METADATA SERVICES’ NEW CAPACITIES

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Presentation transcript:

METADATA SERVICES’ NEW CAPACITIES Holly Tomren Manager, Metadata Services, Drexel University Libraries Metadata Mixer May 10, 2017

Metadata Services - What comes to mind? https://flic.kr/p/oqa96H cc-by-nc Benjamin Reay, Big question mark

Not this anymore… https://flic.kr/p/8JM2ch Technical Services 8 by San Jose Library cc-by-sa

Metadata Services Managing the libraries’ metadata, wherever it is… Providing metadata expertise beyond the libraries…

Licensed online resources 95% of expenditures for new resources >50% of total collection Batch processing Automated tasks – scripting, etc. Knowledgebases, KBART

Shift in metadata role & priorities Configuration of discovery layers Mapping Facets Normalization

Digital collections & repositories More metadata schema to manage MODS, Dublin Core, etc. Data dictionary – local decisions about which fields to use & how to display, index Optimize for sharing Mappings for incoming collections Transforms/crosswalks for outgoing harvests

Metadata consultation Collections outside the Libraries: digital collections, research data, etc. Coach domain specialists in metadata creation: best practices, consistency, etc.

DataCite schema incorporated into our iDEA data dictionary Research Data Use cases for iDEA 4 Drexel research studies with data sets DataCite schema incorporated into our iDEA data dictionary New partnership with SHARE to improve metadata for Drexel research data

Entity Management Beyond authority control Beyond the catalog Persons & organizations as objects Identifiers: ORCID, etc. NACO membership

Linked data Get URIs into our metadata Data modeling Local vocabularies as use cases for ontology design

Metadata quality management Analysis & forensics Metadata manipulation batch and automated Beyond local databases The Nest by Michael Sauers https://flic.kr/p/hDiea cc-by-nc-sa The Nest by Michael Sauers https://flic.kr/p/hDiea

Changes in the role of library metadata From local to Global Participate in cooperative databases Share digital collection metadata with aggregators Outside-in to inside-out But prioritize unique > commonly held https://flic.kr/p/eTBmzs Earth by Irish Typebad cc-by-nc-nd Earth by Irish Typebad https://flic.kr/p/eTBmzs

Fewer constraints on metadata creation Space Poorly designed/configured online catalogs Limitations of MARC https://flic.kr/p/7CofDz cc-by Author card by David Fulmer Author card by David Fulmer https://flic.kr/p/7CofDz

New opportunities Discovery layer facets use metadata elements that were previously hidden From documents to data Greater flexibility to mix & match schema Things, not strings Cc-by-sa relationships are complicated by hojusaram https://flic.kr/p/4RjRgu relationships are complicated by hojusaram https://flic.kr/p/4RjRgu

Efficient workflows Managing resources (staff time) – unlimited possibilities, limited staff time & priorities Batch processing for tangible as well as electronic …Time… by Darren Tunnicluff cc-by-nc-nd https://flic.kr/p/7NWqwX …Time… by Darren Tunnicluff https://flic.kr/p/7NWqwX

Description as perpetual beta? Iterative improvement and enrichment Lifecycle beyond libraries https://flic.kr/p/8RVu1X Relax by Martha Soukup cc-by Relax by Martha Soukup https://flic.kr/p/8RVu1X