Data Management   Tags: data management, data management plan, dmp, national science foundation, nih, nsf  

This guide will provide information about creating DMPs as well as groups and services on campus that can assist with your data management needs.

Please contact me if you need help with:

• Data Management Best Practices
• Metadata Schema Generation
• Data Curation / Archiving Workflow
• Data Sharing Resources

This researcher populated template serves as an aid for researchers in fulfilling the data management plan (DMP) requirement mandated by funding bodies. The researcher drops their information into the template and answers a variety of questions.  There are examples, guidance and suggestions that assist the researcher in decision making and DMP writing.  The result will be a working, customizable data management plan emailed to the researcher.

DMP Template

Additional information about creating Data Management Plans at UH

There are no uniform standards and requirements for DMPs to date, but some of the key elements are highlighted below.

• Data Types The type, format, and volume of data generated by a project will impact all other areas of the plan.

• Standards Are there any relevant data standards for the field? Metadata that will be associated with the data should also conform to a standard.

• Access How the data will be made available for secondary and/or public use. May also include a discussion of the impact on the field and broader society and recommendations for reuse of the data. 

• Privacy, Confidentiality, Security, Intellectual Property Does the data need to remain private and/or confidential? How will this be securely managed? These considerations are vital to research on human subjects, and important for IRB approval. What sort of intellectual property rights will be attached to the data?

• Preservation Plans for securely preserving the data in usable forms. Should also include the name of the researcher or unit responsible for maintaing the data and financial requirements for making the data available beyond the scope of the funded project.