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This study aims to examine a comparative analysis of electronic- and paper-based data collection methods.

Survey research approach was adopted to conduct the study. A total of 500 library and information science (LIS) researcher/information professionals selected randomly from seven states in Nigeria represent the sample for the study. A self-designed questionnaire was used to gather data from the respondents. Six objectives were developed to guide the study.

The findings reveal that there is preference for paper-based than the electronic-based data collection methods, and similarly, respondents indicated they cannot use any other data collection methods other than paper-based. Electronic data collection method is beneficial in terms of gathering a representative sample within a short period compared to the paper-based method. The researcher has control over access to the survey in the paper-based method compared to the electronic method, and there is opportunity to monitor the progress of the research and clarify ambiguity by the researcher. The electronic method is limited in terms of collecting data from only the respondents who are computer-literate with good Web skills, while the paper-based method is limited by higher attrition rate, money and time consumption.

The study did not consider the time needed to gather data with each method or the amount of time needed for data entry, cleaning and coding. It is possible that a time-motion study would reveal clear superiority of either one method or the other. The total sample of participants in the study is also limited, considering the total number of LIS researcher/information professionals in Nigeria.

The study has underlined the value of electronic/Web-based collection as a cost- and time-saving instrument in modern LIS research. Regardless of method and trial, electronic data collection could fulfill in all examined parameters, its promises, realizing cost savings of up to a 50 per cent in comparison with the paper-based data collection method.

The paper is solely the idea of the author.

This paper aims to discuss the challenges of conducting research with homelessness services frontline workers during the COVID-19 pandemic.

Between 2015 and 2019, the research team surveyed frontline staff in three cities about their psychosocial stressors and needs. In 2020, the authors replicated the previous study and expanded data collection to seven cities across Canada to determine the extent to which the COVID-19 pandemic impacted the well-being of frontline staff. This report describes how the authors adapted the research methodologies to continue work throughout the pandemic, despite various restrictions.

The original studies had very high participation rates because of several methodological approaches that minimized barriers, especially in-person data collection. During the pandemic, distancing requirements precluded replication of these same methods. Research strategies that enabled staff participation during working hours, with designated time allotted for participation, was key for ensuring high participation rates, as access to technology, availability of free time and other factors frequently make online survey research a hardship for these staff. Restrictive interpretation and regional variations of COVID-19 guidelines by some research ethics boards were also a challenge to rapid and responsive data collection.

Few studies describe the experiences of frontline workers in the homelessness sector, and quantitative reports of their experiences are particularly scant. Consequently, little is known about specific methodologies that facilitate large-scale data collection in the homelessness services sector. The present research advances the field by providing lessons learned about best practice approaches in pre and post COVID-19 front line worker contexts. A strength of this research is the well-controlled design. The authors collected data within several of the organizations that had previously participated. This fortunate baseline provided opportunity for comparison before and during the pandemic; the authors can highlight factors that might have had influence during the pandemic.

This study aims to investigate the preferences of 96 educational researchers on the use of digital technologies in scientific research.

The study was designed as a quantitative-dominant sequential explanatory mixed-method research.

Despite the spreading use of advanced technologies of big data and data mining, the most preferred digital technologies were found to be data analysis programs, databases and questionnaires. The primary reasons of using digital technology in scientific research were to collect data easily and quickly, to reduce research costs and to reach a higher number of participants.

The use of digital technologies in scientific research is considered a revolutionary action, which creates innovative opportunities. Through digitalized life, probably for the first time in history, the educational researchers have analytical information, which we can benefit from more than the individual's own statements in research involving human factor. However, there are a few studies that investigated the preferences of educational researchers who use digital technologies in their scientific research.

The purpose of this paper is to assess National Medical Care Survey data quality.

Data completeness and representativeness were computed for all observations while other data quality measures were assessed using a 10 per cent sample from the National Medical Care Survey database; i.e., 12,569 primary care records from 189 public and private practices were included in the analysis.

Data field completion ranged from 69 to 100 per cent. Error rates for data transfer from paper to web-based application varied between 0.5 and 6.1 per cent. Error rates arising from diagnosis and clinical process coding were higher than medication coding. Data fields that involved free text entry were more prone to errors than those involving selection from menus. The authors found that completeness, accuracy, coding reliability and representativeness were generally good, while data timeliness needs to be improved.

Only data entered into a web-based application were examined. Data omissions and errors in the original questionnaires were not covered.

Results from this study provided informative and practicable approaches to improve primary health care data completeness and accuracy especially in developing nations where resources are limited.

Primary care data quality studies in developing nations are limited. Understanding errors and missing data enables researchers and health service administrators to prevent quality-related problems in primary care data.

The purpose of this paper is to contribute to the understanding of how statistical process control (SPC) methodology can be implemented and used in organizational settings.

An action research model was used. Data were collected through formal meeting protocols, interviews and participant observation.

Based on the results of an action research project, the paper emphasizes the need for: top management support with respect to roles such as infrastructural assistance, mentor, critic, financer; creating system validity through the involvement of people with experiential knowledge about the “world” in which SPC should be applied; keeping a small, highly knowledgeable development team with appropriate expertise together during the whole process from beginning to end; keeping the various end‐users in focus but separate and prioritising between their different needs; and working with iterative design methodology.

The paper provides the research field with a unique case of implementing SPC using a computerized administrative data system.

Organizations are given guidelines to use when implementing SPC.

The paper contributes knowledge in an underdeveloped field of research. It may provide a basis for further research and scholarly analysis.

