Data repositories - Guidance on choosing a repository | Author Services

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Data repositories

What is a data repository?

A data repository is a storage space for researchers to deposit data sets associated with their research. And if you’re an author seeking to comply with a journal data sharing policy, you’ll need to identify a suitable repository for your data.

How should I choose a data repository?

First we recommend speaking to your institutional librarian, funder or colleagues at your institution for guidance on choosing a repository that is relevant to your discipline. You can also use FAIRsharing and re3data.org to search for a suitable repository – both provide a list of certified data repositories.

For cases where there is no subject-specific repository, you may wish to consider some of the generalist repositories below:

We encourage authors to select a data repository that issues a persistent identifier, preferably a Digital Object Identifier (DOI), and has established a robust preservation plan to ensure the data is preserved in perpetuity. Additionally, we highly encourage researchers to consider the FAIR Data Principles when depositing data.

Taylor & Francis Online supports ScholeXplorer data linking helping you to establish a permanent link between your published article and its associated data. If you deposit your data in a ScholeXplorer recognized repository a link to your data will automatically appear on Taylor & Francis Online when your associated article is published. Find out more.

Troubleshooting

“The journal I’m submitting to is double-blind. What repository should I use?” 

If you’re submitting your article to a journal with a double blind-peer review policy and a data policy that mandates sharing, then you will need to deposit your data in a repository that preserves anonymity, i.e. blinds the details of the authors.

You can use the repository Figshare to generate a ‘private sharing link’ for free which can be sent via email and the recipient can access the data without logging in or having a Figshare account. This feature is especially for blind peer review; you can generate a private sharing link to anonymize data for reviewers. It does not include the Author field or any non-Figshare branding. It is important to note that these links expire after one year however; therefore you should not cite them in publications.

Dryad is another (paid for) alternative which allows you to make your data temporarily “private for peer review.” Dryad uses professional curators to ensure the validity of the files and descriptive information.

“The policy states I need to share my data in a ‘FAIR aligned’ repository. What repository should I use?” 

The repository finder tool, developed by DataCite allows you to search for repositories which are certified and support the FAIR data principles.

Further guidance on choosing a FAIR aligned repository is available here.

“I need to limit access to my data in a repository. How can I do this?” 

There are a number of generalist repositories which allow you to limit access to your data, whether permanently or following an embargo period. Some of the repositories offering this functionality include:

  • Figshare – You can generate a ‘private sharing link’ for free which can be sent via email and the recipient can access the data without logging in or having a Figshare account.
  • Zenodo – Users may deposit restricted files with the ability to share access with others if certain requirements are met. These files will not be publicly available. The depositor of the original file will need to approve sharing of the data. You can also deposit content under an embargo status and provide an end date for the embargo; at the end date the content will become publically available automatically.
  • OSF – You can make your project private or public and alternate between the two settings. You can have different privacy settings on your project and components, controlling which parts are public or private. Find out more.

You may choose to limit access to your data if the journal you’re submitting your article to has a ‘share upon reasonable request‘ data sharing policy.

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