Skip to Main Content
UNH Library home

Data Management Toolkit @ UNH

This guide provides information on effectively managing research data and developing data management plans.

Get help sharing your data

Most funding agencies and journals encourage or require researchers to share their data through appropriate repositories.

We can help!

  • Identify suitable data repositories for your research
  • Get guidance on preparing your data for sharing
  • Learn how to deposit data into a repository
  • Ask questions about funder or publisher data sharing requirements
  • Understand best practices for data sharing and documentation

Contact the Research Data Services Librarian for support with sharing your data.

Sharing human subjects research data

The University New Hampshire (UNH) Institutional Review Board (IRB) for the Protection of Human Subjects in Research developed Guidelines for Sharing Human Subjects Research Data to assist researchers who plan to share with other researchers or external entities individual level research data derived from human subjects. Also, visit the Qualitative Data Repository for general guidance.

Choosing a data repository

Depositing your data in an repository will facilitate its discovery, access, and long-term preservation. Informal methods of providing your data, such as emailing it to a colleague or posting a file on a website, are not the same as sharing your data in a way that makes it easy for other researchers to find and cite your data.

Discipline-specific repositories

Repositories are maintained by many academic discipline communities, by funding agencies to provide access to funded research, and by academic institutions to protect community member research. To find content and discipline-specific data repositories, for your data or looking for archived data to reuse, start with the Registry of Research Data Repositories (re3data.org) and the Data Repository listing on the Open Access Directory Wiki. But word of mouth is also good – where are people in your field submitting their data or where are they looking for data to reuse. Discipline-specific repositories often have more support on the back end (in terms of review or curation services) and some charge for submission (or access)

re3data.org logo.  Links to the registry of research data repositories.                                         Open Access Directory logo.  Links to the Data Repository listing in the Open Access Directory Wiki. Data Repository Listing

Generalist repositories

There are also some very good generalist repositories that are free to submit and free to access. These are great options if your field doesn’t have a go-to repository or you don’t have money to pay for submission fees at fee-based repositories. The three below well-known and provide DOIs for your submission.

ICPSR

ICPSR is for social and political sciences. As members, UNH researchers can submit and access data free of charge. They provide nice curation services. But any researchers who are not from member institutions must pay a fee to access the data (unless the researcher has paid  a curation fee upfront to offset that).

Funder repositories

There are also some repositories for specific grant-funded projects - if you have a funder, we can check on that too. Also, check the author guidelines for the publication - some may have suggestions on where to deposit (although I am seeing this less, lately).

Things to consider when choosing a repository

  • Free or for a fee. Check to see if the repository you select is free to submit and access, or charges a fee for submission or access.
  • Access restrictions. If the data requires restricted access, then that is going to limit the repositories you can use.
  • Informed Consent. If this is human subjects data, check to make sure your informed consent form aligns with sharing the data.
  • File types. Most options accept a wide variety of file types, but if you have specialized file types, you will need to check that they accept those.
  • Size. All repositories have size limits on upload and total deposit.
  • DOI – digital object identifier. Most repositories assign digital persistent identifies to your data and code (e.g., DOI, PURL, Handle.Net, etc.). I strongly recommend using a repository that does - this will make your data easier to cite and locate.
  • Readme file or other documentation. At a minimum, I recommend included a readme file - sharing data is one thing but making that understandable and reusable by others is the goal. And the readme helps!
  • Data availability statement. If the journal allows for it, include a data availability statement that provides the DOI of your dataset.
  • After the article is published. In many repositories, you can link to your published article.