Creating value through open data (original) (raw)

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...

The process of open data publication and reuse

Journal of the Association for Information Science and Technology, 2018

Open data movement advocates support to public authorities by making available to society the public information they manage. The data released are identified as open government data and the creation of open data portals supports their commitment through open government policies. The worldwide increase of the open data publication is making more necessary the modelling of its impact on society. This research analyses the process of open data publication starting in the internal systems of the organization and reaching the actual reuse of data in reuser's ecosystem surrounding the open data portals. Different reuser's profiles are identified and described within the reuser's ecosystem. Some key elements of the publication process are presented in order to guarantee sustainability of open data initiatives and to further analyse the social and economic impact.

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.

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.

Open data – an introduction to the issue

ITM Web of Conferences

Rapidly developing of internet technologies and digitalization of government generate more and more data. Databases from various public institutions and private sectors, e.g. in the fields of economics, transport, environment and public safety are publishing in the global Internet network, so that any user can browse them without additional charges. Most of this data is published on the open data portals. Open data - that is, “open”, public data can allow the processing and analysis of information contained in them completely free of charge. This article is an introduction to a fairly new area of issues such as “open data” or “open government”, presents the main mechanisms of accessing to data in public open data portals and also propose a conceptual open data/government model.

Open data concept, its application and experiences

Vojnotehnicki glasnik, 2019

Creating a richer, more equitable and just society requires that governments work in a more transparent and responsible way-to maintain regular and meaningful communication with citizens. Open data is the means to achieve this goal. Open data is digital data available to the public. It has such technical and legal characteristics that anyone, at any time and everywhere can use, re-use and redistribute it. The focus in this paper is data that is easily accessed and used and distributed for free. It is structured for usability and computer analysis. Such data is called publicly available or open data. The paper deals with the basic concepts of Open data, where it is most used, the most important experiences and benefits in its use, how it impacts human lives, which foregoing preconditions have to be met in order to significantly increase the effects of open data, how influence is created with it and the challenges that arise in its use.

Assessing Social Value in Open Data Initiatives: A Framework

Open data initiatives are characterized, in several countries, by a great extension of the number of data sets made available for access by public administrations, constituencies, businesses and other actors, such as journalists, international institutions and academics, to mention a few. However, most of the open data sets rely on selection criteria, based on a technology-driven perspective, rather than a focus on the potential public and social value of data to be published. Several experiences and reports confirm this issue, such as those of the Open Data Census. However, there are also relevant best practices. The goal of this paper is to investigate the different dimensions of a framework suitable to support public administrations, as well as constituencies, in assessing and benchmarking the social value of open data initiatives. The framework is tested on three initiatives, referring to three different countries, Italy, the United Kingdom and Tunisia. The countries have been selected to provide a focus on European and Mediterranean countries, considering also the difference in legal frameworks (civic law vs. common law countries).

Reflections on the Concept of Open Data

Though “open data” is much discussed as a practice, it is much less discussed as a concept. There is consensus that open data is an emerging global social movement—an Open Data Movement—that encourages a shift in behaviour about performing data-centric tasks, such as governing or researching, to make them more connected and collaborative and thereby improve transparency, accountability, research discovery, knowledge access and knowledge co-production. But just what do we mean by the qualifying word “open”? Open data is understood to mean data resources that are: (1) free for people to access; (2) free from most legal constraints on reuse; and (3) put into formats that maximise interoperability and linkage. This definition, however, fails to fully address all the conceptual and policy issues at play in the Open Data Movement. In this analysis piece, I offer some critical reflections on the Open Data Movement and unpack the meaning of “open” data so as to offer a richer understanding of the concept.

The Benefits of Open Data Final Report

The purpose of this research project was to examine the benefits and the challenges of publishing Open Data for government organizations. It is presumed that open and accessible data offers multiple benefits, including improved openness and accountability, as well as an increase in innovation and economic growth. This paper aims to help public organizations make sound and informed decisions for extending their Open Data initiatives by determining the social, economic and environmental benefits of publishing Open Data, thereby creating a more cost-effective, transparent, efficient and responsive government.

Open Data as Universal Service. New perspectives in the Information Profession

Procedia - Social and Behavioral Sciences, 2014

The Internet provides a global information flow, which improves living conditions in poor countries as well as in rich countries. Owing to its abundance and quality, public information (meteorological, geographic, transport information... and also the content managed in libraries, archives and museums) is an incentive for change, becoming invaluable and accessible to all citizens. However, it is clear that Open Data plays a significant role and provides a business service in the digital economy. Nevertheless, it is unknown how this amount of public data may be introduced as universal service to make it available to all citizens in matters of education, health, culture ... In fact, a function or role which has traditionally been assumed by libraries. In addition, information professionals will have to acquire new skills that enable them to assume a new role in the information management: data management (Open Data) and content management (Open Content). Thus, this study analyzes new roles, which will be assumed by new information professionals such as metadata, interoperability, access licenses, information search and retrieval tools and applications for data queries.