When archiving your research data in Yareta, please consider:
Do you have a strategy to identify and prioritize data to archive while deleting files that are of little or no relevance?
Data retention and deletion practices should be a key part of your data archive strategy in order to avoid needless costs incurred by archiving all of your data on high-performance storage platforms like Yareta. Data that has no reuse potential, and that is not necessary to document and validate your research findings nor for the reproducibility of your research, but that remains essential for legal or compliance reasons, can be archived on lower-cost, higher-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.