About Data Depot
Frequently asked questions about Data Depot.
Can you remove me from the Data Depot mailing list?
Your subscription in the Data Depot mailing list is tied to your account on Data Depot. If you are no longer using your account on Data Depot, your account can be deleted from the My Accounts page. Hover over the resource you wish to remove yourself from and click the red 'X' button. Your account and mailing list subscription will be removed overnight. Be sure to make a copy of any data you wish to keep first.
What sort of performance should I expect to and from the Data Depot?
Access type | Large file, reading | Large file, writing | Many small files, reading | Many small files, writing |
---|---|---|---|---|
CIFS access, single client (GigE) | 102.1 MB/sec | 71.64 MB/sec | 12.43 MB/sec | 11.57 MB/sec |
Is the Data Depot just a file server?
The Data Depot is a suite of file service tools, specifically targeted at the needs of an academic research lab. More than just the file service infrastructure and hardware, the Data Depot also encompasses self-service access management, permissions control, and file sharing with Globus.
Do I need to do anything to my firewall to access Data Depot?
No firewall changes are needed to access Data Depot. However, to access data through Network Drives (i.e., CIFS, "Z: Drive"), you must be on a Purdue campus network or connected through VPN.
What is the best way to mount Data Depot in my lab?
You can mount your Data Depot space via Network Drives / CIFS using your Purdue Career Account. NFS access may also be possible depending on your lab's environment. If you require NFS access, contact support.
How do Data Depot, Fortress, and PURR relate to each other?
The Data Depot, Fortress, and PURR, are complementary parts of Purdue's infrastructure for working with research data. The Data Depot is designed for large, actively-used, persistent research data; Fortress is intended for long-term, archival storage of data and results; and PURR is for management, curation, and long-term preservation of research data.