How to Write an Effective Data Management Plan: What NIH Reviewers Want to See
The NIH requires Data Sharing Plans for all grants seeking “$500k or more in direct costs in any one year,” or as required by the solicitation.The data management plan is more than a component of your proposal; it is a blueprint for how you will actually manage the data during the course of your funded work. Therefore, creating an effective Data Management plan is an integral part of creating a winning proposal and getting the research money you need.
During this expert-led online training session, you will learn what counts as data, and understand exactly what the funding agency expects and requires for your Data Management Plan to be successful. Your expert presenter, Michael Lesiecki, PhD, will explain how you should think about managing your data before you begin your proposed research to insure usability, long-run preservation and access. During this training, you'll examine proven models and processes so you can improve your Data Management Plan and create the most competitive proposal possible.
By attending this online training session, you'll receive proven Data Management Plan writing tactics from an experienced industry leader, Michael Lesiecki, PhD. As well as his other accomplishments, Dr. Lesiecki has served as Principal Investigator on successful NIH and major NSF proposals, and as a reviewer for NSF and Department of Labor grant proposals.
Who Should Attend
Michael Lesiecki, PhD. has been the executive director of the Maricopa Advanced Technology Education Center (MATEC) since its inception in 1996. He received his Ph.D. in physical chemistry from Oregon State University and has served as an associate research professor at the University of Utah and as an associate professor of Chemical Physics at the University of Puerto Rico. Michael has published 27 technical articles and has received one patent. In industry he acted has the director of the BioScience Division of Candela Laser Corporation and worked as a research scientist at Exxon. Michael has served as Principal Investigator on successful NIH and major NSF proposals and serves as a reviewer for NSF and Department of Labor grant proposals.
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