---
title: "Sharing Sensitive Data"
source: The Turing Way
source_url: https://github.com/the-turing-way/the-turing-way
licence: CC-BY-4.0
domain: data-and-analysis
subdomain: turing-way
date_added: 2026-04-25
---

(pd-sdpm-sharing)=
# Sharing Sensitive Data

If you plan to share or publish your data you must ensure that your data are appropriate and safe to share. 
For example, you should consider whether the data can be adequately anonymised, and whether anonymised data will remain useful (see also [](#rr-open-data-barriers)).

After applying methods to de-identify and anonymise sensitive data, there may still be a risk of re-identification (see @Meyer2018personaldata). 

An additional safety measure, or alternative to anonymisation, is **applying access controls** to ensure the data are shared appropriately and securely. 
This may involve finding a data repository that can provide suitable access controls (see [here](https://osf.io/tvyxz/wiki/8.%20Approved%20Protected%20Access%20Repositories/) for a list of protected Access Repositories).
These repositories can provide access to the metadata of the project, which allows others to find and [cite the data]( #cm-citable-otherscite-how). 
Restricted or conditional access also provides potential re-users with the information they need to access the data, making the data [FAIR](#rr-rdm-fair). 

For example, conditions to access the data could require the potential data re-user to: 
  * Register and/or provide contact details to ensure reusers are genuine and aware of their responsibilities.
  * Provide information about how they use the data.
  * Agree to specific conditions such as data security, privacy, and restrictions included in consent forms.

Even if research involves sensitive data an increasing number of journals now request, or even require, access to underlying research data as part of the article submission process. 

For example: 
* The BMJ [requires authors to make anonymised individual patient data available upon on request](https://www.bmj.com/content/350/bmj.h2373) for all clinical trials. 
* Similarly PLOS journals [require authors to make the data necessary to replicate the study's findings publicly available at the time of publication](https://journals.plos.org/plosone/s/data-availability).

## More information
* [Reproducibility when data are confidential](https://labordynamicsinstitute.github.io/reproducibility-confidential/#1)
* [Legal and ethical considerations for sharing research data](https://www.youtube.com/watch?v=7M4_YR7wcFs)
* [](doi:10.5281/zenodo.17588822)
* [Assessing risk when sharing data: a guide](https://theodi.org/insights/guides/assessing-risk-when-sharing-data-a-guide/)
* [](doi:10.1177/25152459251336130); which includes examples and elaborate reasoning for why certain steps are taken
