The Brown Digital Repository (BDR) is intended to make accessible and preserve digital objects of enduring value to the scholarly mission of Brown University.
The following file formats will be recognized by the BDR and made accessible via the web in their native format:
Any other file types will be recognized as generic data and will be stored as a raw bitstream. They will still be subject to data integrity checks, access controls, and most other data curation services.
Please contact Library staff (firstname.lastname@example.org) to request adding support for new file types.
Over time, some file formats may need to be migrated to more modern formats to remain viable, while others may have no modern equivalent. Likewise, changes to database technology, storage standards, and other future technological developments may require different approaches to repository services.
In the event that Library staff need to modify, migrate, or otherwise change the state of deposited items, the Library will notify the depositor prior to any changes. Every effort will be made to retain pre-migration data unless the depositor chooses to withdraw the items from the repository.
Objects added to the digital repository will be subject to review by Library staff to ensure data integrity, metadata standards compliance, and system security. Changes to objects uploaded to personal collections will be made in consultation with the depositor.
The BDR is intended to support research and scholarship at Brown. It is not intended to provide storage for personal materials unless they have a bearing on work being done at the University. Examples of appropriate materials include:
For help digitizing materials, contact Digital Production Services.
As of May 2012, the BDR is open to submissions by all faculty. Student work may be included in the BDR as part of faculty or administrative projects.
Guidelines for faculty publications are forthcoming.
Individuals have a 4GB limit when uploading personal collections. Users requiring more space should contact the Library (email@example.com) to discuss support for larger data sets.