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Get the free Data Management Plan - Tennessee Valley Authority

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Cc: And Ray, TVA Barbara Scott, DEC Leo Francendese, EPA Mike Scott, TVA Dennis Yankee, TVA Kathryn Nash, TVA Cynthia Anderson, TVA John Moves, Jacobs EDM Julie Pfeffer, Jacobs David Stephenson, TVA
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How to fill out data management plan

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How to fill out data management plan:

01
Start by identifying the purpose of the data management plan. Determine whether it is for a research project, a business operation, or compliance with funding agency requirements.
02
Outline the scope of the plan by identifying the types of data that will be collected, the sources of data, and the timeframe for data collection.
03
Define the roles and responsibilities of the individuals involved in managing the data. This includes specifying who will be responsible for data collection, storage, backup, security, and sharing.
04
Describe the data collection methods that will be used, including any relevant protocols or standards. Specify how data will be recorded, organized, and annotated to ensure its usability and reproducibility.
05
Address data storage and backup procedures. Determine where the data will be stored, whether it is on local servers or cloud platforms, and how backups will be regularly performed to prevent data loss.
06
Ensure data security by implementing measures to protect against unauthorized access, data breaches, or data loss. This may involve encrypting sensitive data, using strong passwords, and regularly updating security software.
07
Establish data retention and disposal policies. Determine how long the data will be retained after the completion of the project or the termination of a business operation, and specify how it will be properly disposed of, considering any legal or ethical requirements.
08
Outline the data sharing and access provisions. Determine whether the data will be publicly available, shared only with specific individuals or organizations, or protected by intellectual property rights.
09
Develop a plan for data documentation and metadata. Describe how the data will be described, documented, and annotated to facilitate its discovery, interpretation, and reuse by other researchers or stakeholders.
10
Consider the ethical, legal, and regulatory aspects of data management. Ensure compliance with relevant data protection laws, institutional policies, and funding agency requirements.
11
Regularly review, update, and revise the data management plan as needed, especially when there are changes in the project, operation, or regulatory landscape.

Who needs data management plan:

01
Researchers conducting scientific studies involving data collection and analysis.
02
Academic institutions, including faculty members and research teams.
03
Organizations applying for government funding and grants, as funding agencies often require a data management plan.
04
Businesses and industries handling sensitive or proprietary data.
05
Government agencies and public institutions responsible for managing and storing data.
06
Data custodians or administrators responsible for ensuring the integrity, security, and accessibility of data.
07
Collaborative research projects involving multiple stakeholders who need to coordinate and align their data management practices.
08
Pioneers and innovators in emerging fields where standard practices for data management may not yet exist.
09
Any individual or organization that recognizes the value of systematic and responsible management of data to support decision-making, research, analysis, transparency, and accountability.
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A data management plan is a document that outlines how data will be collected, organized, stored, and shared during a research project.
Researchers and institutions receiving funding from certain funding agencies may be required to file a data management plan as part of their grant proposal or award.
The process of filling out a data management plan may vary depending on the specific requirements of the funding agency. However, it typically involves providing information on data collection, storage, sharing, preservation, and ethical considerations.
The purpose of a data management plan is to ensure that research data is effectively managed throughout its lifecycle, promoting data integrity, accessibility, and reusability.
The specific information to be reported on a data management plan depends on the funding agency's requirements. However, common elements include data collection methods, data documentation, storage and backup strategies, data sharing and access policies, and data preservation plans.
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