Using collective intelligence methods to improve government data infrastructures and promote the use of complex data: The example of the Northern Ireland Longitudinal Study.
Using collective intelligence methods to improve government data infrastructures and promote the use of complex data: The example of the Northern Ireland Longitudinal Study.
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DOI：
10.1186/s12961-023-01070-x
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发表时间：
2023-12-18
影响因子：
4
通讯作者：
Shuttleworth, Ian
中科院分区：
文献类型：
--
作者：
Lowry, Estelle;Hogan, Michael J.;Moriarty, John;Harney, Owen M.;Ruijer, Erna;Pilch, Monika;Groarke, Jenny M.;Hanlon, Michelle;Shuttleworth, Ian
本文讨论了如何实施集体智慧（CI）方法来改善政府数据基础设施，不仅要支持对复杂国家数据的理解和主要使用，还要增加基于这些数据的研究的传播和次级影响。该案例研究使用了北方爱尔兰纵向研究（NILS），这是英国人口普查/行政数据纵向研究（UKLS）家族的一员。一个企业主参与的CI方法被应用到通知NILS研究支持单位（RSU）基础设施的改造，以支持研究人员使用政府数据，包括协作决策和更好地传播研究成果。我们概述了迄今为止已实施的NILS RSU基础设施设计变更，重点是重新设计网站以满足用户信息要求，以及在北方爱尔兰数据环境中的数据用户和提供商之间建立更好的工作伙伴关系。我们还讨论了设计团队在这个转型项目中所面临的关键挑战。我们的主要目标是改善政府数据基础设施，增加基于数据的研究的传播和影响，这是一个复杂和多方面的挑战，因为涉及的利益攸关方数量众多，而且他们的观点往往相互矛盾。这种CI方法的结果在突出NILS RSU如何与用户合作以最大限度地发挥这些数据的潜力方面至关重要，形成多学科网络以确保研究在政策和文献中得到利用，并提供学术支持和资源以吸引新的研究人员。在线版本包含补充材料，可通过10.1186/s12961-023-01070-x获得。
This paper discusses how collective intelligence (CI) methods can be implemented to improve government data infrastructures, not only to support understanding and primary use of complex national data but also to increase the dissemination and secondary impact of research based on these data. The case study uses the Northern Ireland Longitudinal Study (NILS), a member of the UK family of census/administrative data longitudinal studies (UKLS). A stakeholder-engaged CI approach was applied to inform the transformation of the NILS Research Support Unit (RSU) infrastructure to support researchers in their use of government data, including collaborative decision-making and better dissemination of research outputs. We provide an overview of NILS RSU infrastructure design changes that have been implemented to date, focusing on a website redesign to meet user information requirements and the formation of better working partnerships between data users and providers within the Northern Ireland data landscape. We also discuss the key challenges faced by the design team during this project of transformation. Our primary objective to improve government data infrastructure and to increase dissemination and the impact of research based on data was a complex and multifaceted challenge due to the number of stakeholders involved and their often conflicting perspectives. Results from this CI approach have been pivotal in highlighting how NILS RSU can work collaboratively with users to maximize the potential of this data, in terms of forming multidisciplinary networks to ensure the research is utilized in policy and in the literature and providing academic support and resources to attract new researchers. The online version contains supplementary material available at 10.1186/s12961-023-01070-x.
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