Towards Transparent Governance by Publishing Open Statistical Data

A large part of open data concerns statistics such as economic and social indicators. National statistical institutes and public authorities have recently adopted the linked data paradigm to publish their statistical data on the web. Linked Open Government Data are significantly increasing in terms of variety and becomes accessible to data consumers, which makes it challenging to enhance its quality. Although publishing open data as datasets is straightforward and requires minimal technological skills, it is not ideal for users who wish to use the data in a more dynamic format. This process involves several challenges, e.g., data extracting, data modeling, data interlinking, data publishing, design-decisions, and knowledge extraction. In this paper, we seek to fill this gap by proposing an extension of Pub-LOGD framework based on linked open data technologies. To this end, we first conducted a literature review to identify the most steps used to publish Linked Data. Next, these identified tools were combined with the results of an online pre-survey conducted by 35 participants on their preferred tools and tasks. Our goal is to enable data consumers to access a publishing solution that can engage them with governments and re-use government information to deliver public services and applications. To evaluate the effectiveness of our proposal, we engage 8 users from the community to complete a post-survey based on TAM (Technology Acceptance Mode).