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This paper aims to analyse extant literature on open data, distinguish and categorize the strands of public accountability research and use the results to provide better clarity in the concept of open data-driven public accountability.

Systematic review of 135 open data articles and 155 accountability articles from the e-government reference library. A multi-stage analysis results in 12 articles which are categorized using Bovens’ (2007) accountability theory of information, discussion and consequences. Conceptual development, using the literature analysis, forms the final section of the paper.

Research demonstrates that a range of open data topics has been advanced. However, just 12 articles exist that simultaneously address open data and accountability theory. Of the total 155 public accountability articles, the preponderant focus is on the information (N = 25) and discussion (N = 7) stages of the accountability process. Just one article focuses on the complete accountability process. To address this problem, the characterization of open (government) data-driven public accountability establishes conceptual crispness and clarity.

Public accountability theory on open government has become overshadowed by social and economic value perspectives. This paper clarifies and advances the open data-driven public accountability perspective. It takes stock of public accountability research, delimits the key issues and questions and highlights the next steps needed for developing scholarship.

Many governments are working toward a vision of government-wide transformation that strives to achieve an open, transparent and accountable government while providing responsive services. The purpose of this paper is to clarify the concept of transparency-by-design to advance open government.

The opening of data, the deployment of tools and instruments to engage the public, collaboration among public organizations and between governments and the public are important drivers for open government. The authors review transparency-by-design concepts.

To successfully achieve open government, fundamental changes in practice and new research on governments as open systems are needed. In particular, the creation of “transparency-by-design” is a key aspect in which transparency is a key system development requirement, and the systems ensure that data are disclosed to the public for creating transparency.

Although transparency-by-design is an intuitive concept, more research is needed in what constitutes information and communication technology-mediated transparency and how it can be realized.

Governments should embrace transparency-by-design to open more data sets and come closer to achieving open government.

Transparency-by-design is a new concept that has not given any attention yet in the literature.

This research systematically analyzed the effect of leadership (coaches and owners) on organizational performance in the National Football League (NFL) during the 1970 through 1992 seasons. In addition, it examined the relation of stable individual differences in personality of NFL leaders with performance outcomes for both coaches and owners. Results revealed that leadership added substantially to the prediction of performance in the NFL, even after controlling for non-leadership variables such as quality of competition and year. Furthermore, one facet of Conscientiousness – Deliberateness – showed strong linear relations with all performance measures. The results of both studies also revealed that hierarchical level of leadership was an important moderator, with coaches having greater impact than owners. The desirability of studying leadership in the context of the NFL was recognized and suggestions were provided on the direction that research might take.

The purpose of this paper is twofold: first, assess the effects of the peers’ recovery narratives on service users’ perceived mental health recovery; and second, explore various stakeholders’ perspectives on the program, specifically its facilitators and barriers.

The study used a convergent mixed-method design. First, a pre-test post-test design was used with service users to evaluate the peer recovery narrative program. They completed the Recovery Assessment Scale (RAS) and participated in qualitative interviews that explored perspectives on their mental health recovery before and after the program. Second, a cross-sectional design was used to explore stakeholder groups’ perspectives on the recovery narrative program immediately after listening to the narratives.

While findings show that there was no statistical difference between scores on the RAS before and after the peer narratives, thematic analysis revealed a change in service users’ understanding of recovery post-narratives. Other stakeholder groups confirmed this change. However, some healthcare professionals questioned the universal positive effects of the peer recovery narrative program on service users. Stakeholders agreed that beyond effects of the peer recovery narrative program on service users, there were also positive effects among the peers themselves.

To the authors’ knowledge, this is the first Canadian study, and one of the first studies to rely on mixed-methods and various stakeholder groups to evaluate the impact of peer recovery narratives on service users. The research, thus, fills a knowledge gap on peer recovery narratives.