Approaching Resistance to Change in Research Data Management

Federal funding agencies now emphasize data sharing and re-use as part of the grant review process. However, difficulties in data sharing and re-use begin with basic data management practices. If data is not appropriately documented, organized, and readily available, then sharing cannot result in re-use. Appropriate data management may be a new expectation for many researchers, and as such, may require an individual to adopt, or invent, particular innovations. Many researchers do not know what is required to prepare their data, let alone how to incorporate more time-consuming tasks into their current workflows. Thus, researcher concerns regarding these new expectations needs to be assessed in order to provide appropriate educational interventions. This webinar will cover both work using the Concerns Based Adoption Method to identify specific researcher concerns and anecdotal experiences from working with researchers who are not yet comfortable with new data management practices.

Learning Outcomes
  • Explain how a tool or resource can be utilized within Research Data Management
  • Illustrate and discuss potential role(s) in which librarians or libraries can support Research Data Management
  • Facilitate the creation of RDM plans and programs

Presenter

Amanda Rinehart is a Data Management Librarian at the Ohio State University  Prior to becoming a librarian, Amanda spent eleven years as a biologist with the USDA, testing alternative agricultural methods to reduce the human impact on climate change. She also administers Ohio State’s DMPTool software, which helps researchers create high quality data management plans that meet funder requirements. Amanda received her MLIS from South Florida University, her MS in Botany and Plant Pathology from Michigan State University and her BA in Biology from Kenyon College.


MLA CE Credits:1