MGM labs have many options for storage of research data and results. These include current offerings from Duke OIT and Duke SOM OASIS. Some options have been aggregated below based on purpose by the MGM Research Quality Management Team.
- For small files
- Lab archives electronic notebook. Unlimited storage. 15GB individual file limit: https://mynotebook.labarchives.com/login
- Duke Box for cloud-based file sharing and collaboration. 50GB limit: https://box.duke.edu/
- SOM PACE (Protected Access Computing Environment) for PHI and required for some sensitive data: https://medschool.duke.edu/pace
- For large datasets
- SOM NAS (network attached storage). Cannot be mounted onto DCC. OASIS Computing Analyst, such as Eric Xu, can create and increase partition size.
- SOM Research Computing Center (SRCC) for high-performance computing. 10/30/70 TB quota per project with variable pricing. Deleted after 60 days if not accessed: https://medschool.duke.edu/research/research-support/research-support-offices/oasis/oasis-services/oasis-rts/research-0
- OIT NAS. Can be mounted onto DCC. Cost based on speed, storage size, and whether backed up: https://oit.duke.edu/service/centralized-storage/
- OIT Duke Compute Cluster (DCC) for high-performance computing: https://oit.duke.edu/service/research-computing/
- OIT Data Commons for archival storage attached to DCC at reduced cost: https://oit.duke.edu/service/research-computing/
- OIT Data Attic. Currently undergoing 2TB beta; accessed through Globus.
- Note, that OIT resources can be managed and scaled up and down through self-service up to 10TB: https://rtoolkits.web.duke.edu/
- For when you are ready to publish
- Code: Github (https://github.com/) or with non-data type specific repository
- NIH data-type specific repositories (GEO, dbGAP, etc…)
- Non-data type specific repositories
- Duke Data Repository. 300 GB limit/dataset, at least 25 years: https://research.repository.duke.edu/
- Mendeley Data. 10 GB limit/dataset, in perpetuity, can grant access to reviewers prior to publication: https://data.mendeley.com/