Data Curation Specialist, Humanities and Social Sciences

The Data Curation Specialist for Humanities and Social Sciences advances the mission of the University of Michigan Library and its Publishing division through working with faculty, students and staff to help manage, share and preserve their research data and other content of scholarly value, with a specialized focus on Humanities and Social Sciences. This is a highly collaborative position requiring coordination and negotiation of relationships and responsibilities across the Library and the University.

You will be an important member of the Deep Blue Repository & Research Data Services (DBRRDS) team [part of Michigan Publishing] and contribute to all aspects of its work. You will help develop data management and sharing plans, consult with faculty, staff, and students on their scholarly communication needs in collaboration with librarian experts and subject specialists, provide training to librarians and researchers on managing and sharing their scholarship and research data, and help researchers share their scholarship and research data with others through the library's Deep Blue Documents and Deep Blue Data repositories.

You will be the primary service contact for DBRRDS with Humanities and Social Sciences faculty, staff and students at U-M's Ann Arbor, Dearborn and Flint campuses. Other service activities and functions may be negotiated depending upon your knowledge, expertise, and interest.

You will report directly to the Director of Deep Blue Repository & Research Data Services under the Associate University Librarian for Publishing.

You may supervise student workers.

While partnering with colleagues at the Library, U-M Office of Research, Information Technology Services, Advanced Research Computing, as well as selected academic programs, institutes, departments, schools, and colleges across U-M campuses, you will engage in:

• You will use your knowledge of best practices in document and data curation and its potential application in different research settings to serve as a consultant for faculty and students in Humanities and Social Sciences fields. Consultation activities will range from single meetings to address a particular need to longer-term collaborations with researchers to explore or address larger issues. This may include participating in funded research projects as a named partner, depending on the interests, expertise and capacity of the person in this position.

• You will identify and connect with faculty and students who are engaged or interested in curating data and scholarly content from Humanities and Social Sciences fields. You will offer workshops and other educational programming on introductory and specialized topics of interest to the U-M community. You will also coordinate or lead meetings, events, or projects designed to facilitate communication, connections, and engagement between faculty, staff, students, and research centers across the U-M campuses.

• Using your knowledge of best practices in curation, as well as the needs of U-M researchers, you will design, develop and implement local standards of practice for the Library and the U M community to apply in support of advancing data curation and document deposit workflows. You will serve as the main liaison to the Rackham Graduate School and coordinate its dissertation deposit workflows.
  
  You will also design technical and policy tools that are practical and easy to use to facilitate and enhance the data and scholarly content produced by the research being done at U-M. This may include pursuing external funding depending on the expertise, interest and capacity of the person in this position.

• You will review data sets submitted to Deep Blue Data, in conjunction with other experts as needed, to assess the condition of the data set and to make recommendations to enhance the value and accessibility of the data for others. You will communicate recommendations to the researcher to address gaps, improve the value of the data's findability, accessibility, interoperability and reusability (FAIR), and enhance the data's potential for reproducibility.
  
  You will serve as a data curator in the Data Curation Network (https://datacuration.network), a consortium of academic libraries offering data curation and repository services.

• In conjunction with the other data curators, you will…