Abstract
An Exploratory Sequential Mixed Methods Approach to Understanding Researchers’ Data Management Practices at UVM: Integrated Findings to Develop Research Data Services
Highlights
In 2014, the Association for College and Research Libraries (ACRL) Research Planning and Review Committee published its biennial review of the top trends in academic libraries
Research data management (RDM) is defined as, “the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results” (Whyte and Tedds 2011, 1), and borrowing from Tenopir et al (2015), “refers to the broad suite of services or processes involving data, including services that assist with data management planning, finding repositories for both accessing and depositing data, metadata description, and preservation” (3)
Qualitative interview participants were drawn from fields connected to the NSF Directorates or disciplinary areas that support science and engineering research: Biological Sciences; Computer & Information Science & Engineering; Education & Human Resources; Engineering; Geosciences; Mathematical & Physical Sciences; and Social, Behavioral & Economic Sciences (National Science Foundation 2017)
Summary
In 2014, the Association for College and Research Libraries (ACRL) Research Planning and Review Committee published its biennial review of the top trends in academic libraries. RDM has become a topic of scholarly interest for academic libraries, with numerous published studies looking at researchers’ current data management practices (Table 1) To date, these studies clearly align with either qualitative research methods, including interviews, focus groups, and document analyses, or quantitative research methods, in the form of a survey or questionnaire. These studies clearly align with either qualitative research methods, including interviews, focus groups, and document analyses, or quantitative research methods, in the form of a survey or questionnaire The majority of these studies were conducted prior to government mandates requiring grant applicants to account for the sharing and long-term preservation of data, a key stimulus for academic libraries to address RDM (Fearon et al 2013)
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call