Research Data Management
Instructor: Jillian Wallis
Dates: Not currently scheduled
Credits: 2.25 CEUs or 22.5 PDHs
"Digital information lasts forever or five years, whichever comes first" - Jeff Rothenberg, RAND
Petabytes of scientific data are produced on a regular basis, but could be lost in as much time if they are not properly captured and curated for future use, nor marked up in a way that allows for discovery and reuse by researchers. What can we do to help? Librarians, archivists, and information professionals bring many necessary skills to the realm of scientific data. For instance, developing necessary metadata, standards, and systems of classification, or establishing an archival plan for data selection, migrating data forward, and creating finding aids that capture the placement of data in its milieu for the user, or finally developing appropriate databases and technologies to support data creation, preservation, discovery, and reuse to capture data earlier in the data lifecycle rather than asking for deposition after the publication is away. As institutions are largely being held responsible for the long-term preservation and hosting of scientific research data, data librarianship within the context of academic and special libraries is both viable and necessary for those who have an interest.
As a relatively new area, data management is a place where information professionals can make a difference by bringing our expertise to a timely need. The purpose of this course is to explore the processes of data production and data management, and the role of LIS professionals and institutions in supporting data producers. The course is geared towards academic librarians, but can be more broadly applicable. The course will cover the following topics:
- The role and lifecycle of research data
- Stakeholders and stakes in data management
- Data sharing and data reuse
- Data selection and appraisal
- Repositories and registries
- Data management standards
- Tools for writing funder-required data management plans
- The role of institutions and institutional libraries
During the course students will be exposed to various policy reports and current research, and will be expected to prepare a data management plan appropriate for submission to NSF/NIH/NEH, a data curation profile, or an institutional data management policy.
This course can be taken as one of eight courses needed to earn our Certificate in Cataloging and Technical Services, but can be taken as a stand-alone course as well.
This course can be taken as one of six courses needed to earn our Certificate in Scholarly Communication, but can be taken as a stand-alone course as well.
Jillian Wallis is currently a postdoctoral researcher working with Dr. Christine L. Borgman in the Graduate School of Education & Information Studies at UCLA. She researches the data practices and collaboration of researchers at the Center for Embedded Networked Sensing. She graduated from UCLA with an MLIS in 2005, and received her Ph.D. in 2012. Her dissertation, entitled, “The Distribution of Data Management Responsibility within Scientific Research Groups” described the various data management activities performed by researchers, and who did what activity when within a given research group. She has developed and taught a data management course with Dr. Borgman that is given annually in the Information Studies department, as well as workshops on controlled vocabulary design and computing skills for MLIS students, including HTML, programming in Python, and database concepts. Interview with Jillian Wallis
This is an online class that is taught asynchronously, meaning that participants do the work on their own time as their schedules allow. The class does not meet together at any particular times, although the instructor may set up optional sychronous chat sessions. Instruction includes readings and assignments in one-week segments. Class participation is in an online forum environment.
Please contact us to arrange a special session of this class for a group of seven or more, with a negotiable discount, or to be notified when it is next scheduled.