Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer
0.1.0 - ci-build
Requirements Federated Learning and mUlti-party computation Techniques for prostatE cancer, published by HL7 Europe. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/hl7-eu/flute-requirements/ and changes regularly. See the Directory of published versions
| Official URL: https://flute.com/Requirements/NF-PIL-10 | Version: 0.1.0 | |||
| Draft as of 2023-10-25 | Computable Name: NF_PIL_10 | |||
Copyright/Legal: HL7 Europe |
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ID: NF-PIL-10
Publisher: HL7 Europe
| Contact Name | Contact Points |
|---|---|
| HL7 Europe |
Description:
Platform shall monitor the use of the data in the Platform, to detect potential misuse. It shall implement measures for detection of data breaches and potential privacy threats/leaks.
Purpose:
FLUTE specific requirements for FLUTE pilot studies and the platform are outlined based on discussions with stakeholders participating in the case studies, in particular representatives of technical partners participating in WP5 (Quibim) and medical researchers from the three participating hospitals CHUL, IRST and VHIR, which also act as data owners.
Copyright Label: Federated Learning and mUlti-party computation Techniques for prostatE cancer
Actor for these requirements:
FLUTE Platform
Statements:
ID: NF-PIL-10a
Label: As a FLUTE platform, I SHALL monitor the use of the data in the Platform, to detect potential misuse.
Sources:
- HL7 Europe
Conformance Requirement SHALLmonitor the use of the data in the Platform, to detect potential misuse
ID: NF-PIL-10b
Label: As a FLUTE platform, I SHALL implement measures for detection of data breaches and potential privacy threats/leaks.
Sources:
- HL7 Europe
Conformance Requirement SHALLimplement measures for detection of data breaches and potential privacy threats/leaks