Skip to end of banner
Go to start of banner

Publish and Archive

Skip to end of metadata
Go to start of metadata

You are viewing an old version of this page. View the current version.

Compare with Current Restore this Version View Page History

« Previous Version 3 Next »

🌱 Archiving Resources

Resource

Description

Link

JHU Sheridan Libraries Data Archive

The JHU Data Archive is an open access repository for the long-term management and preservation of research data. Through depositing datasets in the JHU Data Archive, researchers are able to share their research data with the public for future discovery and reuse. The JHU Data Archive is administered by professional curators, who will work with you to ensure your data is Findable, Accessible, Interoperable and Reusable (FAIR). 

Data Archive Sheridan Libraries

Nature: Scientific Data Repository

Scientific Data mandates the release of datasets accompanying our Data Descriptors, but we do not ourselves host data. Instead, we ask authors to submit datasets to an appropriate public data repository. Data should be submitted to discipline-specific, community-recognized repositories where possible. Where a suitable discipline-specific resource does not exist, data should be submitted to a generalist repository.

Authors must deposit their data to a data repository as part of the manuscript submission process; manuscripts will not otherwise be sent for review. If data have not been deposited to a repository prior to manuscript submission, authors can upload their data to figshare or the Dryad Digital Repository during the submission process. Data may also be deposited to these resources temporarily, if the main host repository does not support confidential peer review.

https://www.nature.com/sdata/policies/repositories

Open Science Foundations Archive

Many researchers use OSF as a long-term data repository, electronic lab notebook, or as the collaboration tool for their team’s research and wish to determine cost of services. The OSF usage tiers help you quickly calculate the anticipated cost of storage and usage

https://www.cos.io/osf-usage?hsCtaTracking=76855c49-086f-4333-8bdc-d3a1f4e1f8ae%7C9e805e14-a511-4399-ab62-09bdf431a223