From an Integrated Usability Framework to Lessons on Usability and Performance of Open Government Data Portals: A Comparative Study of European Union and Gulf Cooperation Council Countries
June 13, 2024 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Fillip Molodtsov, Anastasija Nikiforova
arXiv ID
2406.08774
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY,
cs.SE
Citations
0
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Open Government Data (OGD) initiatives aim to enhance public participation and collaboration by making government data accessible to diverse stakeholders, fostering social, environmental, and economic benefits through public value generation. However, challenges such as declining popularity, lack of OGD portal usability, and private interests overshadowing public accessibility persist. This study proposes an integrated usability framework for evaluating OGD portals, focusing on inclusivity, user collaboration, and data exploration. Employing Design Science Research (DSR), the framework is developed and applied to 33 OGD portals from the European Union (EU) and Gulf Cooperation Council (GCC) countries. The quantitative analysis is complemented by qualitative analysis and clustering, enabling assessment of portal performance, identification of best practices, and common weaknesses. This results in 19 high-level recommendations for improving the open data ecosystem. Key findings highlight the competitive nature of EU portals and the innovative features of GCC portals, emphasizing the need for multilingual support, better communication mechanisms, and improved dataset usability. The study stresses trends towards exposing data quality indicators and incorporating advanced functionalities such as AI systems. This framework serves as a baseline for OGD portal requirements elicitation, offering practical implications for developing sustainable, collaborative, and robust OGD portals, ultimately contributing to a more transparent and equitable world.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Human-Computer Interaction
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Improving fairness in machine learning systems: What do industry practitioners need?
R.I.P.
π»
Ghosted
Identifying Stable Patterns over Time for Emotion Recognition from EEG
R.I.P.
π»
Ghosted
Questioning the AI: Informing Design Practices for Explainable AI User Experiences
R.I.P.
π»
Ghosted
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
R.I.P.
π»
Ghosted
Educational data mining and learning analytics: An updated survey
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted