UX Design & Development — Transparency through accessible data

LabIt — Open Data Portal

The open data portal was developed to make municipal information accessible, understandable, and useful for citizens, researchers, and developers, promoting transparency and data-driven decision making.

Project Scorecard

OCT 2024
6 weeks
Team
WebAppUX DesignData VisualizationGovernment

Context — Government Transparency Through Data

Municipal governments collect vast amounts of data, but this information was often inaccessible, poorly organized, or difficult to understand for citizens and researchers.

The open data portal aimed to transform how citizens access and understand municipal information, making government more transparent and enabling data-driven insights for community improvement.

My role focused on designing an intuitive interface that would make complex municipal data accessible to diverse audiences, from casual citizens to data analysts.

I want to understand how my tax money is being spent, but the information is buried in PDFs.

— Citizen feedback

The Problem — Inaccessible Government Data

Municipal data was scattered across different formats, difficult to search, and lacked proper visualization tools for understanding trends and patterns.

Problem landscape

Research & Discovery

We interviewed citizens, researchers, journalists, and developers to understand how they would use municipal data and what barriers they faced.

User Groups Interviewed

25 participants

Data Categories

15+ datasets

Use Cases Identified

20+ scenarios

Key Findings

Insights that shaped the data portal

Diverse User Needs

Diverse User Needs

Different users needed data in different formats and levels of detail.

"I want to understand how my tax money is being spent, but the information is buried in PDFs."
Visualization Preferences

Visualization Preferences

Users preferred interactive charts and maps over static tables and reports.

"I can see trends much better with charts than reading through spreadsheets."
Data Quality Concerns

Data Quality Concerns

Users needed confidence in data accuracy and regular updates.

"I need to know this data is current and reliable before I can trust it."

Solution Strategy

The solution focused on creating a user-friendly interface with multiple data formats, interactive visualizations, and clear data quality indicators.

Solution strategy

Design Solution

Key features and data experience

Multi-format Data Access

Data available in various formats: interactive charts, downloadable datasets, and API access.

Interactive Visualizations

Dynamic charts, maps, and graphs that allow users to explore data relationships.

Search and Filter

Advanced search capabilities with filters for data categories, time periods, and geographic areas.

Data Quality Indicators

Clear indicators showing data freshness, source, and update frequency.

Wireframe data catalog
Wireframe interactive chart
Wireframe data download

Results & Impact

The open data portal significantly improved government transparency and data accessibility:

Data Downloads

500+ monthly

Citizen Engagement

300% increase

API Usage

50+ developers

  • Data visualization must balance simplicity with depth for diverse user needs.

  • Transparency builds trust when data quality and freshness are clearly communicated.

  • Multiple access formats (visual, downloadable, API) serve different user workflows.

Open data portal overview