This position requires an analytical, creative person to establish data
for Duke#s new faculty activities system, Scholars@Duke, built on the
VIVO semantic web
application. Reporting to the Manager of Faculty Data and Systems, this
position will oversee
all aspects of the system#s data and vocabularies, from maintaining the
local ontology to
working with data sources and coordinating data management efforts.
The Data Curator will work with the cross-functional teams including
the project manager, web
developers, digital curators, information architects, business
analysts, domain experts and
faculty, as well as ontology experts in the VIVO Ontology Project.
While this position is
responsible for the local usabilityof metadata, ensuring that the data
is accessible and easy
to share, this person must immediately contribute to the staged
Become an expert in the standard VIVO ontologies and the local ontology
used in the first
Scholars@Duke implementation. Oversee all aspects of data in
Scholars@Duke and the
Faculty Data Repository (FDR). Work with institutional repository team
to oversee the
interfaces for publication data.
Assess the requirements for the new data sets to add to Scholars@Duke,
assessing potential data sources and working with data owners to add
data incrementally to
Scholars@Duke. Work with domain experts to understand new data sets and
within the VIVO ontology. Confirm usability with existing data users.
Advise the outreach
coordinator in establishing data management/maintenance processes.
Serve as the liaison to consumers of data in Scholars@Duke and the FDR,
and share support
of all systems with other team members. Contribute to the maintenance
of a Scholars@Duke
Collaborate with VIVO Ontology Project on all extensions and ontology
changes. Participate in
weekly VIVO meetings, attend national conference, and contribute to the
Combine a librarian#s understanding of metadata and commitment to
mapping with a programmers# ability to implement new technologies,
resulting in high levels of
data quality, integrity, breadth, timeliness and privacy.
Required Bachelor's or Master's degree in Library Science, Information
Science or Information Technology
Required At least two years of experience with metadata standards,
ontologies, or primarily database/web programming with some metadata
Experience with repositories and digital academic resources is
Preferred Experience with software implementations involving
architectures with various
data sources or input sources. Experience reconciling the ontologies in
Knowledge of information architecture.
Experience analyzing and understanding network graphs used to create
relationships in an ontology.
Required Excellent communication, analysis, and collaboration skills.
Must be able to
multitask, learn quickly, prioritize and think creatively. Proven
ability to plan, manage, and
complete projects. Knowledge of SQL, XML, XSLT, Ruby or Java.
Preferred Knowledge of RDF and SPARQL, as well as experience with OWL
services, and/or semantic web technologies. Familiarity with semantic
web technologies, linked
open data and the software development lifecycle.