PHIRI APP - WP7 - PHIRI Federated Research Infrastructure (FRI) - D7.1 Small-scale prototype of PHIRI federated infrastructure
Creators
- 1. Health Science Institute in Aragón (IACS)
Contributors
Researchers:
Work package leader:
- 1. Health Science Institute in Aragón (IACS)
- 2. Swansea University
- 3. Sciensano
Description
D7.1 Small-scale prototype of PHIRI federated infrastructure
The PHIRI Federated Research Infrastructure (FRI) is supported by a containerized reproducible solution for data analysis to be deployed on-premises by each participant partner.
This solution is based on the identification of the relevant data sources for each cases study (including the demonstration pilot), the development of the common data models and the analytical pipelines, and enables the FAIR reporting of the rapid cycle outputs.
The small-scale prototype includes, in this version:
- Common data models for both the demonstration pilot and PHIRI use cases A to D (including their respective synthetic datasets) (see links in Additional notes)
- Data quality analysis scripts for all use cases
- Data analysis scripts for the demonstration pilot, and PHIRI Use Cases A, B, C, and D
*Rapid-cycle analysis is enabled through continuous data updates by participant partners deploying this prototype.
Current technical stack of the PHIRI FLI includes (x2) Docker containers, using:
- (x1) Server-side (Back-end)
- Framework: Nest (NestJS) -> TypeScript (https://nestjs.com/)
- Execution environment: Node.js® >= v14.0.0 (https://nodejs.org/es/)
- Database management system: SQLite (https://www.sqlite.org/index.html)
- Data analysis environment: R version 4.0.4 (https://www.r-project.org/)
- Data wrangling and management: Python (>= Python 3.8.12 (https://www.python.org/))
- (x1) Client-side (Front-end Web application)
- Web server/proxy: Nginx (https://www.nginx.com/)
- Framework: Vue.js -> HTML, CSS, and JavaScript/TypeScript (https://vuejs.org/)
General requirements for installing Docker (support)
- Server: 1 server (or VM)
- CPU: 1 CPU minimum (or 2 CPU for VM configuration)
- GPU: No dedicated GPU required
- RAM Memory: 4 GB minimum (8 GB recommended)
- OS: Unix based (Linux or other) with Docker support
Specific PHIRI FDI Docker deployment requirements
- RAM Memory: 8 GB minimum (16 GB recommended)
Links to other deliverables:
Common Data Models for the different use cases (included in the PHIRI app):
- PHIRI - WP7 - Pilot Common Data Model https://doi.org/10.5281/zenodo.5148467
- PHIRI - WP6 - Use Case A Common Data Model https://doi.org/10.5281/zenodo.5148014
- PHIRI - WP6 - Use Case B Common Data Model https://doi.org/10.5281/zenodo.5148022
- PHIRI - WP6 - Use Case C Common Data Model https://doi.org/10.5281/zenodo.5148032
- PHIRI - WP6 - Use Case D Common Data Model https://doi.org/10.5281/zenodo.5148040
RMarkdown scripts for analysis for the different use cases (included in the PHIRI app):
- PHIRI - WP6 - Use Case A scripts for local analyses (R Markdown) https://doi.org/10.5281/zenodo.6377096
- PHIRI - WP6 - Use Case B scripts for local analyses (R Markdown) https://doi.org/10.5281/zenodo.6359893
- PHIRI - WP6 - Use Case C scripts for local analyses (R Markdown) https://doi.org/10.5281/zenodo.6380734
- PHIRI - WP6 - Use Case D scripts for local analyses (R Markdown) https://doi.org/10.5281/zenodo.6377112
Note 1: The PHIRI FRI includes deployment instructions as a PDF document ("deploy_phiri_app.pdf")
Note 2: The PHIRI FRI includes virtual machine installation and deployment instructions as a PDF document ("PHIRI_WP7_vm_installation_guide.pdf")
Notes
Files
phiri_app_release_version_v.2.1.0.zip
Files
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