Data Management Planning entails developing processes for Data Organization, Storage, and Sharing. Many funding agencies require you to submit a formal Data Management Plan (DMP) with all grant applications. It is good practice to thoughtfully plan data management for all research projects, regardless of whether a DMP is required, because it improves time efficiency, supports transparency, and enhances research impact while providing public return on investments.
To assist you with data management planning, take our brief Data Management Self Evaluation, Write a DMP using DMPTool to comply with specific funder requirements, refer to our list of other resources, and contact us for consultation or assistance.
A Data Management Plan (DMP) document should be created prior to embarking on any new research project.
DMPs describe details on:
Data access, sharing, and re-use
The DMPTool is a free, online application that helps you create data management plans. The DMPTool walks you through each step to create a DMP using templates that comply with specific funder requirements. You can also save, export, and share your plans with collaborators, access CSHL-specific information, get guidance and specific CSHL instructions when drafting a plan, and request feedback from the CSHL Library staff.
CSHL researchers can view this CSHL DMPTool screencast on how to use DMPTools customized for CSHL functionality.
You can also use the following questions to guide the development of your own DMP:
DMPs are now required for many funding agencies including the National Institutes of Health (NIH), National Science Foundation (NSF), the Wellcome Trust, and the Bill and Melinda Gates Foundation.
NIH Data Management and Sharing Policy (Effective 2023)
Summary of the NIH Policy
NSF Data Management Plan Requirements
Summary of the NSF Requirements
Please contact us if you need assistance with data management planning!
General: libraryhelp@cshl.edu; X6872
OR visit us at the Carnegie Building (#21 on the CSHL map)
This brief Data Management Self Evaluation (pdf form below) is a good first step to help you consider your current data management habits, and identify actions you can take to enhance specific data management practices.