UWinnipeg Borealis is designed to share and publish research generated through the course of a UWinnipeg-affiliated research project to allow these data to be used for future research purposes.
Although you may have created many datasets and files over the course of a research project, it's a good idea to share:
Before depositing in UWinnipeg Borealis, depositors must make sure their dataset(s) meet the following standards:
1. Use consistent and comprehensible file names and file structures.
Following proper file naming conventions makes it easier to navigate and find specific files, and allows other researchers to understand and reuse your dataset.
A well-structured file hierarchy will make it easier to locate and share your files. Recommended practices include:
2. Deposit your files in preferred file formats to support preservation and reuse.
The use of preferred file formats are important to support the long-term preservation of your research data. Consult the following resource for a non-exhaustive list of preferred file formats:
If appropriate, files may be deposited in their original file format, in addition to a preferred format. If you have any questions about preferred file formats for your research data, contact the Research Data Management Librarian.
3. Describe your dataset with rich metadata to facilitate discovery.
Depositors must complete all required fields in the descriptive metadata. Depositors are strongly encouraged to complete geospatial metadata fields and subject-specific metadata fields, as appropriate.
Consult the following resource for guidance on the repository's metadata fields:
UWinnipeg Library may suggest changes to the descriptive metadata for the purposes of discovery, reuse, and preservation.
4. Include a ReadMe file to support correct interpretation and reuse of your dataset.
For research data to be read and interpreted correctly, it requires sufficient documentation. All deposited datasets must include a “ReadMe” file that includes the following information:
ReadMe files must conform to the following:
Consult the following resource for a basic ReadMe file template:
A librarian will review all deposited datasets for alignment with the Deposit Guidelines. In the case of non-compliance, the depositor will be asked to make necessary modifications. Once a librarian has approved your submission, you will be notified and the dataset will be published. All published datasets will receive a Digital Object Identifier (DOI) to allow your dataset to be cited.
All files deposited to UWinnipeg Borealis are held in cloud storage powered by the Ontario Library Research Cloud (OLRC), a distributed object storage network managed by Scholars Portal. Data will be replicated a minimum of 3 times across the OLRC’s 5 storage nodes located across Ontario.
UWinnipeg Library commits to preserving published datasets, through the Borealis service, for a period of at least ten years from the date of publication in UWinnipeg Borealis. UWinnipeg Library’s objective remains the continued access and preservation of deposited datasets for the longer term. To support this objective, UWinnipeg Library reserves the right to convert deposited files to any medium or format and make multiple copies for the purposes of security, back up, and preservation. UWinnipeg Library will only modify file contents and file formats to facilitate longterm access and use and with the consent of depositors.
Ten years following the deposit of a dataset to the UWinnipeg Borealis, The UWinnipeg Library (via the RDM Librarian) will initiate a data preservation appraisal process. The depositor will be contacted as part of this process to discuss the future of their dataset. This may involve the development of a long-term preservation plan for their dataset, at the discretion of the researcher and any stakeholders referred to in the preservation plan (ex. University Archives).
Long-term data preservation plans may consist of details pertaining to:
Please note: UWinnipeg Library does not attempt to judge the scholarly quality of deposited datasets, and trusts the judgement and research expertise of those who created and deposited the Dataset. Thus, a determination of a dataset’s research quality is at the sole discretion of the Contact Person as named in descriptive metadata.
The requirements and guidance above have been adapted from several sources, including: