---
title: "Managing Sensitive Data Projects"
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)=
# Managing Sensitive Data Projects

```{figure} ../../../figures/sensitive-data.jpg
---
height: 500px
name: Dealing with sensitive data
alt: The image shows a training taking a different track when delaying with sensitive data. This includes encryption, consent, de-identification, synthetic data and data safe havens.
---
_The Turing Way_ project illustration by Scriberia. Used under a CC-BY 4.0 licence. DOI: [10.5281/zenodo.3332807](https://doi.org/10.5281/zenodo.3332807).
```
## Prerequisites

| Prerequisite |  Importance  |  Skill Level | Notes |
| ------------ |------------- | ------|----|
| [](#pd-sdp) | Helpful | Beginner |  |

(pd-sdpm-summary)=
## Summary

In this chapter, we describe specific ways that you can manage sensitive data. 

This includes:
* Informed consent
* Data Privacy Strategies
* Sharing sensitive data

(pd-sdpm-motivation)=
## Motivation

Researchers need to conform to legal and ethical restrictions when working with sensitive data.
There are many ways that you can do this and it will depend on the type of data that you are analysing.
