Abu Dhabi Data Portal

Research / User Testing / UX / UI Design / Development

The Abu Dhabi Government portal is a well-structured open data portal where authoritative personnel can feed the country’s data from different domains. The open data portal helps the government be accountable to citizens and provides validated statistical information for scrutinizing and evaluating state performance.
Datasets
0 +
Resources
0 K+
Datasets Viewed
0 m+
Datasets Downloaded
0 m+

The Challenge:

The government of Abu Dhabi identified the challenge of maintaining the country’s data in different domains. After conducting extensive research, they wanted to create a fully managed open data portal that could handle diverse datasets and maintain privacy. The solution needed to deliver a user-centric approach, make it easy to exchange information, and always be accessible to the users. All requirements had been navigated through strong R&D to ensure the sustainability of the solution. We face significant challenges in mapping geospatial data accurately, as the format and structure of geospatial datasets differ between DKAN 1 and DKAN 2. Ensuring precise data transformation and maintaining spatial integrity during migration is critical.

Our Solution:

The Government of Abu Dhabi selected us to construct an Open Data Portal, recognizing our capabilities. We proposed a solution that was not only functional but also innovative, incorporating futuristic features, an intuitive design, and an end-to-end encrypted database. Our delivery exceeded our client’s expectations, showcasing our commitment to pushing technological boundaries and leaving a lasting impression on the audience.

Project Kickoff:

By aligning our professional developers and project managers, we embarked on this project from the ground up. Our focus was not just on meeting the technical requirements but also on ensuring that the end product would be user-friendly and intuitive, providing the audience with a sense of reassurance and confidence in the system’s usability. From planning and execution to development and deployment, we prioritized optimal collaboration to meet our clients’ preferences and requirements.

Core Features Of Abu Dhabi Data Portal:

1.

Multiple File Exportation:
Users can export files of public data in CSV, Excel, and PDF formats to facilitate sharing and distributing data.

File Format

2.

Sorted out Datasets:
Our developers made ODP more accessible and easy to use by adding advanced filter features that help users scrap out relevant data quickly. Users can search data via topics, tags, and keywords.

Sorted Data

3.

Graphical Representation:
The open data portal visualizes data stats in a graphical manner, making it easier for users to understand and interpret. The user interface is engaging and informative, using distinct colors to show the ups and downs of data stats, thereby enhancing the user experience and facilitating data analysis.

graphical-representation

4.

Harvest Datasets:
Data harvesting, a key feature of the portal, refers to the sharing and exchanging of datasets and metadata from one website portal to another. This process, which search engines use to find, classify, and index data material from different website portals, allows the Abu Dhabi Open Data Portal to showcase a wide range of data in one dedicated platform.

5.

Tabular Representation:
Users can also preview data in tabular form without exporting files, ensuring that users get optimal data visualization experience.

Tabular

Solution we get:

To address data harvesting challenges, we have developed a custom schema design. This solution ensures compatibility and integrity during the migration process. It streamlines data transformation and maintains accuracy across datasets.

To address geospatial challenges, we have designed a custom Geospatial API. This solution ensures accurate data mapping and resolves format discrepancies between DKAN 1 and DKAN 2.

Conclusion:

In the process of migrating from DKAN 1 to DKAN 2, we faced significant challenges, particularly with data compatibility, large datasets, and geospatial data mapping. To overcome these obstacles, we developed a custom schema design that ensured seamless data transformation and integrity. Additionally, for geospatial data, we designed a custom Geospatial API to accurately map and handle the data. These solutions allowed us to effectively mitigate the issues, ensuring a smooth transition and enhanced data management capabilities in DKAN 2.

Back