Open data marketplaces have emerged as a mode of addressing open data adoption barriers. However, knowledge of how such marketplaces affect digital service innovation in open data ecosystems is ...limited. This paper explores their value proposition for open data users based on an exploratory case study. Five prominent perceived values are identified: lower task complexity, higher access to knowledge, increased possibilities to influence, lower risk and higher visibility. The impact on open data adoption barriers is analyzed and the consequences for ecosystem sustainability is discussed. The paper concludes that open data marketplaces can lower the threshold of using open data by providing better access to open data and associated support services, and by increasing knowledge transfer within the ecosystem.
The Open Kimono Berrone Pascual; Ricart, Joan E; Carrasco, Carlos
California management review,
11/2016, Letnik:
59, Številka:
1
Journal Article
Recenzirano
The article presents a framework for exploring the drivers, structure, and dynamics of open data initiatives in the city context. Drawing on a case study of the city of Barcelona complemented with ...other cases, it develops a stepwise framework that can serve as a practical guide for both urban and private leaders to implement open data strategies. Following this model can enable managers to minimize risk and effectively harness the power of open data.
Los datos abiertos son una infraestructura básica para la creación de negocios y de productos y servicios. Para hacer un análisis de su utilidad hay que tener en cuenta que no es igual el acceso a ...los mismos y su difusión que su reutilización. El objetivo de este trabajo es analizar como el modelo de cinco estrellas de Berners-Lee y otros factores ayudan a evaluar la calidad de los datos de cara a su reutilización en el portal de datos abiertos de Barcelona y analizar su relación con su descarga y sus temáticas. Los resultados obtenidos muestran que puede ser interesante incorporar aspectos como la frecuencia de actualización de datos y la geolocalización en los modelos que miden la calidad de los datos abiertos para su reutilización.
Open data are currently a hot topic and are associated with realising ambitions such as a more transparent and efficient government, solving societal problems, and increasing economic value. To ...describe and monitor the state of open data in countries and organisations, several open data assessment frameworks were developed. Despite high scores in these assessment frameworks, the actual (re)use of open government data (OGD) fails to live up to its expectations. Our review of existing open data assessment frameworks reveals that these only cover parts of the open data ecosystem. We have developed a framework, which assesses open data supply, open data governance, and open data user characteristics holistically. This holistic open data framework assesses the maturity of the open data ecosystem and proves to be a useful tool to indicate which aspects of the open data ecosystem are successful and which aspects require attention. Our initial assessment in the Netherlands indicates that the traditional geographical data perform significantly better than non-geographical data, such as healthcare data. Therefore, open geographical data policies in the Netherlands may provide useful cues for other OGD strategies.
•A MF model with Linked Open Data is developed to handle data sparsity issue.•Hidden data and LOD similarity measure are integrated to enhance recommendations.•The proposed framework can be applied ...to any domain for recommendations.•Experiments were done on Netflix and Movie Lens datasets for validation.
The web contains a huge volume of data, and it's populating every moment to the point that human beings cannot deal with the vast amount of data manually or via traditional tools. Hence an advanced tool is required to filter such massive data and mine the valuable information. Recommender systems are among the most excellent tools for such a purpose in which collaborative filtering is widely used. Collaborative filtering (CF) has been extensively utilized to offer personalized recommendations in electronic business and social network websites. In that, matrix factorization is an efficient technique; however, it depends on past transactions of the users. Hence, there will be a data sparsity problem. Another issue with the collaborative filtering method is the cold start issue, which is due to the deficient information about new entities. A novel method is proposed to overcome the data sparsity and the cold start problem in CF. For cold start issue, Recommender System with Linked Open Data (RS-LOD) model is designed and for data sparsity problem, Matrix Factorization model with Linked Open Data is developed (MF-LOD). A LOD knowledge base “DBpedia” is used to find enough information about new entities for a cold start issue, and an improvement is made on the matrix factorization model to handle data sparsity. Experiments were done on Netflix and MovieLens datasets show that our proposed techniques are superior to other existing methods, which mean recommendation accuracy is improved.
While open government partnerships and open government data initiatives around the world have proliferated in practice, empirical research is required to better understand open data policy and open ...data portal capability which would spur meaningful citizen engagement towards co-production of open services innovation through open data reuse. Specifically, relatively little has been empirically investigated about open data portal as supply-side service capabilities at the local government level. In this longitudinal research on twenty open data portals in Australia's largest cities, cross-sector analysis results find large variation in open data portal service capabilities, which are measured by open data policy intensity, open data provision, data format variety, and entrepreneurial data services, including analytics tools, data modeling, and hackathon idea competitions. Longitudinal cross-sector analysis results also find the important roles played by open data policy and dedicated open data portal investment as predictors of open data portal service capability improvements over time.
