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The SMART4ALL Data Management Plan (DMP) outlines the management, storage, and sharing strategies for data generated through the SMART4ALL project. It describes how data will be treated in accordance with FAIR principles (findable, accessible, interoperable, reusable) and ensures compliance with Horizon 2020 regulations. The DMP will be updated regularly, with snapshots taken as deliverables throughout the project\'s duration.
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How to fill out data management plan

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How to fill out data management plan

01
Identify the types of data that will be collected during the project.
02
Determine the storage methods for the data, ensuring they are secure and accessible.
03
Outline the data organization structure to facilitate easy access and retrieval.
04
Specify data documentation processes, including how data will be described and shared.
05
Include plans for data sharing, addressing any restrictions or licenses.
06
Describe the processes for data preservation, including formats and long-term storage solutions.
07
Assign responsibilities for data management activities to team members.
08
Establish a timeline for data management activities throughout the project.

Who needs data management plan?

01
Researchers and scientists working on funded projects.
02
Academic institutions requiring compliance with funding agency policies.
03
Organizations involved in data-intensive research.
04
Project managers overseeing multi-disciplinary collaborations.
05
Anyone preparing grant applications that require a data management plan.
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A data management plan (DMP) is a document that outlines how data will be collected, organized, stored, and shared during and after a research project.
Typically, researchers applying for funding from grant agencies or those conducting institutional research projects are required to file a data management plan.
To fill out a data management plan, you should identify the types of data you will collect, describe your storage and backup procedures, outline how the data will be shared and preserved, and address issues related to privacy and confidentiality.
The purpose of a data management plan is to ensure that research data is handled responsibly, promoting accessibility, preservation, and efficient use of data in compliance with legal and ethical standards.
A data management plan typically must report information about data types and formats, data storage and sharing procedures, metadata standards, roles and responsibilities for data management, and plans for data preservation.
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