Postdoctoral Fellow in Software Curation
The fellow’s work will focus on exploring issues around preservation and publication of non-traditional scholarly outputs, notably software and data. Avenues of investigation might include (a) ways to demonstrate the value of non-traditional outputs as legitimate and first-class scholarly endeavors and (b) how new or expanded services for acquiring, managing, and disseminating non-traditional outputs can enhance libraries’ current offerings. As a data curation fellow at the California Digital Library, the successful candidate will be well positioned to help articulate the need for, and shape the landscape of, software and data curation activities at the University of California system and beyond. We expect the fellow to be active in helping to scope and shape the position’s responsibilities into something that both interests them and benefits the academic research, library, and museum community at large; therefore, the duties and responsibilities described here are open to revision and extension.
The fellow will interact with those UC stakeholder community members who are most likely to benefit from the fellow’s activities. The list of potential stakeholders includes library and IT staff; faculty and students; researchers affiliated with museums (http://www.universityofcalifornia.edu/cultural/museums.html); organized research centers such as the Berkeley Institute for Data Science (http://bids.berkeley.edu/) and the Long Term Ecological Research sites (e.g., the Santa Barbara Coastal LTER and the Moorea Coral Reef LTER); the UC Natural Reserve System (http://nrs.ucop.edu/index.htm); and various field stations and extension centers.
- Join and participate in the California Digital Library (CDL) community. This entails working primarily at the CDL offices in Oakland, CA, attending various meetings, and interacting with multiple groups at CDL (including but not limited to the UC3 group).
- Promote CDL software and data curation activities through papers, blog posts, and presentations.
- Provide a clear and comprehensive summary of the research data and software landscape across multiple disciplines, including the humanities, natural and social sciences, and other relevant groups.
- Identify potential connections across CDL services to integrate non-traditional research outputs such as software and data into the scholarly record. Explore opportunities for integration and collaboration beyond the CDL.
- Conduct research into metrics for assessing the usage and impact of non-traditional research outputs such as software and data. Investigate how best to ensure that the research community has positive incentives for the creation of high-quality, well-curated, and reusable research data and software.
- Work with the UC libraries and other campus stakeholders to survey current research practices across disciplines.
- Assist in creating a strategy for managing research data and software at the CDL by, for example, connecting diverse scholarly outputs such as researchers, articles, software, and data in a visible and searchable manner.
- PhD in a science or social science discipline. Experience conducting software/data intensive research.
- Basic coding skills in a scientifically-relevant programming language/environment (e.g., Python, R, Julia, MATLAB).
- Excellent written and verbal communication skills.
- Experience with open source software development.
- Experience with tools commonly used to develop and manage research software (e.g., GitHub, Jupyter notebooks, Docker, SQL).
- Familiarity with software licensing and other intellectual property issues.
- Other relevant technical skills, such as data analysis, data visualization, GIS, and UI/UX research and design.
- Understanding of core issues in the management and curation of software and data throughout the research process.
$70,000 plus benefits