Data Management Plan
DMP Templates and Resources
National Science Foundation
- Template - NSF DMP template
- Checklist - NSF requirements checklist for DMP evaluation (suitable to use for most DMPs)
Department of Energy
- Template - DOE DMP guidance
- *DMP requirement vary depending on solicitation. In most cases, follow the NSF guidelines
- Template - NASA DMP guidance
With increased emphesis on Data Management Plans (DMP) and the ever-changing requirements, we have partnered with DMPTool. DMPtool is an online DMP management tool that will allow you to create, store, reuse, and share your DMPs. Additionally, up-to-date templates and other resources are availible for many sponsors. DMPTool is customized by CSM and access is granted using single-signon.
Link to DMPTool video
Example Data Management Plans:
Many Sample Plans
Longitiudinal Studies, Survey Data, Statistical Analysis
Model Output (large dataset)
PI's Working Indepedently
- Yale University (Sanguthevar DMP)
Question to ask yourself about the project:
Managing data before research begins and throughout its lifecycle is helpful in ensuring its usability and long-term preservation and access. This checklist is intended to help you plan, evaluate data needs and develop a strong Data Management Plan. Not all questions will apply to every project.
- What types of data will be produced? Will they be reproducible? What would happen if they were lost or became unusable later?
- How much data will there be and at what growth rate? How often will the data change?
- Who will use your data now, and later?
- Who in your research group controls the data (PI, student, lab, Mines, funder)?
- How long will the data be active?
- What directory and file naming convention will be used?
- What project and data identifiers will be assigned?
- What file formats are to be used? Are they long-lived?
- What is your data storage and backup strategy?
- When will you publish the data (research) and where?
- Who might be interested in your data in the future? Who will you share it with?
- Who in your research group will be responsible for data management and archiving?
- Have you identified a repository or archive in which to deposit your data?
- Is there an ontology or other community standard for data sharing/integration?
- How will you prepare the data (if necessary) for archiving?
- Are there good project and data documentation?
- How long should the data be retained ot archived (e.g. 3-5 years, 10-20 years, permanently)?
- Are there tools or software needed to create/process/visualize the data?
- Are there special privacy or security requirements (e.g. personal data, high-security data)?
- Are there sharing requirements (e.g. funder data sharing policy)?
- Are there other funder requirements (e.g. data management plan in proposal)?
- Are there regulations, copyright, or other licensing concerns related to sharing the data?
- Do the data need to be restricted or embargoed for intellectual property reasons?
- Are there any reasons to not allow re-use?