---
id: "coronavirus-smarter-crowdsourcing:strategies/Strengthen-government-capacity-to-interpret-new-an"
type: "GovLab policy strategy"
title: "Strengthen government capacity to interpret new and existing data,focusing on vulnerable populations and…"
url: "https://coronavirus.smartercrowdsourcing.org/strategies/strengthen-government-capacity-to-interpret-new-an"
summary: "Strengthen government capacity to interpret new and existing data,focusing on vulnerable populations and publish data and analysis publicly."
source: "The GovLab (coronavirus.smartercrowdsourcing.org)"
licence: "Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-sa/4.0/)"
---

# Strengthen government capacity to interpret new and existing data,focusing on vulnerable populations and…

Strengthen government capacity to interpret new and existing data,focusing on vulnerable populations and publish data and analysis publicly.

- Timeframe: 3-6 Months (medium)
- Audience: Private Sector, Academia, Vulnerable Populations, Government Workers
- Type: Data, Technology/Innovation, Capacity Building
- Recommendation: [Improve Data Management](https://coronavirus.smartercrowdsourcing.org/recommendations/improve-data-management)
- Part of: [Smarter Crowdsourcing in the Age of Coronavirus](https://coronavirus.smartercrowdsourcing.org/)

## Actions governments should take

1. Create and publish data dashboards that are updated regularly and show progress on metrics. Governments should develop a dashboard aligned with both the contact tracing platform and surveillance/reportable disease databases.
2. Survey available data tools that integrate with communicable disease databases and contact tracing platforms. Examples include power BI, Esri, or Tableau.
3. Fund and assign a data science team to specifically take charge of public-facing data communications, including the dashboard.
4. Maintain consistent reporting and regular updating of the dashboard to build trust with the public.
5. Ensure all data is disaggregated by sex, age, race, ethnicity, and other important demographic and social factors.

## Examples from around the world

1. [In Vietnam, the government partnered with PATH to improve the system by which data already being collected is registered and analyzed. By using online tools, they not only decreased the lag for case notification, but also improved data visualization, thus making it easier and more accessible to analyze existing and new data.](https://www.path.org/articles/vietnam-tuan-ngo-finds-safety-numbers/)