This tool helps you to create, review, and share data management plans that meet institutional and funder
requirements. Join the growing number of researchers that have adopted eiNa DMP:
2185
USERS
1325
PLANS
39
ORGANISATIONS
10 simple rules for creating a good data management plan
1
Determine the research sponsor requirements
2
Identify the data to be collected
(type, sources, volum, data and file format)
3
Define how the data will be organized
(file name, version control, software...)
4
Explain how the data will be documented
(standards and metadata schema, tools to manage)
5
Describe how data quality will be assured
6
Present a sound data storage and preservation strategy
(during the research and preservation in a repository)
7
Define the project's data policy
(questions about intellectual property rights and sensitive data)
8
Describe how the data will be disseminated
(where, wich and when)
9
Assign roles and responsabilities
(to individual and organization associated with the project)
10
Prepare a realistic budget
(data management takes time and costs in terms of software, hardware, services and personal)
You can download funder templates without logging in, but from this tool you will find tailored guidance from these
organizations. Why not sign up for an account and try it out?