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This article compares the processes of community verification (CV) and user satisfaction surveys during the implementation of performance-based financing (PBF) in Mali and Burkina Faso.

The authors adopted a qualitative approach based on a multiple-case study design. Data were collected from August 10 to 25, 2017, in Mali, and from January to May 2016 in Burkina Faso. In Mali, 191 semi-structured interviews were conducted with investigators (people who collect information from health centre users in the communities, using survey tools), users, users' relatives, and health workers in three of the 10 health districts in the Koulikoro region. In Burkina Faso, 241 non-participatory observation sessions were recorded in a research diary, and 92 semi-structured interviews and informal discussions were conducted with investigators, community verifiers, users, PBF support staff at the national level, and administrative staff in one of the 15 health districts involved in PBF. The data were analysed inductively.

In both Mali and Burkina Faso, the delayed availability of survey forms led to a delay in starting the surveys. In Mali, to get off to a quick start, some investigators went to health centres to conduct the sampling with their supervisors. In both countries, investigators reported difficulties in finding certain users in the community due to incorrect spelling of names, lack of telephone details, incomplete information on the forms, common or similar sounding names within the community, and user mobility. There was little interference from health workers during user selection and surveys in both countries. In both countries, many surveys were conducted in the presence of the user's family (husband, father-in-law, brother, uncle, etc.) and the person accompanying the investigator. Also in both countries, some investigators filled in forms without investigating. They justified this data fabrication by the inadequate time available for the survey and the difficulty or impossibility of finding certain users. In both countries, the results were not communicated to health centre staff or users in either country.

CV and user satisfaction surveys are important components of PBF implementation. However, their implementation and evaluation remain complex. The instruments for CV and user satisfaction surveys for PBF need to be adapted and simplified to the local context. Emphasis should be placed on data analysis and the use of CV results.

There are similarities and differences in the CV process and user satisfaction surveys in Mali and Burkina Faso. In Mali, the data from the user satisfaction survey was not analyzed, while in Burkina Faso, the analysis did not allow for feedback. The local non-governmental organisations (NGOs) that carried out the CV were pre-financed for 50% of the amount in Mali. In Burkina Faso, community-based organisations (CBOs) were not pre-financed. The lack of financing negatively impacted the conduction of the surveys. In Mali, fraudulent completion of survey forms by interviewers was more common in urban than in rural areas. In Burkina Faso, the frauds concerned consultations for children under five years of age. In Burkina Faso, the survey form was not adapted to collect data on the level of satisfaction of the indigent.

1. There were similarities and differences in the community verification (CV) processes in Mali and Burkina Faso.

2. In both Mali and Burkina Faso, tracing users within their community was difficult for several reasons, including incorrect or incomplete information on forms, common or similar names, and user mobility.

3. In both countries, there was no feedback on the results of the CV process to health centre staff or users.

4. Survey forms were falsified by investigators in both countries. In Mali, falsification was more common in urban than in rural areas. In Burkina Faso, falsification was more often observed for consultations for children under five years of age.

There were similarities and differences in the community verification (CV) processes in Mali and Burkina Faso.

In both Mali and Burkina Faso, tracing users within their community was difficult for several reasons, including incorrect or incomplete information on forms, common or similar names, and user mobility.

In both countries, there was no feedback on the results of the CV process to health centre staff or users.

Survey forms were falsified by investigators in both countries. In Mali, falsification was more common in urban than in rural areas. In Burkina Faso, falsification was more often observed for consultations for children under five years of age.

Background: Evidence suggests that people living in poverty often experience inadequate nutrition with short and long-term health consequences. Whilst the diets of low-income households have been subject to scrutiny, there is limited evidence in the UK on the diet quality and food practices of households reporting food insecurity and food bank use. We explore lived experiences of food insecurity and underlying drivers of diet quality among low-income families, drawing upon two years of participatory research with families of primary school age children.

