Friday, November 21, 2014

Director - WorldCat Quality Management - OCLC - Columbus


Job description
The Director, WorldCat Quality Management provides enterprise-wide coordination and recommendations for data curation activities over a broad definition of WorldCat data assets. That includes traditional bibliographic data, e-resource collection data, article metadata, and new metadata assets developed through data mining. This work includes coordination with OCLC’s Business Development team and OCLC Research.

Directs WorldCat Quality Management Section, which provides a focus within the Data Services organization for national and international metadata standards activity, including traditional cataloging standards, new standards and newly emerging ones supporting an entity-based data architecture.
Directs WorldCat Quality Management Section, which provides a focus within the Data Services organization for national and international metadata standards activity, including traditional cataloging standards, new standards and newly emerging ones supporting an entity-based data architecture.
Directs data curation activity for WorldCat data assets, which provides policy management and enforcement across multiple WorldCat data pools: cataloging, knowledge base, and article content in the Central Index.
Tasks include strategic planning for comprehensiveness of data to match OCLC’s enterprise goals: this includes coordination with the owners of OCLC applications and services and the Publisher Relations team within Business Development. The incumbent is responsible for enterprise-coordination to determine current strengths and weaknesses of WorldCat data assets and developing cross-divisional tactical plans to execute the strategy.
Section staff are responsible for quality control activities in WorldCat and the OCLC authority file, for national programs such as PCC, BIBCO and CONSER, for the OCLC Enhance Program and for the OCLC CIP Upgrade Unit.
The section serves as coordinator for relationships with vendors from whom OCLC acquires metadata for addition to WorldCat and to whom OCLC supplies metadata, and for relationships with local system vendors.
Section staff also assist in the support of the Batchloading service and related functionality.
Works with the Executive Director, Data Services & WorldCat Quality and the Senior Product Manager for WorldCat on the strategy and tactics required to respond to innovations in metadata management. The incumbent will inform OCLC’s responses to opportunities in new metadata initiatives designed to make library data more accessible to the web. The focus of this work is on defining and implementing data quality regimes for new data assets.
Section staff are responsible for quality control activities in WorldCat and the OCLC authority file, for national programs such as PCC, BIBCO and CONSER, for the OCLC Enhance Program and for the OCLC CIP Upgrade Unit.
The section serves as coordinator for relationships with vendors from whom OCLC acquires metadata for addition to WorldCat and to whom OCLC supplies metadata, and for relationships with local system vendors.
Sections staff also assists in the support of the Batchloading service and related functionality

Desired Skills and Experience
The position requires an MLS from an accredited ALA library school.
A minimum of 5 years of cataloging experience using AACR2/RDA cataloging conventions and MARC21 and/or other standard metadata schemes.
Proven successful management experience with a minimum of 5 years in the library market.
Experience with automated online library systems, such as OCLC, and library local systems.
Excellent oral and written communication skills.
Ability to work cooperatively and support others in meeting their deadlines.
Ability to perform in a work environment characterized by constant change while maintaining a positive customer service attitude.

Desired but not required
Familiarity with non-MARC based metadata standards, Dublin Core, VRA, EAD, or other emerging metadata standards.
Familiarity with semantic web conventions for data management and exposure. Knowledge of linked data principles and entity-based data management.
Experience with digital asset management systems that support non-MARC based systems
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