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Data Management Plans for NEH Office of Digital Humanities Proposals and Awards1 Executive Summary The data management plan (DMP) should be short (no more than two pages) and will be submitted as a

How to fill out data management plans for

How to fill out data management plans for:

1. Start by identifying the purpose of the data management plan (DMP) and the specific requirements or guidelines provided by the funding agency, institution, or organization. This will help guide your approach and ensure compliance with the necessary regulations.
2. Begin by clearly defining the data you will be collecting, generating, or using in your project. This includes specifying the types of data, formats, sources, and any sensitive or personally identifiable information that needs to be protected.
3. Outline the data management practices you will employ throughout the lifecycle of the project. This may include data collection methodologies, storage and backup strategies, data security measures, and data sharing or preservation plans. Consider factors such as data documentation, metadata standards, file naming conventions, and version control.
4. Describe how you will ensure data quality and integrity. This could involve data validation procedures, data cleaning and preprocessing methods, and strategies for addressing missing or erroneous data.
5. Address any ethical considerations related to the data. This includes obtaining informed consent from participants, protecting privacy, and ensuring compliance with relevant research ethics guidelines or regulations.
6. Identify the roles and responsibilities of individuals involved in data management activities. Specify who will be responsible for data collection, storage, analysis, backup, and sharing. This helps ensure accountability and clarity throughout the project.
7. Detail your plans for data documentation and metadata. Specify how you will document variables, data collection instruments, coding schemes, and any other relevant information that will help make the data understandable and reusable in the future.
8. Discuss your data sharing and dissemination strategies. Consider whether you plan to make the data openly available, embargo it for a certain period, or restrict access due to sensitive or proprietary information. If data sharing is a requirement, outline the platforms, repositories, or data archives you intend to use.
9. Outline your data preservation plans. This includes specifying how long the data will be retained, whether it will be transferred to a long-term preservation facility, and any procedures for data migration or format conversion that may be necessary.
10. Finally, consider potential risks, challenges, or limitations associated with your data management plan. Address any issues or uncertainties and propose mitigation strategies or alternative approaches when necessary.

Who needs data management plans for:

1. Researchers and scientists who are applying for funding from grant agencies or organizations often require data management plans as part of the application process. This ensures that the research project will adhere to sound data management practices and meet the expectations of funding agencies.
2. Academic institutions often have their own policies and guidelines that mandate the development of data management plans for research projects. This is especially important for projects involving human subjects, sensitive data, or those that require long-term data preservation.
3. Companies and organizations that engage in research or collect and analyze data for various purposes may also benefit from having data management plans in place. These plans can help ensure efficient and secure data handling, prevent data loss or corruption, and facilitate data reuse or sharing within the organization.

In summary, filling out data management plans involves considering various aspects of data collection, storage, security, documentation, sharing, and preservation. Researchers, scientists, academic institutions, and organizations engaged in research or data-intensive activities should develop data management plans to ensure compliance with regulations, funding requirements, ethical guidelines, and to facilitate efficient and effective data management throughout the project lifecycle.

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What is data management plans for?

Data management plans are used to outline how research data will be collected, organized, stored, and shared during and after a research project.

Who is required to file data management plans for?

Researchers who receive funding from certain grant agencies or institutions may be required to file data management plans.

How to fill out data management plans for?

Data management plans can be filled out by detailing the methods for data collection, organization, storage, and sharing, as well as addressing any ethical or privacy considerations.

What is the purpose of data management plans for?

The purpose of data management plans is to ensure that research data is handled responsibly, ethically, and in compliance with any relevant regulations or policies.

What information must be reported on data management plans for?

Data management plans typically include information on data collection methods, storage locations, sharing protocols, and any data security measures.