Abstract:Governments in OECD countries are turning more and more towards creating networked entities as a means of organising cross-sector and multidisciplinary research. Yet, there is little discussion of how such networks operate and how they differ in evaluation terms from other research entities (individuals and organisations). This particularly relates to the policy objectives of networks. In this paper, we use the literature on evaluation, impact and value as a lens through which to focus on the nature and benefi… Show more
“…The main objective of network analysis is to find out the answer to a simple question: Has an actual network been formed? [ 26 ]. All network analysis methods focus on a knowledge network’s management and formation.…”
BackgroundFormal knowledge networks are considered among the solutions for strengthening knowledge translation and one of the elements of innovative systems in developing and developed countries. In the year 2000, knowledge networks were established in Iran’s health system to organize, lead, empower, and coordinate efforts made by health-related research centers in the country. Since the assessment of a knowledge network is one of the main requirements for its success, the current study was designed in two qualitative and quantitative sections to identify the strengths and weaknesses of the established knowledge networks and to assess their efficiency.MethodsIn the qualitative section, semi-structured, in-depth interviews were held with network directors and secretaries. The interviews were analyzed through the framework approach. To analyze effectiveness, social network analysis approach was used. That is, by considering the networks’ research council members as ‘nodes’, and the numbers of their joint articles - before and after the network establishments - as ‘relations or ties’, indices of density, clique, and centrality were calculated for each network. In the qualitative section, non-transparency of management, lack of goals, administrative problems were among the most prevalent issues observed.ResultsCurrently, the most important challenges are the policies related to them and their management. In the quantitative section, we observed that density and clique indices had risen for some networks; however, the centrality index for the same networks was not as high. Consequently the attribution of density and clique indices to these networks was not possible.ConclusionTherefore, consolidating and revising policies relevant to the networks and preparing a guide for establishing managing networks could prove helpful. To develop knowledge and technology in a country, networks need to solve the problems they face in management and governance. That is, the first step towards the realization of true knowledge networks in health system.
“…The main objective of network analysis is to find out the answer to a simple question: Has an actual network been formed? [ 26 ]. All network analysis methods focus on a knowledge network’s management and formation.…”
BackgroundFormal knowledge networks are considered among the solutions for strengthening knowledge translation and one of the elements of innovative systems in developing and developed countries. In the year 2000, knowledge networks were established in Iran’s health system to organize, lead, empower, and coordinate efforts made by health-related research centers in the country. Since the assessment of a knowledge network is one of the main requirements for its success, the current study was designed in two qualitative and quantitative sections to identify the strengths and weaknesses of the established knowledge networks and to assess their efficiency.MethodsIn the qualitative section, semi-structured, in-depth interviews were held with network directors and secretaries. The interviews were analyzed through the framework approach. To analyze effectiveness, social network analysis approach was used. That is, by considering the networks’ research council members as ‘nodes’, and the numbers of their joint articles - before and after the network establishments - as ‘relations or ties’, indices of density, clique, and centrality were calculated for each network. In the qualitative section, non-transparency of management, lack of goals, administrative problems were among the most prevalent issues observed.ResultsCurrently, the most important challenges are the policies related to them and their management. In the quantitative section, we observed that density and clique indices had risen for some networks; however, the centrality index for the same networks was not as high. Consequently the attribution of density and clique indices to these networks was not possible.ConclusionTherefore, consolidating and revising policies relevant to the networks and preparing a guide for establishing managing networks could prove helpful. To develop knowledge and technology in a country, networks need to solve the problems they face in management and governance. That is, the first step towards the realization of true knowledge networks in health system.
“…While collaborative research networks have many attributes and characteristics, they can loosely be defined as formal or informal networks of individuals and organizations that are working together and share similar mandates, goals or activities [1] , [2] . Formal research networks are typically established to meet specific organizational or policy goals (e.g., building research capacity; encouraging connections between researchers and users; building multi-disciplinary research agendas) within specific fields.…”
Section: Introductionmentioning
confidence: 99%
“…On the contrary, informal research networks are often characterized as dynamic and responsive collectives of researchers that tend to evolve on the periphery of formality and structure; often a result of researchers who partner with other researchers based on common and complimentary interests, expertise, and access to resources in a specific field [1] , [5] . Literature related to informal NTD research networks has largely been published in the form of bibliometric co-authorship mapping studies and is increasingly emerging to inform critical dialogue and commentary about the role of publicly funded researchers and institutions in ensuring under-resourced regions have more equitable access to NTD innovations and delivery solutions [6] , [7] .…”
BackgroundThis study designed and applied accessible yet systematic methods to generate baseline information about the patterns and structure of Canada's neglected tropical disease (NTD) research network; a network that, until recently, was formed and functioned on the periphery of strategic Canadian research funding.MethodologyMultiple methods were used to conduct this study, including: (1) a systematic bibliometric procedure to capture archival NTD publications and co-authorship data; (2) a country-level “core-periphery” network analysis to measure and map the structure of Canada's NTD co-authorship network including its size, density, cliques, and centralization; and (3) a statistical analysis to test the correlation between the position of countries in Canada's NTD network (“k-core measure”) and the quantity and quality of research produced.Principal FindingsOver the past sixty years (1950–2010), Canadian researchers have contributed to 1,079 NTD publications, specializing in Leishmania, African sleeping sickness, and leprosy. Of this work, 70% of all first authors and co-authors (n = 4,145) have been Canadian. Since the 1990s, however, a network of international co-authorship activity has been emerging, with representation of researchers from 62 different countries; largely researchers from OECD countries (e.g. United States and United Kingdom) and some non-OECD countries (e.g. Brazil and Iran). Canada has a core-periphery NTD international research structure, with a densely connected group of OECD countries and some African nations, such as Uganda and Kenya. Sitting predominantly on the periphery of this research network is a cluster of 16 non-OECD nations that fall within the lowest GDP percentile of the network.Conclusion/SignificanceThe publication specialties, composition, and position of NTD researchers within Canada's NTD country network provide evidence that while Canadian researchers currently remain the overall gatekeepers of the NTD research they generate; there is opportunity to leverage existing research collaborations and help advance regions and NTD areas that are currently under-developed.
“…According to Hessels (2013), large-scale research programmes can be understood as "intermediary organisations with a coordinating mission" (Hessels, 2013, p. 317). They are formally established and mandated organisations that aim to establish or strengthen relationships among researchers and research systems in order to enhance their common effectiveness (Hessels, 2013;Jappe, 2009;Withycombe Keeler et al, 2015;Wixted & Holbrook, 2012). The term 'intermediary' refers to the position of these organisations mediating between the daily practices of researchers and the (inter)national research environments in which these practices take place (Hessels, 2013).…”
Section: How Does Coordination Through Research Programmes Work?mentioning
confidence: 99%
“…Coordinating research programmes have multiple strategies at their disposal, including setting a common research agenda, sharing resources, mobilising capacity, facilitating knowledge transfer and shaping funding priorities (Cummings & Kiesler, 2007;Wixted & Holbrook, 2012). Doing so, they may enhance interdisciplinary collaboration, shape global research agendas and practices, contribute to the development of research domains and share research insight and solutions across different contexts (Hessels, 2013;Jappe, 2009;Withycombe Keeler et al, 2015;Wixted & Holbrook, 2012).…”
Section: How Does Coordination Through Research Programmes Work?mentioning
In addressing this question, I am focusing specifically on the principle of co-production and related participatory ideals. The principle of co-production is relatively novel and different perspectives on its meaning, desirability and implementation exist. This allows me to study how different perspectives shape the development of global science institutions. I will address this question in Chapter 5 and Chapter 9.
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