|Date Posted||December 20, 2019|
CLIR/DLF Postdoctoral Fellowship in Data Curation
Stanford University Graduate School of Business Library
Two-year full-time position starting in 2020
The Stanford Graduate School of Business Library is offering a Postdoctoral Fellowship in Data Curation. Eligible candidates will have completed a doctoral program in information science, data science, or a related disciplinary field such as Economics or Business. The Data Curation Fellow will support the creation and development of a standards-based research data ecosystem and work closely with librarians, data scientists, faculty, and doctoral students who acquire and analyze research data. The successful candidate will work with librarians and data specialists who will help re-envision the Library’s role within the research data lifecycle and who can respond to and support new research methods being used by Stanford’s research community. The Data Curation Fellow will help to ensure that GSB Library’s acquired collections of qualitative data, quantitative data, text corpora, and software are properly evaluated, structured, described, and accessioned, and that these collections are appropriately secured and accessible for researchers at the University. This position will add value to existing research data services by tying together in a holistic way the GSB Library’s strengths in supporting faculty research grounded in a data lifecycle perspective.
This position will work to establish standardized data processes and workflows and is expected to collaborate closely with colleagues in Stanford Library working with research data, both purchased and generated. This person will also collaborate with GSB Research Initiatives and the Data Analytics and Research Computing team on data indexing, storage, and archiving projects. The position reports to the GSB Library Deputy Director and may also serve as a member of the Collection Development Team.
- Help to develop a sustainable program for research data acquisition and curation, including policies and workflows to manage sensitive and restricted data.
- Work in conjunction with subject specialists, faculty, bibliographers, and research librarians to curate research data acquisitions.
- Assist faculty, students, and researchers with identifying and locating appropriate sources of information.
- Collaborate with other Library and Research Hub units to make sure research data assets are appropriately discoverable and accessible to library users.
- Build and maintain data management and curation documentation and guides.
- Participate and track developments in the data curation, data management, and research data tools communities (e.g. DDI Alliance, Digital Curation Centre) in order to ensure Library workflows and processes are aligned and develop with community standards.
- Engage in outreach efforts within the library and with academic departments to assist with adoption of new data management and curation tools and services.
- In coordination with colleagues, organize training and workshops in areas related to research data lifecycle management, including data curation, analysis, and publication.
- Provide data management consultations and referrals to campus data creators in support of the research mission of the university.
- Ph.D. in information science, data science, or a Social Sciences field such as Economics or Business.
- Evidence of capacity to work at a high level of responsibility both independently and collaboratively.
- Practical understanding of the research process and research data lifecycle.
- Experience with or familiarity with using social science research data as part of teaching or research.
- Strong organizational and documentation skills.
- Consistent display of excellent verbal and written communication skills, including strong presentation skills.
- Knowledge of issues and technical challenges related to data curation, including privacy and de-identification, format migration, preservation, metadata, discovery, provenance, and data access (including Open Access).
- Familiarity with relevant standards for research metadata (e.g., DDI, SDMX, Schema.org, TEI, MODS, etc.) and data management practices and requirements.
- Evidence of engagement in relevant professional or academic communities.
- Demonstrated experience managing, analyzing, and otherwise working with research datasets using analytic tools and/or statistical software packages.
- Experience working on projects that support data-intensive research and ensure high functionality, discoverability, and preservability of digital research.
Salary Range: $82,000 per year.
Our comprehensive benefits package includes health insurance, life insurance, university retirement contributions, childcare and adoption assistance, and child tuition reimbursement. Professional travel funding is available to support research. More information regarding Stanford’s generous benefits can be found at this link.
How to Apply: Applicants must register and apply through CLIR’s online application system. Applicants seeking more information about this position can contact Michael Dula at firstname.lastname@example.org.
The Stanford Graduate School of Business Library is a highly valued partner in teaching, research, and learning at a globally renowned school within a great research university. The Library provides significant collaborative opportunities in support of faculty and students in several graduate degree programs.
The Stanford campus sits on over 8000 acres in the heart of California’s Bay Area, one of the most intellectually dynamic and culturally diverse areas of the nation. Palo Alto has a pedestrian and bicycle-friendly town center with an abundance of shopping and dining options, while the urban centers of San Francisco, San Jose, and Oakland are all within a 50 mile radius. Outdoor enthusiasts will find a year-round temperate climate with local hiking trails, redwoods, mountains, the San Francisco Bay, and the Pacific coast all competing for their attention.