| 1. |
- Grönlund, Åke, 1954-, et al.
(författare)
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A communication genre perspective on e-petitioning : the case of the Citizens' Initiative
- 2012
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Ingår i: Electronic participation. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642332494 - 9783642332500 ; , s. 37-48
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Konferensbidrag (refereegranskat)abstract
- The European Citizens’ Initiative is designed to make European democracy more direct by allowing citizens to propose (including electronically) legal acts to the Commission. The present paper offers a conceptual model for the analysis of this eParticipation case, and other similar e-petitioning practices, which is not biased by political ambition or technological determinism. The operational framework proposed aims to understand the nature of communication between citizens, governments, and the civil society among other stakeholders in the contemporary media landscape by using the concept of genre systems for this purpose.
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| 2. |
- Kolkowska, Ella, 1972-, et al.
(författare)
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Data sharing mechanisms and privacy challenges in Data Collaboratives : Delphi study of most important issues
- 2017
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Konferensbidrag (refereegranskat)abstract
- In this paper we explore the concept of ‘data collaboratives’ – cross sector partnerships to leverage new sources of digital data for addressing societal problems. Many of these new sources of digital data, such as “data exhaust” from mobile apps, search engines, personal sensors, are collected by companies. The paper identifies and defines the most important privacy challenges that need to be addressed in the context of data collaboratives. It provide guidance on how data can be successfully shared in data collaboratives while respecting data protection interests
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| 3. |
- Susha, Iryna, 1986-, et al.
(författare)
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A Collaborative Governance Approach to Partnerships Addressing Public Problems with Private Data
- 2019
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Ingår i: Proceedings of the 52nd Hawaii International Conference on System Sciences. ; , s. 2892-2901
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Konferensbidrag (refereegranskat)abstract
- The recent explosion of data, which is generated, collected, and exchanged, opens up new opportunities and poses new challenges.Actors in different sectors have recently began to explore how they can work together and leverage these data to help address ‘wicked’ problems.A novel form of cross sector partnership emerges, labelled “data collaborative”, which is normally focused on accessing private sector data and using it to address complex public problems.While there is emerging knowledge about how data can be shared in such partnerships, less is known about the collaboration dynamics of these partnerships.In this paper, we examine this problem from the perspective of collaborative governance and propose a framework for understanding collaboration around data sharing for public good.
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| 4. |
- Susha, Iryna, 1986-, et al.
(författare)
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A Research Roadmap to Advance Data Collaboratives Practice as a Novel Research Direction
- 2018
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Ingår i: International Journal of Electronic Government Research. - : IGI Global. - 1548-3886 .- 1548-3894. ; 14:3, s. 1-11
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Tidskriftsartikel (refereegranskat)abstract
- An increasing number of initiatives have emerged around the world to help facilitate data sharing and collaborations to leverage different sources of data to address societal problems. They are called “data collaboratives”. Data collaboratives are seen as a novel way to match real life problems with relevant expertise and data from across the sectors. Despite its significance and growing experimentation by practitioners, there has been limited research in this field. In this article, the authors report on the outcomes of a panel discussing critical issues facing data collaboratives and develop a research and development agenda. The panel included participants from the government, academics, and practitioners and was held in June 2017 during the 18th International Conference on Digital Government Research at City University of New York (Staten Island, New York, USA). The article begins by discussing the concept of data collaboratives. Then the authors formulate research questions and topics for the research roadmap based on the panel discussions. The research roadmap poses questions across nine different topics: conceptualizing data collaboratives, value of data, matching data to problems, impact analysis, incentives, capabilities, governance, data management, and interoperability. Finally, the authors discuss how digital government research can contribute to answering some of the identified research questions.
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| 5. |
- Susha, Iryna, 1986-, et al.
(författare)
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Benchmarks for evaluating the progress of open data adoption : usage, limitations, and lessons learnt
- 2015
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Ingår i: Social science computer review. - : SAGE Publications. - 0894-4393 .- 1552-8286. ; 33:5, s. 613-630
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Tidskriftsartikel (refereegranskat)abstract
- Public organizations release their data for use by the public to open the government. Various benchmarks for evaluating the progress of open data adoption have emerged recently. In order to help bring about a better understanding of the common and differentiating elements in open data benchmarks and to identify the methodologies and metrics affecting their variation, this article compares open data benchmarks and describes lessons learned from their analysis. An interpretive meta-analysis approach was used and five benchmarks were compared with regard to metadata (key concepts, themes, and metaphors), meta-methods (methodologies underlying the benchmarks) and metatheories (theoretical assumptions at the foundation of the benchmarks). It was found that each benchmark has its strengths and weaknesses and is applicable in specific situations. Since the open data benchmarks have a different scope and focus and use different methodologies, they produce different results in terms of country ranks. There is an obvious gap in both the literature and benchmarks regarding the evolution of end-user practices and individual adoption of open data. Furthermore, lessons are drawn for the development of more comprehensive open data benchmarks and open government evaluation in general.
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| 6. |
- Susha, Iryna, 1986-, et al.
