Identify the data to be collected

(type, sources, volum, data and file format)

Define how the data will be organized

(file name, version control, software...)

Explain how the data will be documented

(standards and metadata schema, tools to manage)

Describe how data quality will be assured

Present a sound data storage and preservation strategy

(during the research and preservation in a repository)

Define the project's data policy

(questions about intellectual property rights and sensitive data)

Describe how the data will be disseminated

(where, wich and when)

Assign roles and responsabilities

(to individual and organization associated with the project)

Prepare a realistic budget

(data management takes time and costs in terms of software, hardware, services and personal)