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Storage Overview

Where Should I Store My Data?

  1. Data undergoing active analyses should be stored in HPC's local High Performance Storage.
  2. Large amounts of data not requiring immediate access from our HPC compute nodes can be stored at reasonable rates on our Rental Storage.
  3. RDAS is a research data service which supports the mounting of SMB shares. The supported operating systems are MacOS, Linux, and Windows. It provides 5 TB of free storage.
  4. Research data not requiring immediate access should be stored in General Research Data Storage (Tier 2). For example:
    1. Large datasets where only subsets are actively being analyzed.
    2. Results no longer requiring immediate access.
    3. Backups (highly encouraged!).
  5. Data that require HIPAA-compliance can be stored on Soteria (currently in the pilot phase).

graph LR
  A[My data are...] --> B{Controlled?}
  B-->|Yes| C{HIPAA?};
  C-->|Yes| D[<a href="../../../resources/secure_hpc/">Soteria</a>];
  C-->|No| E[Unsupported];
  B-->|No| F{Archival?}
  F-->|Yes| G[<a href="../../storage/tier2_storage/">AWS Tier 2<br>Storage</a>]
  F-->|No| H{Need<br>HPC<br>compute?}
  H-->|Yes| I{Under<br>20 TB?}
  I-->|Yes| J[<a href="../../storage/hpc_storage/">HPC Storage</a>]
  I-->|No| K[<a href="../../storage/rental_storage/">Rental Storage</a>]
  H-->|No| L{Under<br>5 TB?}
  L-->|No| K
  L-->|Yes| M[<a href="../../storage/rdas_storage/">R-DAS Storage</a>]

Storage Option Summary

Purpose Capacity Cost Restricted Data Access Duration Backup
Primary HPC Storage Research data. Supports compute. Directly attached to HPC /home: 50 GB
/groups: 500 GB
/xdisk: 20 TB
Free Directly mounted on HPC. Also uses Globus and DTNs. Long term. Aligns with HPC purchase cycle. No
R-DAS Research Desktop Attached Storage - SMB shares 5 TB Free Mounted to workstations as shares Long term No
Rental Storage Research data. Large datasets. Typically for staging to HPC Rented per TB per year $47.35 per TB per year Uses Globus and DTNs. Copy data to Primary Long term. Aligns with HPC purchase cycle No
Tier 2 Typically research data. Unused data is archived 15 GB to TBs Tier-based system. First 1 TB of active data and archival data are free. Active data > 1 TB is paid. Uses Globus and AWS command line interface Typically long term since use of Glacier is free and slow Archival
ReData Research data. Managed by UArizona Libraries Quota system Free Log in and fill out fields, then upload Longer than 10 years No
Soteria HIPAA Secure data enclave Individual requests Free upon qualification Restricted data; HIPAA, ePHI HIPAA training required, followed by request process Long term No
Box General Data 50 GB Free Browser Long term Cloud
Google Drive General data 15 GB Free. Google rates for amounts > 15 GB Browser Unlimited usage expires March 1, 2023 Cloud

NIH Data Management and Sharing Policy

The NIH has issued a new data management and sharing policy, effective January 25, 2023. The University Libraries now offers a comprehensive guide for how to navigate these policies and what they mean for you.

What's new about the 2023 NIH Data Management and Sharing Policy?

Previously, the NIH only required grants with $500,000 per year or more in direct costs to provide a brief explanation of how and when data resulting from the grant would be shared.

The 2023 policy is entirely new. Beginning in 2023, ALL grant applications or renewals that generate Scientific Data must now include a robust and detailed plan for how you will manage and share data during the entire funded period. This includes information on data storage, access policies/procedures, preservation, metadata standards, distribution approaches, and more. You must provide this information in a data management and sharing plan (DMSP). The DMSP is similar to what other funders call a data management plan (DMP).

The DMSP will be assessed by NIH Program Staff (though peer reviewers will be able to comment on the proposed data management budget). The Institute, Center, or Office (ICO)-approved plan becomes a Term and Condition of the Notice of Award.