Abstract
As the use of big data in psychiatry continues to expand, it is crucial to involve patients and the public in decisions about its development and application. Mental Health Data Science Scotland has co-produced a best practice checklist involving both researchers and people with lived experience. This guidance emphasises the need for data to be securely accessible and carefully anonymised and for processes and analyses to be transparent, with participants or patients prioritised throughout.
| Original language | English |
|---|---|
| Title of host publication | Digital Mental Health |
| Subtitle of host publication | From Theory to Practice |
| Editors | Rob Waller, Omer S. Moghraby, Mark Lovell |
| Publisher | Cambridge University Press |
| Chapter | 4 |
| Pages | 50-59 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781009052023 |
| ISBN (Print) | 9781009055000 |
| DOIs | |
| Publication status | Published - 7 Dec 2023 |
Keywords / Materials (for Non-textual outputs)
- Big Data
- Data Analysis
- Data Analytics
- ResearchDatabases
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