DescriptionThe 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: Bachelor's degree
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.
Last updated: Tuesday, February 28, 2017 23:43 UTC