OAI metadata: why and how Jenn Riley Metadata Librarian Indiana University.

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Presentation transcript:

OAI metadata: why and how Jenn Riley Metadata Librarian Indiana University

Why share metadata? Benefits to users  One-stop searching  Aggregation of subject-specific resources Benefits to institutions  Increased exposure for collections  Broader user base  Bringing together of distributed collections Don’t expect users will know about your collection and remember to visit it.

Why share metadata with OAI? “Low barrier” protocol Shares metadata only, not content, simplifying rights issues Same effort on your part to share with one or a hundred service providers (basically) Wide adoption in the cultural heritage sector Quickly eclipsed older methods such as Z39.50

Three possible architectures OAI Harvester Digital asset management system Metadata creation module OAI data provider module Transformation Metadata creation system Stand-alone OAI data provider Transformation DC QDC MODS MARCXML DCMARCXML QDCMODS Metadata creation module Static Repository Gateway Transformation

Basic metadata sharing workflow Create metadata, thinking about shareability Determine format(s) you wish to share your metadata in Transform records into versions appropriate for sharing via OAI Validate transformed metadata Load transformed metadata into OAI data provider Test with OAI Repository ExplorerOAI Repository Explorer Communicate with service providers See what your metadata looks like once a service provider harvests it

Shareable metadata Jenn Riley Metadata Librarian Indiana University

Shareable metadata defined Promotes search interoperability - “the ability to perform a search over diverse sets of metadata records and obtain meaningful results” (Priscilla Caplan) Is human understandable outside of its local context Is useful outside of its local context Preferably is machine processable

Finding the right balance Metadata providers know the materials  Document encoding schemes and controlled vocabularies  Document practices  Ensure record validity Aggregators have the processing power  Format conversion  Reconcile known vocabularies  Normalize data  Batch metadata enhancement

Metadata as a view of the resource There is no monolithic, one-size-fits-all metadata record Metadata for the same thing is different depending on use and audience Affected by format, content, and context Harry Potter as represented by…  a public librarypublic library  an online bookstoreonline bookstore  a fan sitefan site

Choice of vocabularies as a view Names  LCNAF: Michelangelo Buonarroti,  ULAN: Buonarroti, Michelangelo Places  LCSH: Jakarta (Indonesia)  TGN: Jakarta Subjects  LCSH: Neo-impressionism (Art)  AAT: Pointillism

Choice of metadata format(s) as a view Many factors affect choice of metadata formats MARC, MODS, Dublin Core, EAD, and TEI may all be appropriate for a single item High-quality metadata in a format not common in your community of practice is not shareable

6 Cs and lots of Ss of shareable metadata Content Consistency Coherence Context Communication Conformance Metadata standards Vocabulary and encoding standards Descriptive content standards Technical standards

Content Choose appropriate vocabularies Choose appropriate granularity Make it obvious what to display Make it obvious what to index Exclude unnecessary “filler” Make it clear what links point to

Consistency Records in a set should all reflect the same practice  Fields used  Vocabularies  Syntax encoding schemes Allows aggregators to apply same enhancement logic to an entire group of records

Coherence Record should be self-explanatory Values must appear in appropriate elements Repeat fields instead of “packing” to explicitly indicate where one value ends and another begins

Context Include information not used locally Exclude information only used locally Current safe assumptions  Users discover material through shared record  User then delivered to your environment for full context Context driven by intended use

Communication Method for creating shared records Vocabularies and content standards used in shared records Record updating practices and schedules Accrual practices and schedules Existence of analytical or supplementary materials Provenance of materials

Conformance to Standards Metadata standards (and not just DC) Vocabulary and encoding standards Descriptive content standards (AACR2, CCO, DACS) Technical standards (XML, Character encoding, etc)

Before you share… Check your metadata  Appropriate view?  Consistent?  Context provided?  Does the aggregator have what they need?  Documented? Can a stranger tell you what the record describes?

The reality of sharing metadata Creating shareable metadata requires thinking outside of your local box Creating shareable metadata will require more work on your part Creating shareable metadata will require our vendors to support (more) standards Creating shareable metadata is no longer an option, it’s a requirement

Choosing metadata formats Jenn Riley Metadata Librarian Indiana University

Consider the materials Format Genre Specialized vs. general audience Primary vs. secondary Use

Consider the standards Purpose Multi-level vs. item-level description Method of expression Reputation of developer Stability Update frequency

Consider your institution Library, archival, or museum tradition Standards used in your community Resources and expertise available Formats already being used Systems and workflows already in place

Consider the needs of the project Robustness of description desired Describing multiple versions Relationships between records Other management needs