Data and data support in academic libraries has gained prominence over the years, and many libraries are recruiting individuals with data skills and knowledge. Academic researchers are dealing with a flood of data and navigating new requirements for managing and archiving their research data. Moreover, with the advent of open data, big data, and data-driven research, faculty are also incorporating more data into their courses and quantitative literacy is becoming increasingly necessary. Librarians are recognizing their role in promoting research data management, quantitative literacy, and other aspects of data support.
This edited volume, tentatively titled Databrarianship: The Academic Data Librarian in Theory and Practice, will explore the emerging issues and responsibilities within data librarianship, drawing on a community of experts to create a volume with a mix of practical case studies and theoretical explorations of the future in the field. It will be unique in incorporating perspectives from a variety of areas within data librarianship from teaching and research support to research data management to research practices within specific disciplines. While our focus is primarily academic data support, we welcome chapter proposals that cross institutional divides.
Suggested topics include, but are not limited to:
- Data support services for researchers and learners
- Embedded data librarianship
- Data in the classroom
- Perspectives on teaching quantitative literacy
- Statistical literacy: Core competencies for students
- From digital maps to data miners: Data in the disciplines
- Data and the digital humanities
- Big data
- Management and preservation
- Data citation and scholarly communication practices (e.g., data sharing, open data)
- Data services and research data management
- Preserving and archiving data
- Metadata and cataloging practices for data
- Data Librarianship as a specialization
- Teaching data librarianship in LIS programs
- Teaching data librarianship on the job
- Future directions for data librarianship
- Data connections outside of the academic library
Submission procedure:
Please submit abstracts of up to 500 words and a brief author bio to databrarianship@gmail.com by October 31, 2014, with notification by November. Final manuscripts of 2500-5000 words are due April 30, 2015.
Editors:
Kristi Thompson, Data Librarian, University of Windsor, kristi.thompson@uwindsor.ca
Lynda Kellam, Data Services Librarian, University of North Carolina at Greensboro, lmkellam@uncg.edu