Methods: We report on a mixed-methods study of the relationship between low income, food bank use, food practices and consumption from a survey of 612 participants, including 136 free text responses and four focus groups with 22 participants. The research followed a parallel mixed-methods design: qualitative and quantitative data were collected separately, although both were informed by participatory work. Quantitative data were analysed using binary and multinomial logistic regression modelling; qualitative data were analysed thematically.

Results: Lower income households and those living with food insecurity struggle to afford a level of fruit and vegetable consumption that approaches public health guidance for maintaining a healthy diet, despite high awareness of the constituents of a healthy diet. Participants used multiple strategies to ensure as much fruit, vegetable and protein consumption as possible within financial constraints. The quantitative data suggested a relationship between higher processed food consumption and having used a food bank, independent of income and food security status.

Conclusions: The findings suggest that individualised, behavioural accounts of food practices on a low-income misrepresent the reality for people living with poverty. Behavioural or educational interventions are therefore likely to be less effective in tackling food insecurity and poor nutrition among people on a low income; policies focusing on structural drivers, including poverty and geographical access to food, are needed.

In this article, we discuss an innovative audience research methodology developed for the AHRC-funded “Beyond the Multiplex: Audiences for Specialised Film in English Regions” project (BtM). The project combines a computational ontology with a mixed-methods approach drawn from both the social sciences and the humanities, enabling research to be conducted both at scale and in depth, producing complex relational analyses of audiences. BtM aims to understand how we might enable a wide range of audiences to participate in a more diverse film culture, and embrace the wealth of films beyond the mainstream in order to optimise the cultural value of engaging with less familiar films. BtM collects data through a three-wave survey of film audience members’ practices, semi-structured interviews and film-elicitation groups with audience members alongside interviews with policy and industry experts, and analyses of key policy and industry documents. Bringing each of these datasets together within our ontology enables us to map relationships between them across a variety of different concerns. For instance, how cultural engagement in general relates to engagement with specialised films; how different audiences access and/or share films across different platforms and venues; how their engagement with those films enables them to make meaning and generate value; and how all of this is shaped by national and regional policy, film industry practices, and the decisions of cultural intermediaries across the fields of film production, distribution and exhibition. Alongside our analyses, the ontology enables us to produce data visualisations and a suite of analytical tools for audience development studies that stakeholders can use, ensuring the research has impact beyond the academy. This paper sets out our methodology for developing the BtM ontology, so that others may adapt it and develop their own ontologies from mixed-methods empirical data in their studies of other knowledge domains.

This paper aims to increase understanding of pertinent exogenous and endogenous antecedents that can reduce data privacy breaches.

A cross-sectional survey was used to source participants' perceptions of relevant exogenous and endogenous antecedents developed from the Antecedents-Privacy Concerns-Outcomes (APCO) model and Social Cognitive Theory. A research model was proposed and tested with empirical data collected from 213 participants based in Canada.

The exogenous factors of external privacy training and external privacy self-assessment tool significantly and positively impact the study's endogenous factors of individual privacy awareness, organizational resources allocated to privacy concerns, and group behavior concerning privacy laws. Further, the proximal determinants of data privacy breaches (dependent construct) are negatively influenced by individual privacy awareness, group behavior related to privacy laws, and organizational resources allocated to privacy concerns. The endogenous factors fully mediated the relationships between the exogenous factors and the dependent construct.

This study contributes to the budding data privacy breach literature by highlighting the impacts of personal and environmental factors in the discourse.

The results offer management insights on mitigating data privacy breach incidents arising from employees' actions. Roles of external privacy training and privacy self-assessment tools are signified.

Antecedents of data privacy breaches have been underexplored. This paper is among the first to elucidate the roles of select exogenous and endogenous antecedents encompassing personal and environmental imperatives on data privacy breaches.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

This chapter will identify readily accessible existing sources of public data. Thechallenges of using that data are considerable and require extensive time to ensure validity for reporting purposes. Summaries of data field selection and data wrangling requirements are presented in conjunction with data aggregation strategies.

