Research Data Management

A data management plan (DMP) is a document that describes the data that will be collected throughout a project, and how the data will be organized, stored, and shared. There are 5 components of any data management plan:

• Types of data that will be produced or collected
• Data and metadata standards
• Policies for access and sharing
• Policies for re-use and distribution
• Plans for archiving and preservation

A data management plan (DMP) will:

• define the steps you need to manage your data
• strengthen your research ethics application
• ensure you follow funder and journal requirements
• clarify what you need for longer-term data management
• give your data a longer lifespan and strengthen your research process

Source: University of Alberta Libraries Research Data.

Portage DMP Exemplars

• Digital Humanities: Data Management Plan for Women’s Print History Project (1750-1830)
• Digital Humanities and secondary data: Data Management Plan for Historical Canadian Census Data
• Mixed methods: Data Management Plan for Mixed Methods Fictional Exemplar
• Natural Sciences: Data Management Plan for Ecohydrology Research Group
• Social Sciences: Data Management Plan for People, Places, Policies and Prospects: Affordable Rental Housing for Those in Greatest Need

DataOne Example Data Management Plans

• NSF General: Mauna Loa example
• NSF General: Rio Grande example
• NSF General: HDF Map example
• NSF General: Nutrient Network example
• NSF BIO: E. afffinis example

Digital Curation Centre Example Data Management Plans

• Language studies technical plan  
• Religious studies technical plan 
• Two social science DMPs
• Psychology DMP
• Z-proso DMP
• Example poor DMP with pointers