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Selecting a Repository Decision Tree
Characteristics of Data Repositories
The following are characteristics identified by the BioMedical Informatics Coordinating Committee (BMIC) as being desirable characteristics of data repositories:
- Persistent unique identifiers
- Long-term sustainability
- Curation & quality assurance
- Maximally open access
- Tracking data re-use
- Free of charge
- Common format
Additional considerations for repositories involving human data:
- Fidelity to consent
- Restricted use compliant
- Plan for breach
- Download audit and control
- Clear use guidance
- Retention guidance
- Plan for use violations
- Request review
Source: Huerta MF. Strategic Approaches to Data Science & Open Science: Research Data Management. Presented at: Research Data Management Symposium; 2019 Dec 5; New York, NY.
Finding a Domain Specific Repository
There are many domain- or field-specific repositories to choose from. These links are some directories to help narrow your search.
Interactive web interface to help researchers find repositories meeting their research requirements
NIH-Supported Data Sharing Resources
To help researchers locate an appropriate repository for sharing or accessing data, BMIC maintains lists of data sharing repositories.
A global registry of research data repositories that cover a wide range of academic disciplines.re3data presents repositories for the permanent storage and access of data sets to researchers, funding bodies, publishers and scholarly institutions.
Zucker School of Medicine at Hofstra/Northwell Data Catalog
A website tool to facilitate researchers’ discovery of data by providing a searchable and browsable online collection of records describing datasets generated by ZSOM, Northwell Health, and Feinstein Institute researchers.
If you need help with data management, choosing a data repository, or writing a DMSP, please contact:
Lena Bohman, Data Services and Research Impact Librarian, email@example.com
While NIH encourages the use of domain-specific repositories where possible, such repositories are not available for all datasets. The following repositories are affiliated with NIH.
A repository of data underlying scientific and medical publications.
Figshare enables academics to upload, share, cite and importantly discover all manner of research outputs with the security of knowing our hosting options and platform support long term preservation of data.
An open research data repository, where researchers can upload and share their research data. Datasets can be shared privately amongst individuals, as well as published to share with the world.
Open Science Framework
OSF is a free, open source web application that connects and supports the research workflow, enabling scientists to increase the efficiency and effectiveness of their research. Researchers use OSF to collaborate, document, archive, share, and register research projects, materials, and data.
Synapse is a collaborative, open-source research platform that allows teams to share data, track analyses, and collaborate developed by Sage.
Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform, focused on sharing individual participant-level data from completed clinical trials to serve the international research community.
An all-purpose open-access repository developed under the European OpenAIRE program and operated by CERN.
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