Linked Data Technologist, Metadata Department, Stanford University Libraries
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. Applications should be made to the University's website: http://library.stanford.edu/using/sulair-job-opportunities/current-employmen t-opportunities-stanford-libraries.
