Shades of Grey: Integrating Metadata for Discovery in a Mixed-Content Single-Subject Library GENEVIEVE PODLESKI FEDERAL RESERVE BANK OF ST. LOUIS.

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Shades of Grey: Integrating Metadata for Discovery in a Mixed-Content Single-Subject Library GENEVIEVE PODLESKI FEDERAL RESERVE BANK OF ST. LOUIS

FRASER (fraser.stlouisfed.org) is a mixed subject and institutional repository that preserves and provides access to economic and banking data and policy documents.fraser.stlouisfed.org

FRASER is grey Federal Reserve publications make up approximately 30% of FRASER’s nearly 1200 titles, including economic datasets United States government publications make up more than 50% of FRASER titles Legislation Hearings Reports Data FRASER also holds more than two dozen digitized archival collections

Where did we start? FRASER began as in 2004 as a data preservation and accessibility project – not a “digital library” Metadata was developed ad-hoc Each section of the public website had its own metadata set in the database PublicationsArchives Statistical Data FRASER

Goals More attractive and browsable public site launched in conjunction with the Federal Reserve centennial Better interoperability with other collections and with DPLA Improved ability to share content, including dynamically-generated research citations

The process D RAFT D ISCUSS T EST E VALUATE R EVISE I MPLEMENT

Dublin Core Pros –commonly used –easy crosswalk –DPLA compliant –simple and straightforward Cons –broad instead of precise –many element usage conventions didn’t fit FRASER collection –poor representation of related items and series

Testing exposes pitfalls How much work will this take to implement? –Can data entry be automated? –Will you have to create vocabularies and best practices from scratch? –How much of the collection will an ‘out of the box’ implementation describe accurately? What’s out of our control? –Technological limitations –Organization of special collections or collections from contributing institutions

MODS More ‘library-like’ – AACR2 and RDA compliant Avoids Dublin Core implementation issues Allows import/conversion of MARC records DPLA compliant But… Still isn’t a perfect fit for archival collections, some titles, multiple authors, or non-print items

Implementation Once a standard is selected, you still have to implement it. –Carefully document choices you make when implementing –Make adjustments to the standard if necessary –Automate what you can –Resign yourself to doing the grunt work –May need to change materials or practices and not the standard The perfect is the enemy of the good. ( Le mieux est l'ennemi du bien.) — Voltaire

Lessons learned Begin at the beginning, if possible Test, test, test, and then test again Even the best fit isn’t a perfect fit Sometimes you have to change your practice One step at a time… …even if you step backwards Document everything Just Do It.

Questions? Genevieve Podleski