Using open data for digital innovation: Barriers for use and recommendations for publishers

Open data from the public sector can fuel the innovation of digital products. This paper investigates barriers and success factors regarding use of open data in such innovations, and how public sector can increase the value of published data. A multimethod approach was used. An initial study identified aspects of relevance through interviews, a system development experiment, and a focus group. An in-depth study used the insight to perform interviews and a survey targeting innovators. Details on data needs, discovery, assessment, and use were found as well as barriers regarding use of open data in digital product innovations. Associated recommendations to data owners are provided regarding how they can increase the innovation capacity through appropriate licenses and service levels; convenient access mechanisms; publishing channels and infrastructures; transparency and dialogue; data, metadata, documentation, and APIs of high quality; harmonization and standardization.

Open science and the academic profession

Open science is considered a new science paradigm to make research accessible, accountable, and effective. Open science is already changing the academic profession starting from micro-practices to professional relations with epistemic communities and stakeholders, with implications that we are not yet able to predict. The article delves first into literature and official documentation to unfold the discursive regimes which sustain the spread of open science. A specific focus is then devoted to the professional transition, highlighting the role of funding organizations in setting the new science environment and the subjective experience of academics. The article is completed by a case study in the field of Research Data Management where the misalignment among incumbent/changing processes can be more apparent. Finally, a research agenda that focuses on how academic micro-practices are affecting organizations and science structures is proposed. This article aims at beginning to plow the ground for new research directions to emerge.

Towards value-creating and sustainable open data ecosystems: A comparative case study and a research agenda

Current open data systems lag behind in their promised value creation and sustainability. The objective of the current study is twofold: 1) to investigate whether existing open data systems meet the requirements of open data ecosystems, and 2) to develop a research agenda that discusses the gaps between current open data systems on the one hand and participatory, value-creating, sustainable open data ecosystems on the other hand. The literature reveals that the main characteristics of value-creating, sustainable open data ecosystems are user-drivenness, inclusiveness, circularity, and skill-based. Our comparative case study of five open data systems in various application domains and countries highlighted that none of these systems are real open data ecosystems: they often do not balance open data supply and demand, exclude specific user groups and domains, are linear, and lack skill-training. We elaborate on a research agenda that discusses how research should address the challenge of making open data ecosystems more value-generating and sustainable.

Coproducing spatial information: Exploring government approaches and motivations at the local level

Recent government initiatives like e-government and open government have led to broader adoption of geospatial tools including mapping platforms to access, use, and analyze open data. These advancements open channels for coproduction in the form of sharing information, change notifications, opinions, or requests to government, based on citizen observation and local knowledge. Though current government initiatives have substantial potentials for coproduction, the practical adoption and implementation of such practices vary reflecting the purposes, contexts, and motivations of those involved. This paper aims to understand how local governments are following different approaches to coproduce information with citizens and what motivates local governments in this process. We report findings based on interviews with 11 cities from the USA and Canada, which reveal four main approaches: the collection of new data, observation of changes, collection of opinions, and observation of preferences involving both explicit and implicit processes. Although these four approaches result from interactions between citizens and government, our findings also indicate a key role to be played by technology and partner organizations.

A roadmap to becoming a smart village: Experiences from living labs in rural Bavaria

This paper illustrates the measures and digital integrations being made in the course of digitalization, using the example of existing rural pilot communities in Bavaria, Germany. The participating communities were selected as part of the government-funded project "Digitales Dorf" (Engl. digital village). Since 2016, digital solutions as well as complementary actions have been identified and implemented to make everyday life in the community equal to that in the city: the main intention is to push digitalization to create equivalent living conditions to urban areas. This paper is intended to provide an overview of the requirements and steps that need to be taken in digital transformation, in order to develop a generalized blueprint for other communities. Furthermore, it introduces the pilot projects, provides an insight into best practices to promote digitalization in traditional rural areas, and focuses on the transformation process rather than on digital solutions.

Value generation from open government data in the public sector: Development and validation of a multidimensional scale

The use of open government data by governments can create opportunities and drive the digital transformation of the public sector. However, there is no integrative measure that assesses the factors that enable public organizations to effectively utilize open government data. The objective of this research was to develop and validate an instrument to assess the factors related to value generation from the use of open government data in the public sector. The construction of the scale was a three-step process. First, the items were structured. Next, a pilot study was performed. Lastly, the instrument was validated. The results indicate that the measure of value generation from the use of open government data is a multidimensional construct, which presents promising implications for future research. This study contributes by developing an instrument that can serve as an analysis tool that will aid public managers who are interested in utilizing open government data.

Mechanisms underpinning the usage of e-government services by businesses: A proposal based on previous empirical research

For many years, the public sector has been undergoing digital transformation. Information and communication technologies (ICT) have offered new ways of interaction between governments and their constituents. However, governments face different challenges to migrate users towards digital channels and electronic documents, which are believed to be more cost-efficient for all stakeholders. Despite a plethora of empirical research conducted towards the identification of factors that influence e-government services usage by businesses, there seems to be a lack of 'holistic' understanding in the absence of systematic literature reviews. This paper aims to contribute by hypothesizing a set of mechanisms based on a critical realist process of retroduction. We argue that the factors identified in previous research are a manifestation of mechanisms. Such mechanisms might explain businesses’ usage of ICT when interacting with governments, whether in the context of incidental situations or regular administrative tasks (through online self-service applications) or regular exchange of information (through inter-organizational e-services).

Towards open government through open source software for web analytics: The case of Matomo

Web analytics technologies provide opportunities for organisations to obtain information about users visiting their websites in order to understand and optimise web usage. Use of such technologies often leads to issues related to data privacy and potential lock-in to specific suppliers and proprietary technologies. Use of open source software (OSS) for web analytics can create conditions for avoiding issues related to data privacy and lock-in, and thereby provides opportunities for a long-term sustainable solution for organisations both in the public and private sectors. The paper characterises use of and engagement with OSS projects for web analytics. Specifically, we contribute a characterisation of use of OSS licensed web analytics technologies in Swedish government authorities, and a characterisation of organisational engagement with the Matomo OSS project for web analytics.