Data Management Plan Writing Ready Reference

Table of Contents 2 Writing Data Management Plans Checklist 4 Table 1. Open Formats That Are Not Proprietary 7 Table 2. Closed Data Formats 8 Major Federal Funders and Other Granting Programs 9 Data Repositories 10 Good and Bad Examples from DMPs 12 Links to Other Resources Description: Demand for data management plan consultants is growing as more granting agencies add this requirement. Most presentations concerning data management do not provide practical advice on how to consult with researchers writing a data management plan for grant submission. This course teaches participants about the elements of a successful data management plan, and provides practice critiquing data management plans in a supportive learning environment where no grant funding is at stake. Join two experienced data management plan consultants with experience in liaison librarianship and information technology as they demonstrate how all librarians have the ability to successfully consult on data management plan. Each week will include assigned readings, a written lecture, discussion questions, weekly assignments, and live chats with the instructors. Participants will examine how data and metadata are defined, open data formats, dark archives, and secure repositories as well as addressing specialty concerns such as how securely preserve information related to at risk populations, etc. Selection of effective long term data preservation and sharing strategies will also be examined. Lastly, participants will evaluate sample data management plans from the sciences, social sciences, and the arts and humanities as a final project for the course. Critiques of each plan will be presented to the class during the final chat session at the end of the course. Learning Outcomes: List specific data depository resources in order to formulate recommendations for researchers to securely deposit and share their data. Learn about how different funding agencies, and departments within those agencies, have different requirements for data management plans in order to determine how to effectively advise each researcher according to the requirements for their specific plan. Analyze sample data management plans in order to develop an understanding of what constitutes a thorough data management plan