Abstract

The reuse of data by public administration in Spain is growing significantly thanks to Plan Avanza 2. But the growth rate is not the same in the case of cultural institutions. The three key issues that delay the release of cultural data are described: the need for adequate metrics for measuring the business generated when data become open, the possibility of losing the attribution, and potential income loss. The most emblematic cultural data release projects are described, and the problems they have faced are identified.

Abstract

Open data are a basic infrastructure for the creation of business, products, and services. To analyze their usefulness, the differences between data access, and dissemination, and reuse must be taken into account. The objective of this research is to analyze how Berners-Lee’s 5-star model and other factors help evaluate the quality of data and its use in the Barcelona open data portal, including its relationship to downloads and themes. Results show that it may be of interest to include aspects such as data updating frequency and geolocation in the models that measure the quality of data for reuse.

Abstract

The extent of data disclosure related to transparency and accountability in Spanish regional governments is analyzed for the period 2013-2017. For that purpose, an index with weighting of the quality for data reutilization is used. The index is first calculated for open data portals, and then transparency portals and institutional websites are added to the assessment. Findings show that just five regional governments clearly opt for open data based transparency and accountability. Nevertheless, there is a general improvement when transparency portals and institutional websites are added to the index, mainly because of data disclosed in transparency portals. Findings show that fourteen regional governments show sincere transparency and accountability policies, five of them with open data and the remainders with transparency portals. On the contrary, four regional governments perform a sheer apparent transparency behavior, without disclosing significant data.