Public Data Sources Structuring and Automation for Public Health Intelligence
Support the design, automation, and improvement of public health data workflows.
Overview
Support the design, automation, and improvement of public health data workflows.
You have:
- Experience writing scripts to fetch, store, and update data from web sources or APIs.
- Experience structuring files/folders for reproducible, multi-source data work.
- Exposure to public health, surveillance, or open government data sources.
Contract
This is a UNV contract. More about UNV contracts.
The Online Volunteer will support the design, automation, and improvement of data pipelines and analytical workflows that enable more efficient access, management, and use of public health information. The volunteer will contribute to organizing diverse public data sources, developing automated processes for data retrieval and updates, and strengthening documentation practices to improve data consistency, traceability, and reproducibility. Through this support, the volunteer will help enhance WHO Egypt’s capacity to use reliable and up-to-date information for public health analysis, monitoring, and evidence-based decision-making.
Assignment description
The online volunteer will support the structuring and automated retrieval of public data sources used across public health intelligence workflows, working with the team to keep a defined set of sources organised and up to date.
Key tasks
Support design and upkeep of a clear folder/file structure for data from multiple public sources. Support development of R scripts to automatically download and update data from a defined source list.
Key deliverables
At least 2 working R scripts that automatically retrieve and update data from public sources. A source documentation sheet (update frequency, access method, known issues) for each source on the list.
R Programming and Automation: experience writing scripts to fetch, store, and update data from web sources or APIs. Data organisation: experience structuring files/folders for reproducible, multi-source data work. Public health or open data familiarity: exposure to public health, surveillance, or open government data sources.
Potential interview questions
| Can you describe a project where you automated data retrieval using R? | This question assesses your practical experience with automation and scripting. | Share the project details, the challenges faced, your approach using R, and the impact of your work. |
| How do you ensure the consistency and accuracy of data sources you manage? | The interviewer wants to understand your data management practices. | Pro members can see the explanation. |
| What strategies do you use for organizing multiple data sources? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you provide an example of how you dealt with issues in data sources? | Pro members can see the explanation. | Pro members can see the explanation. |
| What considerations are important when working with public health data? | Pro members can see the explanation. | Pro members can see the explanation. |
| Describe how you would keep documentation for data sources organized and up-to-date. | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you approach learning new data-related tools or languages? | Pro members can see the explanation. | Pro members can see the explanation. |
| What role do you think open data plays in public health decision making? | Pro members can see the explanation. | Pro members can see the explanation. |
Added 1 day ago
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Updated 1 day ago
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Source:
unv.org
