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This document outlines the strategy for managing data collected during the BOLSTER project, including data governance, storage, ethical considerations, and compliance with GDPR and FAIR principles. It describes the types of data generated, their sensitive nature, and the protocols for data sharing and accessibility within the project.
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How to fill out data management plan

01
Identify the data you will collect: Define the types of data relevant to your project.
02
Describe data organization: Plan how you will organize and store data for easy access and retrieval.
03
Outline data storage: Specify where data will be stored (e.g., cloud storage, local servers).
04
Establish data sharing protocols: Define who can access the data and under what conditions.
05
Detail data preservation strategies: Describe how data will be preserved for future use, including backup procedures.
06
Address data security: Identify measures to protect sensitive data and ensure compliance with regulations.
07
Plan for data documentation: Decide how you will document data for clarity and ease of use.
08
Review and update: Regularly review the plan and update it as the project evolves.

Who needs data management plan?

01
Researchers managing data in academic or government projects.
02
Institutions that require compliance with funding agency guidelines.
03
Organizations that need to ensure responsible data stewardship.
04
Data managers who support teams in handling data management practices.
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A data management plan (DMP) is a document that outlines how data will be handled both during and after a research project. It includes details on data collection, organization, storage, and sharing.
Typically, researchers receiving funding from governmental agencies, academic institutions, or organizations may be required to file a data management plan. Specific requirements can vary by funder or institution.
To fill out a data management plan, researchers should identify the types of data they will collect, describe how the data will be organized and stored, outline who will have access to the data, and explain how and when the data will be shared or archived.
The purpose of a data management plan is to ensure that data is properly managed throughout the research lifecycle, to facilitate data sharing and reuse, and to comply with funding agency requirements.
A data management plan should report information such as the types of data to be collected, data formats, data storage methods, access and sharing policies, archiving strategies, and roles and responsibilities regarding data management.
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