DataShare accepts all forms of research data including tabular data (i.e. spreadsheets), source-code, images, videos, etc. as long as it meets the following criteria:
Additional constraints, such as size and volume, may also prevent materials from being deposited or shared through DataShare. Please contact our staff if you have questions or would like to verify that DataShare is the right place for your data.
There are three main reasons to use Datashare:
There is currently no cost to deposit data with DataShare. As usages grows and technology changes, different cost models may be introduced to support new services.
As all data published on DataShare is open access there is no fee to access or download the data.
Before including DataShare in your data management plan (DMP) please contact the University Library.
DataShare can handle many different file types and formats but not all data can or should be shared on the DataShare platform. The library can provide template language describing DataShare for your proposal if it is determined that your data can be deposited into DataShare system.
Please include the following information when inquiring about including DataShare in your DMP:
DataShare has no storage limits on individuals or projects. However, DataShare is not a platform for hosting and distributing "big data" and all data uploaded to DataShare must be published (i.e. publicly accessible) otherwise it will be purged.
All DataShare accounts start with a storage quota of zero (0). After review and approval accounts are granted access to additional storage.
If you have a large or complex dataset made up of multiple folders and files please contact our staff to discuss the best way to organize and upload it .
When a submission is in review it means it is awaiting Curation Review by a librarian. During Curation Review librarians check that the:
Reviews usually occur within a day or two of the submission. If your submission is not reviewed in a timely matter please contact email@example.com.
Materials in DataShare are monitored and preserved at the bit-level. Bit-level preservation ensures that files stay intact. More advanced preservation techniques such as reformatting and migration, are not offered at this time. For this reason we encourage all deposits to be made in nonproprietary and/or ubiquitous formats whenever possible.
More about bit-level preservation: DataShare's data is stored on Amazon AWS S3 (Simple Storage Solution) infrastructure. S3 is designed for 99.999999999% durability (i.e. file integrity) and keeps redundant copies in case the primary fails. Additionally each file is given an MD5 checksum when uploaded. File integrity is regularly checked against the checksum to make sure the file is intact.