Good practices


When archiving your research data in Yareta, please consider:

  •  What is your approach to determining which data to archive and which to delete
    A sound data archiving strategy requires careful consideration of what data to retain and what to discard. Archiving all your data on high-performance platforms like Yareta can result in unnecessary costs. It's crucial to distinguish between data that has no future use but must be kept for legal or compliance reasons, and data that is essential for documenting your research findings and enabling reproducibility. Such data that is not critical for these purposes can be stored on lower-cost, high-capacity storage systems such as tape drives."

  • Do you have the necessary permissions to preserve and share your data?
    Make sure all potential ethical, copyright and Intellectual Property Rights issues are identified, and the corresponding data management measures applied (anonymization, consents, agreements, etc.) before archiving research data.

  • Do you provide enough documentation and metadata with your data?
    Provide all types of documentation (README files, rich metadata, etc.) necessary to help users to find, understand and reuse your data.

  • Who should be granted access to your Organizational Unit and data archives?
    Carefully regulate licenses and access rights/permissions to ensure the security of your data.

  • How do you make sure those who attempt access have actually been granted that access?
    Thoroughly monitor notifications in your preservation space. 

  • Under which circumstances would you deny access to a user?
    Consider the conditions under which your data will be made available to those who request access.