A research data repository is a virtual place to store and preserve research data. Depositing research data in a repository increases data transparency and exposure and promotes research collaboration opportunities. There are multidisciplinary, subject-based, and special purpose repositories available to researchers worldwide. For example, iDEA houses digital resources produced by the Drexel University community.
Although Drexel University Libraries does not currently recommend specific repositories, we advise reviewing the following considerations before selecting a repository for your research data.
FAIR means that data publishing platforms should enable data to be Findable, Accessible, Interoperable, and Re-usable. Many organizations, including the NIH, place considerable emphasis on data sharing that meets these principles.
*University of Iowa Libraries. Research Data Services Data Repositories. Retrieved August 27, 2019 http://www.lib.uiowa.edu/data/share/data-repositories/
As the number of research data repositories increases, so do registries and directories of repositories. The following registries are useful for locating a repository for your research data:
Scientific Data Recommended Data Repositories: repositories recommended by Scientific Data. Repositories on this list have been evaluated by Scientific Data, to ensure that they meet their requirements for data access, preservation, and stability.
Listed below are some popular research data repositories and details regarding each one.
Figshare https://knowledge.figshare.com/ Figshare Features Sharing Data with FigShare
Harvard Dataverse https://dataverse.harvard.edu/
ICPSR https://www.icpsr.umich.edu/icpsrweb/ ACCESS NOTE: User must create free MyData Login while on-campus or using VPN in order to download data. After the Login is created you will be able to download from anywhere.
Data should be cited within a publication just as other literature are cited. Use the appropriate format based on the citation style you're using (eg. APA, Chicago, Turabian, etc.). The minimum amount of information that should be included in a dataset citation is the following:
Many data repositories have specific guidelines on how the data they host should be attributed. These citation guidelines are often included in the dataset’s metadata or linked from the repository’s web site.
Example of citing data from the Dryad repository:
How do I cite data from Dryad?
When citing data found in Dryad, please cite both the original article, as well as the Dryad data package. You can see both of these citations on the Dryad page for each data package.
Westbrook JW, Kitajima K, Burleigh JG, Kress WJ, Erickson DL, Wright SJ (2011) Data from: What makes a leaf tough? Patterns of correlated evolution between leaf toughness traits and demographic rates among 197 shade-tolerant woody species in a neotropical forest. Dryad Digital Repository. https://doi.org/10.5061/dryad.8525
How to Cite Datasets and Link to Publications (Digital Curation Centre)
Why and How Should I Cite Data? (ICPSR)
Related Library Guides:
Please contact email@example.com to request assistance with finding a research data repository or uploading research data to a repository.