Research Data Management (RDM)

A Data Management Plan (DMP) is an essential document that outlines how research data will be handled during and after a research project. It details how data will be collected, organized, stored, shared, and preserved. Most funding agencies require a DMP as part of the grant application process, making it necessary for research compliance. Without a solid DMP, you risk losing funding opportunities or failing to meet the expectations of funders like the National Science Foundation (NSF), National Institutes of Health (NIH), National Endowment for the Humanities (NEH), the Institute of Museum and Library Services (IMLS), and the Department of Energy (DOE).

At Sacramento State, researchers have access to the DMPTool, a free, online platform that provides templates and guidance specifically designed to meet funder requirements. The Sacramento State Library also offers a DMP review service to help researchers ensure their plans are thorough, compliant, and aligned with best practices for managing research data.

While developing a DMP, think of ways to avoid introducing bias during data collection and management. Researchers should ensure that data collection methods are culturally sensitive, representative of all relevant populations, and designed to minimize systematic errors. This includes using inclusive sampling strategies, transparent documentation, and ethical sharing practices. 

By leveraging the DMPTool and the library's review services, you can ensure that your data management plan not only meets grant requirements but also supports the integrity, accessibility, and long-term usability of your data.

Data Types and Collection Methods
Description of the types of data collected or generated (e.g., qualitative, quantitative, experimental, observational)
Methods for data collection or generation

Documentation and Metadata
How data will be described and documented
Metadata standards used to make data understandable and searchable

Data Storage and Security
Plans for data storage during the project (e.g., institutional storage, cloud storage)
Security measures to protect sensitive or confidential data

Data Sharing and Access
When and how data will be shared
Licensing or restrictions on data sharing (e.g., ethical, legal, or commercial constraints)
Data repositories where data will be deposited

Data Preservation
Long-term preservation plans, including the formats and repositories for data storage
Duration for which data will be preserved

Responsibilities and Resources
Designation of roles and responsibilities for data management within the research team
Resources and support (e.g., funding for data management, software, tools)

Typical Length of a DMP:
1 to 2 pages
Short and concise, focusing on key aspects of data management relevant to the project and funder requirements.