Table 1 Results of our analysis of solutions for privacy-preserving data sharing
From: Privacy-preserving data sharing infrastructures for medical research: systematization and comparison
| Approach | Year of publication | Category | 1. Privacy protection | 2. Usefulness | ||||
|---|---|---|---|---|---|---|---|---|
| 1. Safe data | 2. Safe settings | 3. Safe outputs | 1. De-duplication | 2. Flexibility | 3. Scalability | |||
| SHRINE/i2b2 | 2008 | Distributed data analysis | Yes | No | Yesb | No | Specific | Yes |
| dataSHIELD | 2010 | Distributed data analysis | Yes | No | Yesb | No | Generic | Yes |
| OHDSI | 2014 | Distributed data analysis | Yes | No | Yesb | No | Generic | Yes |
| Personal Health Train | 2017 | Distributed data analysis | Yes | No | Yesb | No | Generic | Yes |
| Clinerion | 2015 | Distributed data analysis | Yes | No | Yesb | No | Specific | Yes |
| TriNetX | 2015 | Distributed data analysis | Yes | No | Yesb | No | Specific | Yes |
| MedCo | 2018 | Secure multi-party computation | Yesa | Yes | Yes | No | Specific | No |
| ShareMIND | 2008 | Secure multi-party computation | Yesa | Yes | Yes | Yes | Generic | No |
| Scottish National Safe Haven | 2015 | Data enclave | No | Yes | Yes | Yes | Generic | Yes |
| Virtual Research Data Center | 2014 | Data enclave | No | Yes | Yes | Yes | Specific | Yes |