Digital Content Metadata Librarian
The Johns Hopkins Libraries and University Museums invite applications for the Digital Content Metadata Librarian position. The position provides leadership and expertise
in developing creative, collaborative, and sustainable solutions for providing and managing metadata for
locally hosted digital resources.
RESPONSIBILITIES: Evaluates,
designs, oversees the creation and management of metadata for the digital initiatives of the Libraries and University Museums. Defines strategies and creates guidelines/best practices, policies, procedures for the authoring, harvesting, enhancement,
remediation, and transformation of digital metadata including metadata supplied by end users or crowdsourced to support its use and re-use. Collaborates with colleagues across the institution to develop metadata specifications to ensure consistent practice,
including the selection of metadata schema , data elements, thesauri, crosswalks, and style sheets to make resources accessible for digital collections in diverse formats including text, image, audio, video, and research data sets. Assists with digital metadata
creation, transformation, and maintenance including quality control. Provides training in metadata management, linked data, semantic web applications, and ontologies. Evaluates new technological platforms in regard to the descriptive, administrative,
structural, and preservation metadata needs supporting the storage, discovery, and delivery of the Libraries and University Museums’ locally hosted digital resources. Coordinates metadata local ingest as well as its sharing with diverse systems across the
institution and with outside entities such as HathiTrust, Digital Public Library of America, and Academic Preservation Trust. Collaborates with library colleagues and the larger institution in the application of name and place identity management across data
stores to provide consistency of use and to facilitate end user searching.
QUALIFICATIONS:
MLS/MLIS/MSI, or equivalent degree, from ALA-accredited Library or Information School
or other relevant graduate degree with 3 years related job experience.
Experience in creating, editing, and transforming metadata; aptitude for learning new technologies and metadata standards.
Demonstrated understanding of data modeling techniques. Familiarity with standard metadata formats frequently used (e.g., Dublin Core, MODS, MADS, METS, scientific metadata standards).
Demonstrated success with project management and workflows.
Familiarity with metadata transformation and remediation tools such as Oxygen, MARCEdit, and Open Refine.
Experience working in a collaborative environment, including working with people with diverse backgrounds. Familiarity with digitization technology and best practices.
Ability to analyze and to solve problems creatively and flexibly in a complex and rapidly changing environment. Self-motivated, ability to multi-task and to exercise independent judgment.
Ability to balance priorities and meet deadlines.
Strong service orientation and interest in information users' values and needs.
Commitment to professional growth and development. PREFERRED:
Familiarity with identities management systems, including ORCID, VIAF, ISNI. Familiarity with XML/XSLT/XQuery and RDF/SPARQL tools. Familiarity with tools that transform metadata and cross walk
between standard formats. Familiarity with linked data, semantic web applications, ontologies, and RDF. Experience in an academic or research library, museum, archive, or comparable environment.
Familiarity with archival practice and associated metadata such as EAD, DACS, EAC-CPF.
A key partner in the academic enterprise, the Johns Hopkins Libraries and University Museums are a leader in the innovative application of information
technology and have implemented notable diversity and organizational development programs. A strategic goal of the Libraries and Museums is to work towards achieving diversity when recruiting and promoting existing staff. The Libraries and Museums prize
initiative, creativity, professionalism, and teamwork. For more information visit:
http://www.library.jhu.edu
To unsubscribe from the DLF-ANNOUNCE list, click the following link:
http://lists.clir.org/scripts/wa-CLIR.exe?SUBED1=DLF-ANNOUNCE&A=1