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Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

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Page 1: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Metadata 101Metadata 101

Sandy McIntyre Colby

SOASIS- Dayton

2000-11-30

Sandy McIntyre Colby

SOASIS- Dayton

2000-11-30

Page 2: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

OutlineOutline

Environment Scan

Metadata Basics

Dublin Core 101

Selected Standards

Discussion & Questions

Page 3: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Environment Scan

Environment Scan

Page 4: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

How big?How big?

7.1 million unique web sites, a 50 percent increase over the previous year's total of 4.7 million

41 percent of the Web, or about 2.9 million sites are Private– “OCLC Researchers Measure the World Wide Web” Oct. 16, 2000

(http://www.oclc.org/oclc/press/20001016a.htm)

Page 5: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

MetadataMetadata

Known items vs. a topic – Data about data– Or: Structured Data about data

Structure – Lots of communities do metadata

Page 6: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Metadata basics

Metadata basics

Page 7: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

MetadataMetadata

What is “metadata”?– Data about data– Or: Structured Data about data

Sound familiar?– Lots of communities do metadata

Page 8: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Why metadata?Why metadata?

Improves discovery

Enables retrieval

Supports administration

Page 9: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

DiscoveryDiscovery

Navigating large collections is challenging!

Used to build databases to answer key what, who, where, when questions like:– What exists on a topic, in a genre, by an author, for a specific

audience, published in a given year?

Brings out content, value, relationships that are not expressed in the resource

Supports fast, arm’s-length evaluation of resources to optimize retrieval, save users’ time

Is often used to “market” resources to users – Catalogs / directories / search engines– Selective Dissemination of Information (SDI))

Page 10: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

RetrievalRetrieval Identifiers that assist manual and automated

systems in retrieval– Shelf location for physical resource– File location for electronic resource

System requirements for e-resources– User’s system responds to file type with correct application

Captures rights and privileges information– Circulation– Document delivery– Interlibrary loan

Page 11: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

So what’s the big fuss?So what’s the big fuss? The Web is large and growing quickly

Many producers, many users on the Web

Navigating networked resources is difficult

Good description = – better access– better control

Control and access = big business

Convergence of interests = collaboration in building standards (interoperability)

Page 12: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Types of metadata

Descriptive

Structural

Administrative1111

2222

3333

Title = Nitty Gritty Dirt Band

File type = jpg

Rights holder = NGDB

Concepts to know:Concepts to know:

Page 13: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Concepts to know (cont.):Concepts to know (cont.):

Semantics – What’s in a name?

Syntax – We gots grammar

Interoperability – Sharing...

Page 14: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Concepts to know (cont.):Concepts to know (cont.):

Metadata objects can be:

– Embedded in the resource

– Separate from the resource

– Both embedded and separate

MM

MM

MMMM

Page 15: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Dublin Core101

Dublin Core101

Page 16: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

“Dublin Core”“Dublin Core”

Common name for the Dublin Core Metadata Element Set (DCMES)

DCMES is a – a common core of semantics for resource description– it appears to be very useful in facilitating:

• retrieval of described resources

• as a lingua franca for the exchange of resource descriptions

DCMES is maintained by the Dublin Core Metadata Initiative (DCMI) hosted by OCLC

purl.org/dcpurl.org/dc

Page 17: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

International in ScopeInternational in Scope

Purl.oclc.org/dc/project/index.htmPurl.oclc.org/dc/project/index.htm

Page 18: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Dublin Core Metadata Element Set (DCMES)Dublin Core Metadata Element Set (DCMES)

A set 15 elements designed to enhance discovery and retrieval of resources

Goals of DCMES:• Simplicity of creation and maintenance

• Commonly understood semantics

• Conformance to existing and emerging standards

• International scope and applicability

• Extensibility

• Interoperability among collections and indexing systems

Page 19: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

“Rules” for DCMES“Rules” for DCMES

DCMES is extensible:– Additional elements, schemes, qualifiers may be defined and

used in conjunction with DCMES– DCMES may be modified by DCMI to add more elements,

schemes, qualifiers over time

Approved elements, schemes qualifiers may only be used with appropriate elements

All elements, qualifiers, schemes are optional

All elements, qualifiers, schemes are repeatable

DCMES special practice may be defined by individuals, agencies, communities

Page 20: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Dublin Core Metadata Element Set (DCMES) (cont.)Dublin Core Metadata Element Set (DCMES) (cont.)

