Data Curator
New York University
New York City

The Center for Urban Science and Progress (CUSP) at New York University seeks
a Data Curator: an information scientist who will work with faculty,
researchers, and students in applied urban science to acquire and organize
data related to New York City. CUSP is a dynamic research and academic center
that requires a Data Curator to manage data ingest and access workflows, to
catalog data using and maintaining controlled vocabularies, and to provide
reference and data services to faculty, researchers, and students. The Data
Curator will manage the Data Lifecycle from beginning to end to ensure that
CUSP data is indexed, curated, and stored within the CUSP Data Warehouse for
discovery and access. Strategy must be employed to scale for both data volume
and data access growth.

  
Qualifications/Required Education:

Preferred Education: Master of Library or Information
Science

  
Required Experience: 3-5 years experience in a related field, such as applied
science, metadata schema design and management, taxonomy management, or
equivalent education and experience; relevant experience in research data
management as a researcher, research data manager, research data repository
manager , or in similar roles. Demonstrated experience in consulting with
faculty or researchers regarding technology or metadata creation; Demonstrated
understanding of the research and data lifecycle. Demonstrated experience in
curating and handling large data sets with particular understanding of
requirements for longer term digital archiving. Understanding of database
systems, XML, RDF, scientific metadata standards, API development, and related
technologies; as well as protocols such as OAI-PMH. Experience with ontologies
and metadata issues related to the discovery of academic or data resources.
Experience constructing and maintaining a controlled
vocabulary.

  
Preferred Experience: Professional data archive, repository, or warehouse
experience.. Professional computer programming experience. Professional data
management experience. Professional experience working within
academia.

  
Required Knowledge, Skills, and Abilities: (include unique competencies,
certification, licenses, etc.): Working knowledge of data management,
including metadata, data retrieval and research data use, format migration,
preservation; High-level interpersonal, consultation and reference skills,
including evidence of the ability to collaborate and liaise effectively with a
diverse range of faculty, researchers, and students. Highly developed
organizational and analytical skills with demonstrable ability to work
independently as well as collaboratively, to set priorities, show initiative
and balance the demands of working in a rapidly changing environment.
Awareness of issues related to data curation, data citation, data ethics,
metadata, and data privacy.

Preferred Knowledge, Skills, and Abilities: (include unique competencies,
certification, licenses, etc.): Familiarity with current efforts in annotation
standards. Familiarity with video data and/or sensor data. Familiarity with
data management technologies such as XML, SQL, MySQL, unix filesystems.
Ability to use XSLT, Python (or other programming language) and some relevant
programming experience is highly desirable. Metadata editing software.
Familiar with data warehouse architecture and workflows and ability to
systematize workflows.



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