•Provides a longitudinal cross-sector analysis of open government data portals in Australian local governments•Empirically examines open data portals as supply-side portal service capability•Empirically examines open data policy intensity, open data provision, data format variety, and entrepreneurial data services•Results indicate large variations in 20 local government portal capabilities, with noticeable leaders and laggards•The leaders developed open data policy intensity which helped the development of open data portal service capabilities over time.
Purpose
To create the expected value and benefits through open data, appropriate provision and usage of data are required simultaneously. However, the level of provision and usage of open data ...differs from country to country. Moreover, previous research on open data has only focused on either open data provision or usage. To fill the research gap, the purpose of this paper is threefold: first, to understand the current status of the provision and usage of open data; second, to identify patterns in the provision and usage of open data; and third, to provide appropriate future directions and guidelines for the transformation paths of each pattern.
Design/methodology/approach
The authors analyzed the data collected from open data portals of 13 countries that provide information on the provision and usage of open data together.
Findings
The authors identified four patterns of the provision and usage of open data, namely, availability-driven, government-driven, market-driven and interaction-driven patterns. Furthermore, three strategic paths of transformation reach a high level of open data provision and usage, namely, data provision-focused, data usage-focused and balanced transformation paths.
Originality/value
This study provides a foundation that enables researchers to build a holistic theory that can integrate fragmented and incomplete knowledge of open data and usage, particularly in the context of government.
Open government data (OGD) has been introduced relatively recently in Gulf Cooperation Council Countries (GCC Countries). However, progress has been significantly less than either hoped for or ...expected. The purpose of this research is to explore the reasons for this lack of progress. To do so, the attitudes and views of a range of senior government department (OGD-related) personnel were sought, using semi-structured interviews, and the results examined using thematic analysis. Unlike existing studies, which focus on external barriers to progress, this study focuses on internal factors which can result in a lack of progress to implementation, such as leadership attitudes, organisational culture and fear of failure. The findings show that considerable changes are required at both an ideological and practical level, if the gap between expectation and reality is to be closed. The paper concludes with recommendations of specific actions that can be taken to close this gap and the identification of areas where further study would be useful.
•Highlights the most commonly occurring usability issues associated with open government data portals.•Validates a framework for conducting open government data portal usability analysis.•Provides an ...initial ranking of open government data portal usability.•Identifies commonly occurring open government data portal usability weaknesses.•The paper presents a usability study of 41 different unique open government data portals.
Open government data, as a phenomena, may be considered an important and influential innovation that has the potential to drive the creation of public value via enabling the prevention of corruption, increase in accountability and transparency, and driving the co-creation of new and innovative services. However, in order for open government data to be fully taken advantage of, it must be found, understood, and used. Though many countries maintain open government data portals, the usability of said portals can vary greatly; this is important to understand as the usability of a portal likely impacts the eventual reuse of the data made available there. Acknowledging the importance of portal usability to the data reuse process, this paper helps to elucidate some initial insights by asking two questions: “How can the usability of open government data portals be evaluated and compared across contexts?” and “What are the most commonly missing usability aspects from open government data portals?”. In order to answer these research questions, a subset of 41 national open government data portals were selected for an in-depth usability analysis drawing on the feedback from 40 individual users. As a result of this analysis, the paper is able to make three primary contributions: (1) the validation of a framework for open government data portal usability analysis, (2) develops an initial comparative international ranking of open government data portal usability, and (3) identifies commonly occurring portal usability strengths and weaknesses across contexts.
Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous ...analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on Open Data Business Models (ODBMs) are predominantly in the practice community. This shortcoming has resulted in a growing list of ODBMs which, on closer examination, are not clearly delineated and lack clear value orientation. This has made the understanding of value creation and exploitation mechanisms in existing open data businesses difficult and challenging to transfer. Following the Design Science Research (DSR) tradition, we developed a 6-Value (6-V) business model framework as a design artifact to facilitate the explication and detailed analysis of existing ODBMs in practice. Based on the results from the analysis, we identify business model patterns and emerging core value disciplines for open data businesses. Our results not only help streamline existing ODBMs and help in linking them to the overall business strategy, but could also guide governments in developing the required capabilities to support and sustain the business models.
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