Repositories are places where researchers can deposit their data for preservation and sharing at the conclusion of a project. Using an established repository as a mode of sharing is encouraged or required by many funders and publishers. In addition, depositing data into a repository increases your associated research citations (Drachen, Ellegaard, Larsen, & Dorch, 2016).
Repository services may include:
The University of Pennsylvania Libraries is an institutional member of the Qualitative Data Repository (QDR), a dedicated archive for storing and sharing qualitative and multi-method data. Our membership supports the curation and preservation of data projects deposited by Penn faculty, students, and research staff. Through this benefit, individual researchers can consult with experts in qualitative data curation, including discussions about disclosure issues, metadata creation, and more. Researchers should start early in consulting with QDR, ideally at the beginning of a project before data collection or during the data management planning stage for any grant submissions. If you are applying for a large or multi-year grant, please consult with QDR before designating them as a repository. There may be additional costs for large-scale or multi-year projects. If you are a researcher working in qualitative methods, please contact Lynda Kellam (LibraryRDDS@pobox.upenn.edu) for more information.
For more information about QDR and qualitative data analysis, check out our Qualitative Data Analysis Tools and Resources guide. There is even a recording of a QDR workshop for in depth information on the repository.
ScholarlyCommons is the University of Pennsylvania's open access institutional repository for gathering, indexing, storing, and making widely available the scholarly output of the Penn community. ScholarlyCommons accepts datasets from the Penn community that meet submission policies.
Our policies and instructions are available on our ScholarlyCommons Guide, but below we have highlighted relevant information for datasets:
Dryad is an open data publishing platform and a community committed to the open availability and routine re-use of all research data. It originally began preserving ecology and environmental biology data, but has since then broadened out its collection policy to accept any data that meets its policies (such as no personally identifiable human subject data). The University of Pennsylvania has an institutional membership with Dryad, which covers the cost of curation and deposit of up to 300GB of data.
Below are some important points to know about Dryad. For more information, review Dryad's thorough FAQ and our Dryad DMP boilerplate language. Any questions can be directed to LibraryRDDS@pobox.upenn.edu.
You can watch a recording of our Dryad for STEM Researchers workshop for even more information on how to login and the more advanced options that Dryad offers! The slides are available for viewing as well.