Process Model with Quality Control for the Production of High Quality Linked Open Government Data

Abstract

Governments worldwide have invested resources in publishing open data to promote new business and services and to promote transparency and accountability of public policies. However, due to different factors, such as different file formats and different information granularity, these data end up in informational silos, without having additional value besides what is contained in the data file itself. The linked data technology supports addressing this sort of problem, providing principles - based on Web standards - to connect distributed and heterogeneous data sources. Nevertheless, studies in the literature have shown that the perception of quality around open linked datasets is low, what impacts the consumption and reuse of these information by the society. In this work, we propose a model of process which embeds quality control activities (verification and validation) during the process. We adopted the Design Science Research (DSR) methodology to conceive and assess the method, using an illustrative case study. A quality assessment framework was applied and the case studys results were compared to others in the literature, showing an improvement in overall quality, through the selected metrics.