Harvard Affiliates
As a Harvard Affiliate, you have access to a large number of support services when sharing your research data in the Harvard Dataverse Repository. If you are sharing data as part of an NIH grant, please see our support documentation and the NIH-DMSP guidance document.
The Harvard Library and the Harvard Dataverse Repository offer training throughout the year to support your data-sharing needs.
If you are ready to start sharing your data on the repository, start by creating a collection!
Support for Harvard Affiliates, at a Glance!
Enhanced data sharing services for Harvard users include:
- Up to 2.5 TB of free storage of computationally reusable research data in the repository, on AWS
- Store large data at reduced costs (more than 2.5 TB) via the Dataverse - Globus integration
- OnDemand-Loop, Harvard Only
- Extended free consultation hours
- Support letters for research grant applications, explaining how the repository can support your final data products
- Extended consultation on data de-identification and data use agreements, and best practices in data sharing
- Department-level demos, training, and assistance with getting your collection started.
Contact our office if you require these services.
Note: The repository uses a “Submit for Review” workflow solely for spam mitigation. A member of Harvard Dataverse staff will publish submissions within 24 hours during regular business hours (Monday - Friday).
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Features the Harvard Dataverse Repository supports:
- Customizable collections with a shareable URL
- Dataset with both dataset and file level DOIs (the latter by request)
- Anonymous peer review and Preview URL functionality
- Metadata exports in several formats, including Croissant for machine learning & AI datasets
- Dataverse APIs
- Multiple roles and permissions for collection/dataset/files
- Managed access, file-level embargoes
- Multiple license support
- Data analysis, visualization, and preview tools
- Dataverse - Github Integration
- Dataverse - OSF integration
Harvard affiliates have access to expanded capabilities in the repository, including paid Large Data storage (over 2.5 TB), dedicated support, and lower costs for paid curation services. FAS Research Computing users will also benefit from the forthcoming OnDemand-Loop, which will connect FASRC’s compute and storage resources with Harvard Dataverse, streamlining workflows between data storage, analysis, and publication.
Does the repository support the sharing of sensitive data?
The repository supports anonymized sensitive data, levels 1-2, as per the guidelines on the Harvard University Risk Classification website. The best way to share anonymized sensitive data is to use the “Managed Access” workflow on the repository and include a “Data Use Agreement” as best practice. If you have additional questions about sharing sensitive variables in your research data, consult with the Harvard IRB office before sharing data.
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Do you have publications related to data shared on the Harvard Repository?
Harvard affiliates should share their publications and other scholarly outputs through DASH, Harvard’s central open-access institutional repository for research by members of the Harvard community. DASH is operated by Harvard Library Open Scholarship and Research Data Services (OSRDS), which aims to provide the broadest possible access to Harvard’s scholarship. To enhance discoverability, records in DASH are linked to related research data housed in the Harvard repository. DASH hosts a wide variety of Harvard-affiliated scholarly works, including preprints and post-prints of journal articles, conference proceedings, theses and dissertations, working papers, and reports.
Contact support@dataverse.harvard.edu with any questions or to join our weekly virtual office hours on Wednesdays from 11:00 AM to 1:00 PM ET (RSVP required).
Last updated: November 24, 2025