When journals ask to make data shareable:
The McGill Library offers an institutional data repository, the McGill University Dataverse, as a local solution for research data publishing and archiving. McGill faculty, students, and staff are welcome to deposit datasets in the McGill Dataverse repository. All data are stored securely on servers located in Canada. Data can be publicly accessible, available to specific individuals, or private/restricted.
The McGill Dataverse can be found by following this URL: https://borealisdata.ca/dataverse/mcgill
For more information about the Dataverse, including how to make an account and deposit data, please visit the following URL: https://www.mcgill.ca/library/services/data-services/sharing/dataverse
For training on using Dataverse, please see this series of self-paced online modules: Dataverse 101: A Portage Training Module Series
A wide variety of additional data repositories and databases are available that archive research data from many subject areas. Coverage varies by discipline.
McGill researchers who wish to look for a domain-specific data repository are encouraged to start by using Re3data.org which provides a comprehensive listings of disciplinary and institutional repositories to host and share research data.
Other places to find lists of data repositories include:
The following list names a few, reputable general data repositories:
Persistent identifiers are:
Persistent identifiers allow for:
Data journals publish data articles, which are mini-publications about a dataset or database. Similar to the peer review process for the write-up of a journal article or study, the data would be peer reviewed (for an example of peer review guidelines for data articles, see the Earth Science System Data Journal guide). Data articles can be about data that underlie existing publications or they can be independent publications. Publishing data as their own research product allows you to cite the data easily in subsequent publications, link the data to publications, and potentially receive credit for the data itself in addition to any related studies.
A (slightly outdated but still accurate) list of data journals
Additional information on data journals:
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