Page 21: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Selected StandardsSelected

Standards

Page 22: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Selected metadata standardsSelected metadata standards

ISBD (AACR2 / MARC)

Text Encoding Initiative (TEI) headers

Encoded Archival Description (EAD)

VRA Core Categories (VRA CC)

Global Information Locator Service (GILS)

Content Standard for Digital Geospatial Metadata (CSDGM, formerly FGDC)

Page 23: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Metadata transport standardsMetadata transport standards MARC (MAchine Readable Cataloging)

SGML (Standard Generalized Markup Language)– HTML (Hypertext Markup Language)– XML (Extensible Markup Language)

RDF (Resource Description Framework)

Character encoding– MARC 21 repertoire– Unicode

Page 24: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Character EncodingCharacter Encoding

Many standards available

Of critical importance to be sure that systems correctly process, index, display textual data

MARC 21 uses various ISO standards plus EACC, etc.

Global standard gaining acceptance: Unicode

http://www.unicode.org/http://www.unicode.org/

http://lcweb.loc.gov/marc/specifications/speccharintro.htmlhttp://lcweb.loc.gov/marc/specifications/speccharintro.html

Page 25: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Who uses metadata?Who uses metadata?

Elementary students

Publishers, authors, institutions

Librarians Reference/Catalogers

International in scope

Page 26: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Elementary studentsElementary students

Journal of the American Society for Information Science, 51(2): 193-201, 2000: 193- 201.Journal of the American Society for Information Science, 51(2): 193-201, 2000: 193- 201.

Page 27: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Publishers, authorsPublishers, authors

Crossref- Ovid

The Association of American Publishers and Andersen Consulting recommended E-Book metadata standards

Implement a document-identification scheme worldwide

Page 28: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

WebmastersWebmasters

http://www.fortune.com/fortune/technology/alsop/0,5238,88063,00.htmlhttp://www.fortune.com/fortune/technology/alsop/0,5238,88063,00.html

Page 29: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

LibrariansLibrarians

Librarians– Reference, catalogers

Corporate, academic, government

Page 30: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

AcademiaAcademia

40,000+ images215,000+ recordsare in this system

40,000+ images215,000+ recordsare in this system

U. of Michigan's media image services (a search system based on Dublin Core elements)

U. of Michigan's media image services (a search system based on Dublin Core elements)

http://www.images.umdl.umich.eduhttp://www.images.umdl.umich.edu

Page 31: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Applying Dublin CoreApplying Dublin Core

Acquisitions– Often mandated (law or management)

Determine metadata set

Controlled vocabulary

Template (tools)

Indexing

Prototype

Page 32: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

CORCCORC

Discovery, harvesting, template, automated HTML

Internal publishing

Leaflets (web resources that end unto themselves)

Global standard gaining acceptance: Unicode

Page 33: Metadata 101 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30 Sandy McIntyre Colby SOASIS- Dayton 2000-11-30

Additional links: Web Characterization:

– Statistics, publications, related links (http://wcp.oclc.org/)

Cataloging & Metadata Resources: – Metadata (http://slis.cua.edu/ihy/catmeta.htm#D2)

Open Archives Initiative:– (http://www.openarchives.org)

Dublin Core Metadata Initiative– Home page (purl.org/DC)

Dublin Core Library Interest Group mailing list: – http://www.mailbase.ac.uk/lists/dc-libraries/

IFLA -- Digital Libraries: Metadata Resources– http://www.ifla.org/II/metadata.htm