Using collective intelligence methods to improve government data infrastructures and promote the use of complex data: The example of the Northern Ireland Longitudinal Study.

BACKGROUND: 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). METHODS: 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. RESULTS: 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. CONCLUSION: 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 identification environment matters: Students' social identification, perceived physical school environment, and anxiety - A cross-level interaction model.

The social identity approach to health argues that well-being depends on the psychosocial circumstances of the groups to which individuals belong. However, little is known about how the average level of identification in the group - 'the identification environment' - buffers the negative health consequences of stressors. We used multilevel modelling to investigate whether identification environment in a school modified the association between the students' perceptions of the quality of their school's physical environment and their reported levels of anxiety. In two representative samples of Finnish school students (N = 678 schools/71,392 students; N = 704 schools/85,989 students), weak identification environment was related to increased anxiety. In addition, in schools where identification environment was weaker, the student level relationship between perceived physical environment and anxiety was stronger, and students were more anxious. Our results provide evidence that identification environment needs to be considered when we analyse how group membership affects well-being.

Who reports address changes through the healthcare system? The characteristics of laggers and non-reporters using the Northern Ireland Longitudinal Study.

Address information from health service professionals is already important for the delivery of health care and population monitoring and screening. It is also important for statistical purposes such as the estimation of migration and small area populations and its importance could increase as the decade progresses and alternatives are sought to the traditional census. Because of this, it is important to understand more about the accuracy of address information provided through the health care system.This article considers the characteristics of 'laggers' - those who delay in reporting address changes - and 'non-reporters' - those who on occasion fail to report their addresses.The article finds that, as might be expected, laggers and non-reporters tend to be male and resident in urban and deprived areas. However, less expectedly, older people tend to be laggers, as are owner occupiers, those who are not ill, those who have some educational qualifications, and those who are self-employed. Some non-reporters are also more likely to be employed in professional jobs and to be unmarried (for example single, remarried and divorced). This suggests that poor address information is not just a problem associated with the socially deprived and the young but also with some more affluent groups such as those not experiencing limiting long-term illness. The article concludes by arguing that the checking of patients' address information should be collected under the Quality and Outcomes Framework (QOF) as a performance indicator.

Binding Site Transitions Across Strained Oxygenated and Hydroxylated Pt(111).

The effects of strain σ on the binding position preference of oxygen atoms and hydroxyl groups adsorbed on Pt(111) have been investigated using density functional theory. A transition between the bridge and FCC binding occurs under compressive strain of the O/Pt(111) surface. A significant reconstruction occurs under compressive strain of the OH/Pt(111) surface, and the surface OH groups preferentially occupy on-top (bridge) positions at highly compressive (less compressive/tensile) strains. Changes to magnetisation of the O- and OH-populated surfaces are discussed and for O/Pt(111) oxygenation reduces the surface magnetism via a delocalised mechanism. The origins of the surface magnetisation for both O- and OH-bearing systems are discussed in terms of the state-resolved electronic populations and of the surface charge density.

Reporting address changes by migrants: the accuracy and timeliness of reports via health card registers.

Up-to-date and accurate recordings of patient address are important in health services delivery, particularly for screening, immunisation and needs assessment of areas. Patients who change address are at greater risk of having an out-dated address registered with a health professional, which in turn can have a negative impact on their access to services and on the purported health needs of the areas they move to and from. The current study investigated the accuracy and timeliness of updated address information in the Health Card Registration System compared to self-reported addresses in the 2001 Census for members of the Northern Ireland Longitudinal Study (c508,000) who changed address during the years 2001-2007. Males, healthy people and owner-occupiers (level-one) and urban and more socially deprived neighbourhoods (level-two) were associated with an increased risk of late updating or non-reporting of address changes in a multi-level analysis. This may be explained by lack of engagement with the health service. Accurate address information could be considered as an indicator for the Quality and Outcomes Framework in the future in an attempt to maintain accurate records.