# Example DMSP Plan Information ## Abstract The purpose of the example Data Management Plan (DMP) subgroup is to provide a directory of existing DMPs and craft a mockup Data Management and Sharing Plan (DMSP) that meets the criteria of the 2023 NIH policy. The mock DMSP was adapted from the resource sharing plan of a recently funded R21 grant which involved diverse data streams including human subjects records, proteomics, and metabolomics. The mock DMSP is accompanied by annotations that outline the conversion process. The example DMP directory was compiled from researchers, institutions, libraries and workgroups who shared their work online from 2012-2022. We attempted to provide representation from all disciplines affected by the policy, though not every discipline publishes DMPs. This directory is intended to help researchers comply with the new NIH policy and will not be updated after publishing. We have annotated these examples with metadata including funding agency and keywords, to make the directory easier to navigate. These two resources can be used by librarians, administrators, or researchers who would like to review DMPs from a particular scientific field or data type, or simply to brainstorm ideas while writing a DMP. ### Participants * Lena Bohman, Zucker School of Medicine at Hofstra/Northwell and Northwell Health, lena.g.bohman@hofstra.edu * Marla Hertz, University of Alabama at Birmingham, mihertz@uab.edu * Daria Orlowska, Western Michigan University, daria.orlowska@wmich.edu ## Website https://example-dms-plans.github.io/examples/ - Searchable webpage version of cataloged example DMPs ## Contents 1. [Example_DMSP_Metadata.xlsx](https://osf.io/5q4ux) - spreadsheet of example DMP metadata cataloged by our group 2. [2022-08-31_ExampleDMSP_annotated.pdf](https://osf.io/euaty) - example DMSP compatible with NIH 2023 policy written by our group, with tips for writing ## Recommended Citation Bohman, L., Hertz, M., & Orlowska, D. (2022). *Example DMS plans*. Working Group on NIH DMSP Guidance. https://doi.org/10.17605/OSF.IO/UADXR