72 research outputs found
Data collaboratives as “bazaars”? : A review of coordination problems and mechanisms to match demand for data with supply
No full textPurpose: 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.Data collaboratives as a new form of innovation for addressing societal challenges in the age of dat
Data Collaboratives: How to create value from data for public problem solving? Panel
No full textThis 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.Information and Communication Technolog
Data Collaboratives: Trusted Data Intermediary Business Models
No full textTo address complex societal issues, cross-sector partnerships are needed that specifically aim to create value to address such challenges. Data collaboratives are initiatives that encourage and promote such partnerships, by the collection, sharing, or processing of data. Data collaboratives are faced with barriers that complicate collaboration between data contributors and data users. As a result, the potential of public value creation is not being reached. To overcome these barriers, decision-makers in data collaboratives need a better understanding of the Trusted Data Intermediary as a coordination mechanism. Trusted Data Intermediaries are entities entrusted with enabling data transactions between data contributors and data users across sectors, thereby generating value for collaborators, and enabling the creation of public value. Currently, academic knowledge on how these intermediary entities is absent. By a qualitative, exploratory multiple-case study, descriptive business models of six cases are developed and analyzed. From the analysis, it was found that Trusted Data Intermediaries implement different business models, depending on their characteristics in specialization to specific segments of data contributors and users. Further, the implementation may depend on the profit motive and chosen centrality of data storage. Based on these dependencies, two Trusted Data Intermediaries' business model archetypes are developed: the Generic archetype and the Specialized archetype. In addition, variations to these archetypes are discussed. As the two archetypes offer an initial theory on Trusted Data Intermediaries, next steps may include the testing of the archetypes on more cases, as well as extending the theory for Trusted Data Intermediaries with other characteristics.Engineering and Policy Analysi
Creating value through data collaboratives: Balancing innovation and control
No full textDriven by the technological capabilities that ICTs offer, data enable new ways to generate value for both society and the parties that own or offer the data. This article looks at the idea of data collaboratives as a form of cross-sector partnership to exchange and integrate data and data use to generate public value. The concept thereby bridges data-driven value creation and collaboration, both current themes in the field. To understand how data collaboratives can add value in a public governance context, we exploratively studied the qualitative longitudinal case of an infomobility platform. We investigated the ability of a data collaborative to produce results while facing significant challenges and tensions between the goals of parties, each having the conflicting objectives of simultaneously retaining control whilst allowing for generativity. Taken together, the literature and case study findings help us to understand the emergence and viability of data collaboratives. Although limited by this study’s explorative nature, we find that conditions such as prior history of collaboration and supportive rules of the game are key to the emergence of collaboration. Positive feedback between trust and the collaboration process can institutionalise the collaborative, which helps it survive if conditions change for the worse.Organisation & Governanc
ENT audit and research in the era of trainee collaboratives
No full text\ua9 2018 The Author(s) Large surgical audits and research projects are complex and costly to deliver, but increasingly surgical trainees are delivering these projects within formal collaboratives and research networks. Surgical trainee collaboratives are now recognised as a valuable part of the research infrastructure, with many perceived benefits for both the trainees and the wider surgical speciality. In this article, we describe the activity of ENT trainee research collaboratives within the UK, and summarise how INTEGRATE, the UK National ENT Trainee Research Network, successfully delivered a national audit of epistaxis management. The prospective audit collected high-quality data from 1826 individuals, representing 94% of all cases that met the inclusion criteria at the 113 participating sites over the 30-day audit period. It is hoped that the audit has provided a template for subsequent high-quality and cost-effective national studies, and we discuss the future possibilities for ENT trainee research collaboratives
A Research Roadmap to Advance Data Collaboratives Practice as a Novel Research Direction
No full textAn 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.Funding Agency:EC 676247 VRE4EIC</p
Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data: Taxonomy Development
No full textData 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
Agri-environmental collaboratives for landscape management in Europe
No full textCollaboration among farmers is increasingly recognised as beneficial for successful agri-environmental management. This paper reviews the recent literature on agri-environmental collaboration in Europe and compiles benefits, limitations and ways to encourage collaboration. Examples presented are situated along a spectrum from coordination to collaboration. While coordination seems to be easier and less costly to achieve than collaboration and may suffice for certain objectives, some benefits such as increasing social capital and the sustainable management of the wider landscape only occur with collaboration. Existing collaboratives have broader goals that may not neatly map onto objectives of agri-environment schemes. This inherent tension may be easier to address through regional or local schemes
Community-Based Collaboration: A Philanthropic Model for Positive Social Change
No full text· A highly publicized incident served as a catalyst for the Austin, Texas, community, convened by the Hogg Foundation for Mental Health, to address gaps in the behavioral health system.
· The foundation worked with the local behavioral health authority, the mayor’s office, police and sheriff’s departments, and the city health department to design the Austin Mayor’s Mental Health Task Force. The task force was succeeded by a monitoring committee that identified six focus areas in which to develop action plans and monitor community progress.
· This collaborative process aimed to strengthen public commitment to behavioral health services and create a cross-agency planning structure to make concrete improvements in the existing service delivery systems.
· Fourteen indicators were compiled into a Mentally Healthy Community Score Card, including indicators related to positive behavioral health, such as fitness, housing, and employment. Of the 14 scored indicators, 78 percent showed improvement between 2005 and 2006.
· System change outcomes included improved quality and access to data, greater public awareness of mental health issues, and the development of new programs, including funding for pilot programs
Towards Generic Business Models of Intermediaries in Data Collaboratives: From Gatekeeping to Data Control
No full textData has become a core asset, as well as a “management fashion”, of our time. It brings about unprecedented opportunities for data-driven decision making and innovation in various spheres of public life. This concerns data held by governments, as well as companies, academic institutions, non-profits, and citizens. In our study we investigate a novel form of cross-sector partnership called Data Collaborative, and namely the business models employed by intermediaries in data collaboratives. Based on an analysis of six cases, we derived four generic business models based on the level of openness and added value of the data: Data Gatekeeper model, One-stop-shop model, Information-as-a-service model, and Data Controls model. Our study contributes to the literature on data partnerships and on intermediation and information sharing more broadly.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
- …