Current research efforts exhibit a surge imperative for a building information modelling (BIM) approach that embodies a repository of all relevant data of existing building components while monitoring and consistently recording numerous components’ functions throughout its lifecycle, especially in Egypt. This research paper aims to develop an integrated as-is BIM-facility management (FM) information model for the existing building’s components via a case study, depicting a repository for historical data and knowledge amassed from inspections and conveying maintenance decisions automatically during the FM practices.

The developed approach pursues four successive steps: data acquisition and processing of building components; components recognition from point clouds; modelling scanned point clouds; and quick response code information transfer to BIM components.

The proposed approach incorporates the as-is BIM with the building components’ as-is FM information to portray a repository for historical data and knowledge collected from inspections to proactively benefit facility managers in simplifying, expediting and enhancing maintenance decisions automatically during FM practices.

This paper presents a digital alternative to manual maintenance recordkeeping concerning building components to retrieve their as-is and historical data using a case study in Egypt. This paper proposes a broad scan to as-is information BIM approach for the existing building’s components to condone maintenance interventions using a versatile, affordable, readily available and multi-functional method for scanning the building’s components using a handheld tool.

Primary care plays a critical role in screening and management of depression. The purpose of this paper is to focus on leveraging the electronic health record (EHR) as well as work flow redesign to improve the efficiency and reliability of the process of depression screening in two adult primary care clinics of a rural academic institution in USA.

The authors utilized various process improvement tools from lean six sigma methodology including project charter, swim lane process maps, critical to quality tree, process control charts, fishbone diagrams, frequency impact matrix, mistake proofing and monitoring plan in Define-Measure-Analyze-Improve-Control format. Interventions included change in depression screening tool, optimization of data entry in EHR. EHR data entry optimization; follow up of positive screen, staff training and EHR redesign.

Depression screening rate for office-based primary care visits improved from 17.0 percent at baseline to 75.9 percent in the post-intervention control phase (p < 0.001). Follow up of positive depression screen with Patient History Questionnaire-9 data collection remained above 90 percent. Duplication of depression screening increased from 0.6 percent initially to 11.7 percent and then decreased to 4.7 percent after optimization of data entry by patients and flow staff.

Impact of interventions on clinical outcomes could not be evaluated.

Successful implementation, sustainability and revision of a process improvement initiative to facilitate screening, follow up and management of depression in primary care requires accounting for voice of the process (performance metrics), system limitations and voice of the customer (staff and patients) to overcome various system, customer and human resource constraints.

To describe orthopaedic surgical site infection (SSI) surveillance models at two English pilot sites, and to review their effectiveness and integration into clinical governance.

The different organisational models for orthopaedic SSI at two Trusts were examined and assessed.

Both sites recognised that regular feedback to clinical staff and clinical ownership are important determinants of success, and this was addressed by both models. Each site appointed a surveillance coordinator within the infection control service to oversee the programme, but tasked data collection to different staff groups directly involved with the care of orthopaedic patients. Feedback programmes to Clinical Governance Committees, clinical staff and managers were developed, reinforcing surveillance of SSI as a core component of surgical risk management and quality assurance, and an integral part of clinical governance. The pilots demonstrated the importance of a dedicated surveillance coordinator.

Infection following joint replacement surgery is associated with high morbidity and financial costs. In 2004 surveillance of orthopaedic SSI became mandatory in England. A description and assessment of these pilot sites will be of practical value to Trusts that must now implement SSI surveillance.

SSI surveillance is a corner‐stone of risk management and quality clinical care, yet little has been published on organisational frameworks needed for implementation, particularly in the context of clinical governance. This paper addresses these issues in describing and assessing the models at two English pilot sites.

The purpose of this study is to investigate the current construction progress monitoring (CPM) process in relation to the contractual obligations, how project management teams carry out this activity in the field and why teams continue to adopt the current method. The study aims to provide a comprehensive understanding of the current monitoring process and its effectiveness, identify any shortcomings and propose recommendations for improvements that can lead to better project outcomes.

The study conducted semi-structured interviews with 28 construction management practitioners to explore their views on contractual requirements, traditional progress monitoring practices and advanced monitoring methods. Thematic analysis was used to identify existing processes, practices and incentives for advanced monitoring.

Standard construction contracts mandate current progress monitoring practices, which often rely on manual, document-centric and labor-intensive methods, leading to slow and erroneous progress reporting and project delays. Key barriers to adopting advanced tools include rigid contractual clauses, lack of incentives and the absence of reliable automated tools. A holistic automated approach that covers the entire CPM process, from planning to claim management, is needed as a viable alternative to traditional practices.

The study's findings can inform researchers, stakeholders and decision-makers about the existing monitoring practices and contribute to enhancing project management practices.

The study identified contractually mandated progress monitoring processes, traditional methods of collecting, transferring, analyzing and dispensing progress-related information and potential incentives and points of departure towards technologically advanced methods.

The United Nations (UN) actively incorporated new media as a tool for consultation and agenda setting during the Millennium Development Goal (MDG)–Sustainable Development Goal (SDG) transition. As global actors shifted their attention to the sustainable development goals, the UN and its partners scaled up their digital engagement with civil society, multinational agencies, and country-level stakeholders to inform the post-2015 agenda. This chapter explored how the UN integrated Twitter into the post-2015 consultation and how the UN Women and the United Nations Girls’ Education Initiative used Twitter to construct and diffuse girls’ education policy discourse during the MDG–SDG transition.