An Open Source Python Library for Anonymizing Sensitive Data
Abstract Open science is a fundamental pillar to promote scientific progress and collaboration, based on the principles of open data, open source and open access. However, the requirements for publishing and sharing open data are in many cases difficult to meet in compliance with strict data protect...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
|
| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04019-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|