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• anticipate all the steps and resources needed to ensure the quality of the research data produced

• increase your efficiency and effectiveness

• comply with the requirements of funders

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• limit the risks of data loss

• increase the transparency of your data and of their analysis processes, making it easier to detect errors or changes

• establish common practices for your entire project team

• limit access to your data to authorised persons only

• limit the risk of loss or destruction of your data

• increase your data's security

• ensure a return on your investment of time and resources

• make your contribution to research sustainable and easy to reuse by yourself and others

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