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MD IMAP DATA MANAGEMENT PLAN Version 1.0 My signature indicates approval of this Data Management Plan. Approved by: Geographic Information Officer Table of Contents EXECUTIVE SUMMARY ..................................................................................................................................
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How to fill out data management plan

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How to fill out a data management plan?

01
Start by identifying the purpose of your data management plan. Determine why you need to create this plan and what goals you hope to achieve with it.
02
List the types of data that will be collected or generated in your project. This can include raw data, processed data, metadata, and any other relevant information. Be as specific as possible in describing each type of data.
03
Define the data documentation and organization practices that will be used. This includes how data will be labeled, formatted, and stored. Consider using standardized formats and file naming conventions to ensure consistency and easy retrieval of information.
04
Determine how data will be collected, including the methods, tools, and instruments that will be utilized. Describe any protocols or procedures that need to be followed during data collection.
05
Outline any data quality assurance procedures that will be implemented. This can include validation checks, data cleaning processes, or peer review mechanisms. Address how you will ensure the accuracy, integrity, and reliability of the collected data.
06
Discuss the storage and backup strategies that will be employed. Specify where data will be stored, whether it is on local servers, cloud-based platforms, or external hard drives. Additionally, explain how often backups will be performed and how data will be secured.
07
Provide information on data sharing and access. Determine who will have access to the data, both during and after the project. Specify any restrictions, embargo periods, or licensing agreements that may apply.
08
Address potential ethical and legal considerations related to data management. Consider issues such as privacy, confidentiality, informed consent, intellectual property rights, and compliance with relevant regulations or policies.
09
Include any plans for long-term preservation and archiving of the data. Discuss the format in which data will be preserved, as well as any metadata or contextual information that should accompany the archived data.
10
Finally, establish a timeline for the implementation of your data management plan. Define specific milestones or checkpoints to ensure that the plan is being followed and updated accordingly.

Who needs a data management plan?

01
Researchers: Data management plans are crucial for researchers who need to organize, document, and preserve data generated during their projects. It ensures efficient data handling and helps meet funding agencies' requirements.
02
Funding agencies: Data management plans are often required by funding agencies as part of grant proposals. These agencies are interested in promoting good research practices, data sharing, and long-term data preservation.
03
Institutions: Universities, research organizations, and other institutions benefit from data management plans as they establish standards, policies, and guidelines for effective data management across different projects and departments.
04
Data stakeholders: People who rely on or have an interest in the data generated by a project, such as other researchers, policymakers, or the general public, can benefit from data management plans by ensuring data transparency, accessibility, and reusability.
In summary, a data management plan outlines the procedures and strategies for collecting, organizing, storing, sharing, and preserving data in a research project. It is essential for researchers, funding agencies, institutions, and data stakeholders to ensure efficient and responsible data management practices.
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A data management plan is a formal document that outlines how data will be handled during a research project, including how it will be collected, stored, analyzed, and shared.
Researchers who are conducting funded research projects are typically required to file a data management plan.
A data management plan can be filled out by detailing the data management procedures and practices that will be implemented throughout the research project.
The purpose of a data management plan is to ensure that data is handled in a responsible and ethical manner, and to promote data sharing and reuse.
Information that should be reported on a data management plan includes data collection methods, storage protocols, data sharing procedures, and data retention policies.
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