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The third time's the charm!  The position of Linked Data Technologist at 
Stanford University has been reposted with a start date of September 
2014.  Same excellent position, just a slightly revised start date.  The 
Stanford University Libraries are committed to linked data as our 
future.  Participating in such grants as Linked Data for Libraries have 
pushed us even further towards our goal.  This key position will help to 
both develop our environment and maintain our expanding triple store.  
This time of transition provides us with unequaled opportunities to 
reinvent our information environment.  I look forward to hearing from 
those of you who would like to help us define it.

Applications should be made on the Library's website: 
http://library.stanford.edu/using/employment-opportunities/current-openings.

Philip

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*Linked Data Technologist, Metadata, Stanford University 
Libraries****-****Position number 62710*


    Description

*This is a four-year, fixed-term position with the possibility of an 
extension.The start date for the position is September 1^st , 2014.*

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.Located 
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.

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*

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*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 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.


-- 
Philip E. Schreur
Head, Metadata Department
Stanford University
650-723-2454
650-725-1120 (fax)