The Stanford University Libraries (SUL) has an opening for a Linked Data
Technologist within the Metadata Department in Technical Services. Linked Data
will be key to Stanford's evolving intellectual ecosystem. Location within the
Metadata Department, the Linked Data Technologist will be responsible for the
transformation of metadata from multiple metadata schemas into approved RDF
models for ingestion into appropriate data stores. Flexibility and the ability
to follow and anticipate developing technologies will be essential.

  
Although located within the Metadata Department, the Linked Data Technologist
will be part of a heterogeneous team composed of members from the Metadata
Department, Enterprise Systems, and Digital Library Systems and Services. The
incumbent will also serve as the contact point for enquiries of linked data
assistance from other parts of SUL.

  
This is a four-year, fixed-term position with the possibility of an extension.

  
Duties:

The primary duty of the Linked Data Technologist will be the transformation of
metadata from multiple metadata schemas into approved RDF models for ingestion
into appropriate data stores (triple store, etc.). More specific duties
include the automated remediation and augmentation of ingested metadata to
meet the model's standard including both the development of various mechanisms
for data manipulation and the processing itself, as well as the identification
and scoping of both local and external sources of metadata that can be
remediated through semi-automated means. Candidate metadata will need to be
analyzed for technical conformance to its metadata schema so that conversion
to RDF can take place accurately. The incumbent will also be responsible for
the investigation and selection of key technologies to meet program objectives
and the combination, integration, and tracking of provenance of ingested
metadata.

Qualifications

  
Minimum Qualifications:

  
Knowledge and experience with linked data standards, creation, and
manipulation.

Familiarity with of RDF, XML and other machine actionable metadata languages.

Hands-on experience using triple stores such as OWLIM, Jena, Sesame, etc.

Hands-on experience with mapping and transformation engines.

Demonstrated understanding of the theory and structure of library-related
metadata.

Knowledge and experience with MODS, EAD or similar metadata standards.

Familiarity with developing communication standards such as BIBFRAME.

Demonstrated ability to use or proven ability to learn basic tools, such as
XSLT or scripting, to transform or remediate metadata.

Excellent analytical and problem solving skills combined with attention to
detail for complex, detail-oriented work.

Excellent oral and written communications.

Ability to work independently, as a team member, and across organizational
boundaries in a highly demanding environment.

Flexibility to be organized, productive and effective in a dynamic
environment, involved with a variety of simultaneous projects.

  
Preferred Qualifications:

  
Experience using inferencing engines.

Broad knowledge of library repository functions, services, and requirements.

MLS or equivalent in knowledge and experience.

Familiarity with traditional cataloging practice and rules such as AACR2 and
RDA.

Experience with metadata transformations and cross-walking tools.

Familiarity with Stanford University Libraries and its Digital Library
environment.

  
Job #52576



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