The opening of government data, in order to have both social and economic value generated from them, has attracted the attention and interest of both researchers and practitioners from various disciplines, such as information systems, management sciences, political and social sciences, and law. Despite the rapid growth of this multidisciplinary research domain, which has led to the emergence and continuous evolution of technologies and management approaches for open government data (OGD), a detailed analysis of the specific areas and topics of this research is still missing. In this article, a detailed taxonomy of research areas and corresponding research topics of the OGD domain is presented: it includes four main research areas (ODG management and policies, infrastructures, interoperability and usage and value), which are further analyzed into 35 research topics. An important advantage of this taxonomy, beyond its high level of detail, is that it has been developed through extraction and a combination of relevant knowledge from three different sources: important relevant government policy documents, research literature, and experts. For each of the 35 research topics we have identified, its research literature is summarized and main research objectives and directions are highlighted. Based on the taxonomy, an extension of the extant OGD lifecycle is advanced; also, under-researched topics that require further research are identified.
Nowadays, Blockchain Technologies (BCT) could be characterized as one of the most promising trends. We are currently witnessing a plethora of implementations basically in the economic sector with the creation of cryptocurrencies. The majority of researchers and practitioners argues that many benefits could be derived from the use of this innovative technology with the most significant one being the improved sense of trust to BCT applications. At the same time governments pursue amplified trust from their citizens and BCT is gaining momentum since it addresses this of utmost importance problem based on its unique characteristics. More and more governments realize the advances of this technology and participate in pilot applications in different vertical governmental sectors. Even though there are several implementations in the Government sector, there is no comprehensive study towards the analysis of the major characteristics of these developments. This paper moves towards the fulfilment of this gap conducting a thorough analysis of e-Government pilot applications of BCT in a European level. Furthermore, this study discusses the key benefits and main barriers coming from the application of this technology in different domains with BCT experts.
30 September 2015 in Journal of the Knowledge Economy
Social innovation requires extensive networking, communication, and collaboration among various social actors. This article presents an approach to fostering and supporting social innovation through the combined exploitation of multiple social media. Furthermore, a methodology is developed for evaluating this approach, based on sound theoretical foundations: The wicked problems theory and the diffusion of innovation theory. This methodology is used for evaluating three pilot applications of this approach, organized in cooperation with members of the European Parliament.
Open data can play a crucial role in different sectors of the world, such as government, science, research, technology, culture, and finance. There are several necessary measures that every organization needs to consider before opening data. There are three major steps to opening the data: (1) Preparation stage, and (2) launching the open data initiative (3) In this case, the feedback mechanism study such as expand and sustain stage, our focus is on the second step, which is how to launch the data as an open dataset and what platforms are available in the market. There are several pros and cons associated with each platform that need to be discussed before publishing the data to get the maximum outcomes in a sustainable and transparent way. We will discuss seven major open data platforms, such as (1) CKAN (2) DKAN (3) Socrata (4) OpenDataSoft (5) GitHub (6) Google datasets (7) Kaggle. We will evaluate the technological commons, techniques, features, methods, and visualization offered by each tool. In addition, why are these platforms important to users such as providers, curators, and end-users? And what are the key options available on these platforms to publish open data? At the end of this study, an individual will be able to select one of them for their open data initiative to launch the data as open.