Digital Commons Data
Digital Commons Data: Digital Commons Data helps institutions publish, curate, and report on research datasets. Ranked #7 of 32 in Research Data Management Software by our editors (8.7/10); pricing: Pricing on request; best for institutions wanting a branded dataset repository.
At a glance
- Editor score8.7 / 10
- PricingPricing on request
- Best forInstitutions wanting a branded dataset repository
- Free planNo
- Repository accessManaged
- Facts checked5 Oct 2026
Where it wins
- Registers DOIs automatically when datasets are published
- Offers institutional showcase pages and custom metadata fields
- Supports moderation, access requests, and usage reporting
Where it doesn't
- Requires an institutional subscription purchased through sales
- Managed repository access may not suit teams seeking self-hosting
- Default maximum dataset size is 100 GB
Our verdict on Digital Commons Data
Digital Commons Data is a hosted research data repository for institutions and their researchers, administrators, and data curators. It supports dataset submission, curation, sharing, and preservation, with an institutional showcase page for published work. Researchers can publish datasets while administrators organize collections and projects, manage permissions, and review activity. Its institutional administration and moderation model makes it a fit for organizations that want a branded repository and publication oversight rather than an individual workspace.
Publication workflows combine automatic DOI registration with custom metadata fields and dataset-level access controls. Institutions can make datasets public or restrict access and handle access requests; moderators can review submissions before publication. Usage reports and PlumX metrics add ways to track activity around published datasets. The platform is web-based and cloud-deployed, with managed repository access. The documented 100 GB figure is the default maximum size for an individual dataset, not a total storage allowance, so institutions should consider dataset-size needs when evaluating the service.
Digital Commons Data is sold to subscribing institutions, and prospective customers are directed to request a consultation rather than choose a published self-serve plan. Support channels include email and ticketing. These terms make it more suitable for mid-market and enterprise institutions evaluating an institutional repository than for researchers seeking a free or independently managed tool. Organizations that value branding, moderation, identifiers, and restricted sharing may find its focus relevant; teams that need self-hosting or a clearly priced plan should compare alternatives before committing.
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Digital Commons Data pricing
Digital Commons Data fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| DMP templates | Not verified |
| Repository access | Managed |
| Storage limit | 100 GB |
| Metadata standards | Not verified |
| Persistent identifiers | Yes |
| Access controls | Both |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Tickets |
| Built for | Mid-market, Enterprise (editorial estimate) |
| Pricing | Pricing on request |
| Website | elsevier.com |
| Facts checked | 5 Oct 2026 |
Alternatives to Digital Commons Data
- ZenodoFree repository for publishing research objects with DOIs, versioning, and access controls.9.4
- FigshareA repository for publishing, organizing, and tracking research outputs, with free and paid options.9.2
- ICPSRA research data archive for depositing, curating, discovering, and preserving social-science studies.9.1
See all Digital Commons Data alternatives →
Digital Commons Data vs the competition
- Digital Commons Data vs Zenodo
- Digital Commons Data vs Figshare
- Digital Commons Data vs ICPSR
- Digital Commons Data vs DaRUS
- Digital Commons Data vs ARGOS
- Digital Commons Data vs DMPonline
Compare Digital Commons Data with any tool side by side →
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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Digital Commons Data for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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