
records) or external (catalog records)
Metadata Standards/Frameworks
ISBD: MARC
(used in conjunction with AACR2R)
Dublin Core (DC) - Z39.85
Global Information Locator Service (GILS)
Encoded Archival Description (EAD)
Content Standard Digital GeoSpatial Metadata (CSDGM) - FGDC
Learning Object Metadata (LOM) - IEEE (IMS)
Core Catagories for Visual Resources (CDWA)
Communities
Librarians, Data managers, Software developers
ISO/DIS 19115 Metadata Standard
ISO/TC (Geographic Information)
How metadata standards are constructed
Based on FGDC
CSDGM
Incorporates DC
Data/Resources to be described are varied: datasets, research reports,
instructional materials
Stakeholder (suppliers and users) needs formetadata is now
extended to Reuse, Uepackaging, Preservation, Context of Use-Associated
Features (Annotations, Grade & Comments)
Metadata for Education Initiatives
NSF Initiative to build
digital libraries that support learning
NSDL (National Science, Mathematics, Technology Education Digital Library);
DLI-2; International DLI
Initiatives - Joint Information Systems Committee
(UK)
& European Union (EU) - NSDL; ARIADNE; EdNA