Delivering Research Data Management Services: Fundamentals of Good Practice by

Delivering Research Data Management Services: Fundamentals of Good Practice by

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Delivering Research Data Management Services: Fundamentals of Good Practice

Research data management is a critical component of the research process, ensuring that data is organized, documented, stored, and shared in a way that maximizes its value and longevity. For institutions and organizations looking to provide research data management services, there are some key fundamentals of good practice to keep in mind.

1. Data Management Planning: Encouraging researchers to develop data management plans at the outset of their projects can help ensure that data is collected, organized, and stored in a way that is consistent with best practices and funder requirements.

2. Data Documentation: Good documentation is essential for ensuring that data is understandable and reusable in the future. This includes detailed descriptions of data collection methods, data formats, and any transformations or processing that has been applied to the data.

3. Data Security: Ensuring that data is stored securely is essential for protecting sensitive or confidential information. This may include encryption, access controls, and regular backups.

4. Data Sharing: Encouraging researchers to share their data openly can help facilitate collaboration and increase the impact of their research. Providing guidance on data sharing platforms and best practices can help researchers make their data available to others.

5. Data Preservation: Ensuring that data is preserved in a way that ensures its long-term accessibility and usability is essential for the reproducibility of research results. This may include selecting appropriate storage formats and ensuring that data is regularly migrated to new storage systems as needed.

By following these fundamentals of good practice, institutions and organizations can help ensure that researchers have the support they need to effectively manage their research data and maximize its value.
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