Depositing Data in Academic Commons

You can deposit your research results in Academic Commons, Columbia’s institutional repository, a service of the Libraries’ Center for Digital Research and Scholarship (CDRS).

Benefits of Depositing in Academic Commons

When you deposit data (and other materials) in Academic Commons, you receive:

  • a permanent URL
  • secure replicated storage (multiple copies of the data, including onsite and offsite storage)
  • accurate metadata
  • a globally accessible repository
  • the option for contextual linking between data and published research results

File Size Guidelines

Please make sure your individual files meet the following criteria:

  • You may deposit individual files of up to 10 GB in size at no charge. When depositing individual files larger than 100MB please contact CDRS for upload arrangements.
  • In support of the NSF requirements for data management and sharing plans, Academic Commons will also accept individual files of more than 10 GB, and up to 100 GB, for a one-time charge of $5 per GB, payable at the time of deposit.
  • Researchers expecting to preserve files larger than 100 GB should discuss their special needs with CDRS.

Backup Protocol

The following paragraph describes the process by which materials in Academic Commons are backed up. If you plan to use Academic Commons as the data repository for your proposed project, you can copy and paste this paragraph into your data management plan to help outline your plans for archiving and preservation of access.

Files deposited in Academic Commons are written to an Isilon storage system with two copies, one local to Columbia University and one in Syracuse, NY; a third copy is stored on tape at Indiana University. The local Isilon cluster stores the data in such a way that the data can survive the loss of any two disks or any one node of the cluster. Within two hours of the initial write, data replication to the Syracuse Isilon cluster commences. The Syracuse cluster employs the same protections as the local cluster, and both verify with a checksum procedure that data has not altered on write.

Learn More

For further information on data deposits, please see the Academic Commons data FAQ or contact Columbia's Research Data Manager.