How to Ensure the Economic Viability of an Open Data Platform (original) (raw)

Business models for open government data

Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance, 2014

The commercial re-use of open government data is broadly expected to generate economic value. However, the practice and study of this trend is still in its infancy. In particular, the issue of value creation in the commercial re-use open government data remains largely unknown. This study aims to further understand how open government data is used to develop commercial products and services. Grounded in the comprehensive data obtained from a sample of 500 U.S. firms that use open government data as part of their business model, we propose a taxonomy that encompasses three business model archetypes (enablers, facilitators, and integrators). Furthermore, we discuss the value proposition of each business model archetype, and subsequently present a framework that describes the value created in the context of the open government data ecosystem. Our framework can be used by both scholars and practitioners in the field of open government data to effectively frame the debate of the value created by the commercial re-use of open government data. Simultaneously, our work can be of benefit to entrepreneurs as it provides a systematic overview, as well as practical insights, of the growing use of open government data in the private sector.

AO 05 Business models adopted by intermediaries in the use of open government data

2016

After the adoption of open data policies by governments around the world, new business models began to explore the databases opened and create new products and services that may or not generate revenue for its providers. From this scenario, this study aimed to understand the business models adopted by service providers that use open government databases or databases built from public data and data captured by tools resulting from these new products and services. Therefore, we analyzed seven cases of businesses awarded in prizes that had evaluation criteria such as innovation, technology and services to the population. This qualitative study aimed to identify evidences of phenomena relating to the use of open government databases, the participation of these service providers in the open government data value chain and features present in their business models that could be replicated in new cases. The main findings revealed that business models need to create databases that standardi...

Exploring the economic value of open government data

Government Information Quarterly, 2016

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.

Emerging business models for the open data industry

Proceedings of the 15th Annual International Conference on Digital Government Research - dg.o '14, 2014

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 are predominantly in the practice community. This shortcoming has resulted in a growing list of open data business models which, on closer examination, are not clearly delineated and lack clear value orientation. We address this problem by 1) consolidating reported open data business models in both academic and practice literature, 2) describe the models based on a business model framework, and 3) determine open data business models patterns. In addition, we identified the emerging core value disciplines for open data businesses. Our results help to streamline existing useful models, and link them to the overall business strategy through value disciplines.

Open Innovation, Open Data and new Business Models

Open government data are the result of as well as the preconditions for open government. Data made publically accessible are an important basis for creating added value for society as a whole. Open data business models support entrepreneurs in reusing and combining available open data sources to provide value-added services. Three cases show how open data business models can be realized.

Open Data: Barriers, Risks and Opportunities

Despite the development of Open Data platforms, the wider deployment of Open Data still faces significant barriers. It requires identifying the obstacles that have prevented e-government bodies either from implementing an Open Data strategy or from ensuring its sustainability. This paper presents the results of a study carried out between June and November 2012, in which we analyzed three cases of Open Data development through their platforms, in a medium size city (Rennes, France), a large city (Berlin, Germany), and at national level (UK). It aims to draw a clear typology of challenges, risks, limitations and barriers related to Open Data. Indeed the issues and constraints faced by re-users of public data differ from the ones encountered by the public data providers. Through the analysis of the experiences in opening data, we attempt to identify how barriers were overcome and how risks were managed. Beyond passionate debates in favor or against Open Data, we propose to consider the development of an Open Data initiative in terms of risks, contingency actions, and expected opportunities. We therefore present in this paper the risks to Open Data organized in 7 categories: (1) governance, (2) economic issues, (3) licenses and legal frameworks, (4) data characteristics, (5) metadata, (6) access, and skills.

Creating value through open data

2014

Open data: definitions, basic concepts and general characteristics of the phenomenon. Technical aspects: creating and disseminating data. Benefits and obstacles of open data. The new business models of open data. Voglioilruolo: an Italian success case about public data reuse.

The Open Data Canvas–Analyzing Value Creation from Open Data

Digital Government: Research and Practice

Expectations to derive value from open data are high. However, how value is created from open data is still largely unknown. Open data value is usually generated in constellation of actors in which each player has different capabilities and roles. To understand the open data value creation process, the business model canvas is introduced in this article. The typical components of the business model canvas and open data value creation are derived from the literature. By combining these two research streams, the open data value model canvas is created. The case of Coronavirus disease 2019 (COVID-19) worldwide dashboard developed by the Johns Hopkins University is used to evaluate the model's utility. Key components of the open data value model are creating an overview of various data sources from public and private organizations, having capabilities to combine heterogeneous data, and connecting data and needs. In this way, the open data canvas helps to grasp the value creation logic.

Licentiate thesis: Public sector open data - Shaping an arena for innovation and value creation

This research initially sprung out of a natural curiosity for the emerging phenomenon of open data with its combination of democratic perspectives, since it is based on freedom of information legislation, and its potential for a multitude of citizen driven innovations. Research showed that while open data repeatedly was being envisioned for having immense potential of leading to a multitude of innovations and societal impacts, most of the attention still remained on challenges related to enable a broad realisation of open data, that is, putting more data on the web. At the same time, research and reports indicated that open data was a more complex matter than expected, and that the release of open data was guarded by myths saying that opening up of data equalled instant benefits from open data use, and that open data initiatives were emerging too slowly. In general, the understanding of how to address open data so that the envisioned innovative potential was enabled remained a press...

Generating value from open government data

A driving force for change in society is the trend towards Open Government Data (OGD). While the value generated by OGD has been widely discussed by public bodies and other stakeholders, little attention has been paid to this phenomenon in the academic literature. Hence, we developed a conceptual model portraying how data as a resource can be transformed to value. We show the causal relationships between four contextual, enabling factors, four types of value generation mechanisms and value. We use empirical data from 61 countries to test these relationships, using the PLS method. The results mostly support the hypothesized relationships. Our conclusion is that if openness is complemented with resource governance, capabilities in society and technical connectivity, use of OGD will stimulate the generation of economic and social value through four different archetypical mechanisms: Efficiency, Innovation, Transparency and Participation.