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- never duplicate files, especially when working with large datasets. Proper use of the mass storage infrastructure already ensures that files are securely stored and backed-up.
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- use hard or soft links when they need to access files from another location
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- avoid keeping intermediate files from analysis pipelines. During the analysis, these files should ideally be generated on the computer used for the analysis or on the scratch disk if using the GIGA HPC-cluster (see [cluster-scratch](work-in-progress)). These files should then be deleted once the analysis is finished. If for any reason, these files need to be kept, users should make them easily distinguishable by storing them into specific directories for intermediate results. These intermediate files should then be deleted as soon as they are not needed anymore.
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- use [compression tools](mass-storage/mass-storage-archive-creation#how-to-compress-your-files) whenever possible.
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- [regroup](mass-storage/mass-storage-archive-creation#how-to-compress-your-files) numerous small files in zip/rar/tar/dar archives.
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- use [compression tools](mass-storage/mass-storage-compression) whenever possible.
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- [regroup](mass-storage/mass-storage-archive-compression) numerous small files in zip/rar/tar/dar archives.
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Moreover, all users should go through their folders on a regular basis and remove what is no longer needed. This should be done at least quarterly.
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