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Jun 22, 2011 ... application of satellite data for societal benefit. ... latency requirement will apply to ground site preliminary data for each .... YYY: four-digit year ...
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How to fill out data management plan

How to fill out data management plan?
01
Start by identifying the purpose and scope of your data management plan. Consider what data you will be collecting, how it will be organized, and what measures you will take to ensure its integrity and security.
02
Create a detailed description of your data management procedures, including data collection methods, documentation practices, and data storage and backup strategies. This should address how you will collect, store, and protect your data throughout its lifecycle.
03
Outline your data sharing and dissemination plan. Specify how you will make your data available to others, whether through open access repositories, restricted access agreements, or other means. Also, consider any licensing or intellectual property concerns related to your data.
04
Include a plan for data preservation and long-term access. Detail how you will ensure your data remains usable and accessible over time, including any plans for data format conversion or migration as technology evolves.
05
Develop a plan for data privacy and confidentiality. Address any ethical considerations, legal requirements, or privacy concerns associated with your data. Describe how you will protect sensitive or personal information from unauthorized access or disclosure.
06
Consider any funding or resource requirements for implementing and maintaining your data management plan. This may include budget considerations, necessary software or hardware, staff training, or external support.
07
Finally, review and revise your data management plan periodically to ensure it remains up to date and aligned with best practices in the field.
Who needs data management plan?
01
Researchers: A data management plan is essential for researchers who collect, generate, or analyze data as part of their work. It ensures the proper organization, documentation, and preservation of research data, promoting reproducibility and data sharing.
02
Grant Funding Agencies: Many funding agencies require researchers to submit a data management plan as part of their grant proposals. This helps ensure that the data generated with grant funding is properly managed and can be made available for future research.
03
Institutions and Organizations: Universities, research institutions, and other organizations often implement data management plans at an institutional level. This helps establish consistent practices and infrastructure for managing research data across various projects and disciplines.
04
Data Repositories: Data repositories and archives benefit from data management plans by ensuring that deposited data is properly documented, curated, and preserved. This facilitates data discoverability and reuse by the broader research community.
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What is data management plan?
A data management plan is a document that outlines how data will be collected, organized, stored, and shared throughout the course of a research project.
Who is required to file data management plan?
Researchers and organizations that receive funding from certain funding agencies or institutions may be required to submit a data management plan as part of their grant proposal or project requirements.
How to fill out data management plan?
To fill out a data management plan, you need to provide information on data collection methods, data storage and backup procedures, data sharing and dissemination plans, data security measures, and any ethical or legal considerations regarding data handling.
What is the purpose of data management plan?
The purpose of a data management plan is to ensure that data is properly managed throughout the research project lifecycle, promote transparency, maximize data sharing and reuse, and comply with funding agency or institution requirements.
What information must be reported on data management plan?
A data management plan typically includes information on data collection methods, data storage and backup procedures, data sharing and dissemination plans, data security measures, data documentation and metadata, data preservation and access provisions, and any ethical or legal considerations regarding data handling.
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