Data Management Plan

Understanding and implementing effective data management practices is crucial for advancing research in clinical genomics. As part of SciLifeLab, the Clinical Genomics platform is committed to fostering best practices in data management to enhance research quality and integrity. Recognizing the comprehensive resources developed by SciLifeLab, we encourage our users to utilize the SciLifeLab Research Data Management Guidelines.

These guidelines offer detailed advice on data documentation, storage, sharing, and compliance with ethical standards, pivotal for advancing clinical genomics research.

Why Is Data Management Important?

Proper data management enhances research efficiency, ensures data quality, and facilitates data sharing. It encompasses planning, collecting, processing, analyzing, preserving, sharing, and reusing data.

Our Commitment

We prioritize secure and ethical data handling, aligning with global best practices to maximize the impact of our research.

SciLifeLab’s Guidelines

For detailed guidance on every aspect of research data management, including working with human data, understanding FAIR principles, and creating metadata, we recommend SciLifeLab’s Research Data Management Guidelines. This resource provides an extensive framework for managing life science research data, ensuring compliance with ethical standards, and enhancing data reusability.

Need Support?

If you have questions or need assistance in applying these guidelines to your research, SciLifeLab offers dedicated support. They will help you navigate the complexities of data management, ensuring your research meets the highest standards of integrity and innovation.