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Open Data Repositories

As the division of the libraries committed to supporting publishing and open access, Open Scholarship Services provides guidance and infrastructure to support data sharing. As new instruction from the White House Office of Science and Technology Policy accelerates an existing trend toward open access requirements from research funders, our open data services will help UMD faculty to prepare to apply for grant proposals and publishing mandates. 

Data sharing provides tangible benefits to researchers through the publication of additional research objects and the ability to generate impact through the citation of your data. To the community at large, sharing provides equity in access to research data and increases transparency and reproducibility in research.

Use a trusted data repository to publish and preserve your data in compliance with funder mandates. Different repositories may offer services, metadata, and storage options that may or may not align with your needs. UMD offers a variety of options for you to explore through our own repository and memberships in community-owned platforms.

UMD Data Collection on DRUM

The Digital Repository at the University of Maryland (DRUM) provides the opportunity to easily share data on infrastructure owned and maintained by the UMD Libraries. DRUM for Data provides a simple, cost-free way to share your data and link it to any other research outputs that you deposit, such as a research article, white paper, or conference proceedings. 

If you are using the DRUM self-deposit interface on the UMD Data Collection, there is an upload limit of 2GB. If you have a larger dataset, totaling more than 15 GB, you can reach out via for assistance depositing your materials. This upload limit may preclude some datasets from being stored in DRUM, and we have partnered with community-owned organizations to help those of you who require larger storage space, as described below. While the Libraries are happy to provide consultations on the suitability of DRUM for your project and basic best practices around data sharing, we cannot offer data curation services to those who are depositing data to DRUM. 


Beginning in the Fall 2023 semester UMD will be a member of the Dryad data community. Dryad is a community-owned resource that offers data curation services in addition to large storage capacity for most kinds of datasets in any discipline. 

  • You may deposit up to 300GB of data using the general interface; for larger projects, please reach out to Dryad ( or the Libraries ( to discuss how your data can be processed and if there are any additional technical requirements or fees that may be associated with a larger project.
  • At Dryad, curation is the process of thoroughly evaluating research metadata and related objects to verify that data are accessible, organized, intelligible, and complete to ensure ease of re-use. Curators collaborate with researchers to confirm that data are appropriate for open sharing, follow FAIR principles, and meet ethical standards for publication. They also offer guidance on best practices for creating reusable data and help authors navigate publication requirements.
  • Dryad data records each receive a DOI, can be versioned, and can be linked to your ORCID profile. In addition, Dryad collaborates with a variety of publishers and other repositories, such as PubMed, to streamline the presentation of data alongside research articles. 
  • Dryad publishes data exclusively under a Creative Commons Public Domain License (CC0) and does not support the publication of sensitive data or restricted access to records. Please note that most data is considered factual and is not copyrightable under US copyright law; thus the CC0 licensing requirement underlines the inherent reuse value of datasets and encourages sharing with the global community.

Qualitative Data Repository

Beginning in the Fall 2023 Semester UMD will be a member of the Qualitative Data Repository (QDR). The Qualitative Data Repository offers services that target the unique challenges of managing and publishing qualitative human subject data. QDR is hosted by Syracuse University and has been certified by CoreTrustSeal.

  • QDR offers data management planning and curation services including assessment of their project plans, timeline, funder requirements, and participant privacy, all targeted toward the preservation and publication of sensitive data. We strongly encourage those who are interested in using QDR or sharing sensitive data to reach out to the organization as early as possible in their planning process to take advantage of these services.
  • These services may be key in helping to bridge the gap between privacy and adherence to guidance from internal review boards with mandates to share and provide access to sensitive data. 
  • QDR offers storage solutions for audiovisual recordings and other non-textual forms of recording and storage qualitative data
  • You may contact the Libraries to be connected to QDR or may reach out to the organization directly.
  • QDR does provide a mix of open and restricted access options for data stored in their repository. 

Open Science Framework

UMD is a member of the Open Science Framework (OSF), an open source cloud-based project management platform. It is designed to help teams collaborate in one centralized location and to share part or all of a research project or its outputs.

  • OSF can support research outputs such as preprints, open access articles, and data.
  • Teams can connect third-party services that they already use (such as GitHub, Google Drive, and Amazon Web Services) directly to the OSF workspace.
  • OSF provides version control, persistent URLs, and DOI registration.
  • Cross-institutional collaboration is easy, as is controlling who has access to projects. 

Find a Repository with OpenDOAR and Re3Data

OpenDOAR: Browse a global directory of open access repositories based on a range of features, such as location, software or type of material held. 

Re3Data (Registry of Research Data Repositories): Search this global registry of research data repositories representing the full range of academic disciplines.

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