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This Data Management Plan outlines key data types, ethical compliance, storage, access policies, and responsibilities for effective data management in 2023.
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A data management plan (DMP) is a formal document that outlines how data will be collected, managed, stored, and shared during and after a research project. It serves to ensure proper data integrity, access, and long-term preservation.
Researchers and institutions receiving funding from certain government agencies or organizations, such as the National Science Foundation (NSF) or the National Institutes of Health (NIH), are typically required to file a data management plan.
To fill out a data management plan, researchers should identify the types of data to be collected, outline data storage and organization methods, specify access controls, outline sharing and dissemination strategies, and include plans for data preservation and management after the project ends.
The purpose of a data management plan is to provide a structured approach to managing research data, ensuring its quality and accessibility, complying with funding requirements, and facilitating data reuse and sharing.
A data management plan must report information including data types, formats, collection methods, metadata standards, data storage and backup, access policies, sharing and archiving strategies, and ethics or compliance considerations.
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