"Standards for Metadata: Who is developing What, where and why" Presented by Todd Carpenter at American Association of University Presses (AAUP) Annual Conference in New Orleans, LA on June 22, 2014
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Standards Developments in Identification and Description
1. Standards:
Who is developing
what, where, and why?
Todd Carpenter, Executive Director, NISO
American Association of University Presses Conference
New Orleans, LA • • • June 23, 2014
3. A US-baed non-profit industry trade association accredited by
ANSI with 200+ members
Mission of developing and maintaining technical standards
related to information, documentation, discovery and
distribution of published materials & media
Volunteer driven organization: 400+ spread out across the
world
Represent US interests to ISO TC 46 & subcommittees
Also serve as Secretariat for ISO TC46/SC9 - Identification &
Description
Responsible for standards like ISSN, DOI, Dublin Core metadata,
DAISY digital talking books, OpenURL, MARC records format,
and ISBN
About
4. NISO’s Community
35 % Publishers/Publishing
Organizations
32% Libraries/Library
Organizations
36 LSA Members
(non-voting)
33% Library Systems Suppliers,
Publishing Vendors & Intermediaries
ISO
ANSI
Other SDOs
5.
6. Technical Committee (TC) 46
Information & Documentation
Subcommittees (SC):
4 – Systems Interoperability
8 – Performance Measurement
9 – Identification & Description
11 – Records Management
NISO manages the Secretariat of ISO TC 46, SC 9
7.
8.
9.
10.
11. • IDEAlliance - Magazine industry, PRISM
• Library of Congress - MARC, PREMIS, SRU/SRW
• ALA - AACR2, RDA
• IDPF - EPUB, E-books
• ARMA-International - Records Management
• OASIS - XML Standards
• CrossRef - DOIs, FundRef, CrossMark
• IMSGlobal - Learning Management Systems
• Amazon - ASIN, KINDLE
Still More Standards(ish)
Organizations
21. Some NISO Work in these areas
Open
Discovery
Initiative
Knowledgebases
&
Related
Tools
Open
Access
Metadata
and
Indicators
Some NISO work in these area
22. A Few Key Concepts
In identification & description
(identifiers & metadata)
26. Identifiers can be but are not necessarily names
(often better if they aren’t)
IDs can be but need not be human-readable.
They also may or may not be human
understandable.
Not every attribute need be described
An ID & its metadata