(författare)
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Context clues for the stall of the Citizens' Initiative : lessons for opening up e-participation development practice
- 2014
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Ingår i: Government Information Quarterly. - : Elsevier BV. - 0740-624X .- 1872-9517. ; 31:3, s. 454-465
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Tidskriftsartikel (refereegranskat)abstract
- The European Union recently launched an innovative participatory mechanism allowing its citizens across Europe get together and set the agenda for policy-making in Brussels. The tool - the European Citizens' Initiative - was labelled as "most direct and digital" ever in the history of European democratic experimentation as it made it possible to collect signatures (of which it is required not less than 1 million) in favour of an initiative via the internet (e-collection). Launched on I April 2012 the ECI was met with major enthusiasm in Brussels, but soon stumbled over serious difficulties as the organisers on the ground were unable to set up their online collection systems. The present paper looks into this ICT-related crisis from the point of reference of e-democracy theory based on the findings of a qualitative case-study. As a deliverable, it offers an understanding of factors and stakeholder rationales which shaped the design and implementation of the digital dimension of the ECI (iECI). (C) 2014 Elsevier Inc. All rights reserved.
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| 7. |
- Susha, Iryna, 1986-, et al.
(författare)
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Critical Factors for Open Data Publication and Use : A Comparison of City-level, Regional, and Transnational Cases
- 2015
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Ingår i: eJournal of eDemocracy & Open Government. - : Danube-University Krems. - 2075-9517. ; 7:2, s. 94-115
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Tidskriftsartikel (refereegranskat)abstract
- There is a lack of research concerning the factors influencing the success or failure of open data initiatives. Based on the results of two workshops, we provide a list of 47 success factors for open data publication and 18 success factors for open data use. We further use three case studies (ENGAGE, Open NY, and Open Vienna) to examine how the criticality of factors varies depending on the geographical level and other characteristics of the open data initiative. The cases, representing open data initiatives at city, regional and transnational levels, point at different categories of critical success factors. Our key conclusions are that 1) the criticality of the factors depends considerably on the context of the open data initiative; 2) a number of success factors appear to be more universally applicable than others; 3) the factors that are critical to all three cases are derived from many different success factor categories, which suggests that open data initiatives should adopt an interdisciplinary approach, and 4) further work is needed to detail the success factors for open data publication and use in other contexts.
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| 8. |
- Susha, Iryna, 1986-, et al.
(författare)
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Data Collaboratives : How to Create Value from Data for Public Problem Solving?
- 2017
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Ingår i: Proceedings of ACM dg.o conference. - New York, NY, USA : ACM Digital Library. - 9781450353175 ; , s. 604-606
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Konferensbidrag (refereegranskat)abstract
- This panel is dedicated to the theme of ‘data collaboratives’, a novel form of public private partnership to leverage data for addressing societal challenges. The panel brings together prolific researchers and practitioners to share lessons and discuss how value is created from data collaboratives for the solving of public problems. The panel will highlight prominent examples of data collaboratives at international, national, and regional/city-levels and discuss the value creation mechanisms underlying them, as well as more broadly best practices and challenges associated with data collaboratives. The panel offers an opportunity for conference attendees to engage with this emerging new theme through interactive discussions and presentations of cutting-edge research and practice.
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| 9. |
- Susha, Iryna, 1986-, et al.
(författare)
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Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data : Taxonomy Development
- 2017
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Ingår i: Proceedings of the 50th Hawaii International Conference on System Sciences. - : IEEE. - 9780998133102 ; , s. 2691-2700
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Konferensbidrag (refereegranskat)abstract
- Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these emerging practices. This paper seeks to develop a taxonomy of forms of data collaboratives. The taxonomy consists of six dimensions related to data sharing and eight dimensions related to data use. Our analysis shows that data collaboratives exist in a variety of models. The taxonomy can help organizations to find a suitable form when shaping their efforts to create public value from corporate and other data. The use of data is not only dependent on the organizational arrangement, but also on aspects like the type of policy problem, incentives for use, and the expected outcome of data collaborative.
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| 10. |
- Susha, Iryna, 1986-, et al.
(författare)
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Data collaboratives as “bazaars”? : A review of coordination problems and mechanisms to match demand for data with supply
- 2017
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Ingår i: Transforming Government. - : Emerald Group Publishing Limited. - 1750-6166 .- 1750-6174. ; 11:1, s. 157-172
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: In “data collaboratives”, private and public organizations coordinate their activities to leverage data to address a societal challenge. This paper aims to focus on analyzing challenges and coordination mechanisms of data collaboratives.Design/methodology/approach: This study uses coordination theory to identify and discuss the coordination problems and coordination mechanisms associated with data collaboratives. The authors also use a taxonomy of data collaborative forms from a previous empirical study to discuss how different forms of data collaboratives may require different coordination mechanisms.Findings: The study analyzed data collaboratives from the perspective of organizational and task levels. At the organizational level, the authors argue that data collaboratives present an example of the bazaar form of coordination. At the task level, the authors identified five coordination problems and discussed potential coordination mechanisms to address them, such as coordination by negotiation, by third party, by standardization, to name a few.Research limitations/implications: This study is one of the first few to systematically analyze the phenomenon of “data collaboratives”.Practical implications: This study can help practitioners better understand the coordination challenges they may face when initiating a data collaborative and to develop successful data collaboratives by using coordination mechanisms to mitigate these challenges.Originality/value: Data collaboratives are a novel form of data-driven initiatives which have seen rapid experimentation lately. This study draws attention to this concept in the academic literature and highlights some of the complexities of organizing data collaboratives in practice.
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