Data literacy empowers college students, equipping them with essential skills necessary for their personal lives and careers in today’s data-driven world. This study aims to explore how community college students evaluate their data literacy and further examine demographic and educational/career advancement disparities in their self-assessed data literacy levels.

An online survey presenting a data literacy self-assessment scale was distributed and completed by 570 students at four community colleges. Statistical tests were performed between the data literacy factor scores and students’ demographic and educational/career advancement variables.

Male students rated their data literacy skills higher than females. The 18–19 age group has relatively lower confidence in their data literacy scores than other age groups. High school graduates do not feel proficient in data literacy to the level required for college and the workplace. Full-time employed students demonstrate more confidence in their data literacy than part-time and nonemployed students.

Given the lack of research on community college students’ data literacy, the findings of this study can be valuable in designing and implementing data literacy training programs for different groups of community college students.

With the worldwide open government data (OGD) movement and frequent public health emergencies in recent years, academic research on OGD for public health emergencies has been growing. However, it is not fully understood how to promote OGD on public health emergencies. Therefore, this paper aims to explore the factors that influence OGD on public health emergencies.

The technology–organization–environment framework is applied to explore factors that influence OGD during COVID-19. It is argued that the effects of four key factors – technical capacity, organizational readiness, social attention and top-down pressure – are contingent on the severity of the pandemic. A unique data set was created by combining multiple data sources which include archival government data, a survey of 1,034 Chinese respondents during the COVID-19 outbreak and official COVID-19 reports.

The data analysis indicates that the four factors positively affect OGD, and pandemic severity strengthens the effects of technical capacity, organizational readiness and social attention on OGD.

This study provides theoretical insights regarding how to improve OGD during public health emergencies, which can guide government efforts in sharing data with the public when dealing with outbreak in the future.

Open access (OA) is often considered as particularly beneficial to researchers in the global south. However, research into awareness of and attitudes to OA has been largely dominated by voices from the global north. A survey was conducted of 507 researchers from the developing world and connected to INASP's AuthorAID project to ascertain experiences and attitudes to OA publishing. The survey revealed problems for the researchers in gaining access to research literature in the first place. There was a very positive attitude to OA research and OA journals, but when selecting a journal in which to publish, OA was seen as a much less important criterion than factors relating to international reputation. Overall, a majority of respondents had published in an OA journal and most of these had paid an article processing charge. Knowledge and use of self-archiving via repositories varied, and only around 20% had deposited their research in an institutional repository. The study also examined attitudes to copyright, revealing most respondents had heard of Creative Commons licences and were positive about the sharing of research for educational use and dissemination, but there was unease about research being used for commercial purposes. Respondents revealed a surprisingly positive stance towards openly sharing research data, although many revealed that they would need further guidance on how to do so. The survey also revealed that the majority had received emails from so called “predatory” publishers and that a small minority had published in them.

The aim of this paper is to investigate the needs of lecturers and learners for digital scholarship services (DSS) and to suggest recommendations for the development of DSS at Vietnam National University Ho Chi Minh City (VNU-HCM).

The research employed a mixed method approach, comprising a paper questionnaire with 360 respondents to collect quantitative data and in-depth interviews with 18 participants, including lecturers (L), postgraduate students (P), and undergraduate students (U), to gather qualitative data.

The findings indicate that lecturers and students have diverse needs for various DSS services, with digital information resources and institutional repositories being the most common, followed by new and workable digital technology infrastructure, training courses in using digital tools and methods, and ongoing advice and support at different stages of the research process.

The limitations of this study indicate that further research is necessary to obtain a more comprehensive understanding of the DSS needs in higher education institutions in Vietnam of various sizes and characteristics.

This research provides a practical basis for the development and provision of appropriate support to the development of DSS at VNU-HCM.

The originality of this paper and its value lies in the contribution to the understanding of the needs of DSS in a context of the digital transformation and the improvement of the quality of education and research in the higher education sector in Vietnam.