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The purpose of this document is to describe and agree structures and procedures for the management of data produced by the EU-CONEXUS Research for Society (RFS) project. This DMP covers the complete
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How to fill out data management plan

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How to fill out data management plan

01
Start with an overview of the project and its goals.
02
Identify the types of data you will collect and their sources.
03
Describe how the data will be organized, stored, and maintained.
04
Outline the methods for data sharing and dissemination.
05
Specify how data privacy and security will be ensured.
06
Discuss the long-term preservation of the data.
07
Plan for any metadata that will accompany the data.
08
Assign roles and responsibilities for data management activities.
09
Include a timeline for data management tasks.

Who needs data management plan?

01
Researchers conducting projects that involve data collection.
02
Grant applicants submitting proposals to funding agencies.
03
Academic institutions that require data management plans for compliance.
04
Organizations that are mandated to ensure data security and integrity.
05
Collaborators needing to understand data sharing protocols.
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A data management plan (DMP) is a formal document that outlines the processes and strategies for managing, storing, and sharing data throughout a research project.
Typically, researchers applying for funding from government agencies, institutions, or organizations may be required to file a data management plan as part of their proposal.
To fill out a data management plan, researchers should gather information about their data collection methods, storage solutions, sharing policies, data preservation strategies, and relevant timelines, then compile this information into the required sections of the DMP template provided by the funding agency or institution.
The purpose of a data management plan is to ensure that data is handled properly throughout its lifecycle, to enhance data sharing and reuse, to comply with funder and institutional policies, and to promote transparency and integrity in research.
A data management plan must report information including data types and format, storage solutions, data sharing and access policies, roles and responsibilities for data management, plans for data preservation and archiving, and any ethical considerations related to the data.
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