scholarly journals Quality Assurance Technologies of Big Data Applications: A Systematic Literature Review

2020 ◽  
Vol 10 (22) ◽  
pp. 8052
Author(s):  
Shunhui Ji ◽  
Qingqiu Li ◽  
Wennan Cao ◽  
Pengcheng Zhang ◽  
Henry Muccini
Keyword(s):  
Quality Assurance ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Scientific Databases ◽  
Big Data Applications ◽  
Low Performance ◽  
Prediction Systems

Big data applications are currently used in many application domains, ranging from statistical applications to prediction systems and smart cities. However, the quality of these applications is far from perfect, such as functional error, failure and low performance. Consequently, assuring the overall quality for big data applications plays an increasingly important role. This paper aims at summarizing and assessing existing quality assurance (QA) technologies addressing quality issues in big data applications. We have conducted a systematic literature review (SLR) by searching major scientific databases, resulting in 83 primary and relevant studies on QA technologies for big data applications. The SLR results reveal the following main findings: (1) the quality attributes that are focused for the quality of big data applications, including correctness, performance, availability, scalability and reliability, and the factors influencing them; (2) the existing implementation-specific QA technologies, including specification, architectural choice and fault tolerance, and the process-specific QA technologies, including analysis, verification, testing, monitoring and fault and failure prediction; (3) existing strengths and limitations of each kind of QA technology; (4) the existing empirical evidence of each QA technology. This study provides a solid foundation for research on QA technologies of big data applications and can help developers of big data applications apply suitable QA technologies.

scholarly journals A Beginner’s Guide to Developing Review-Based Conceptual Frameworks in the Built Environment

Architecture ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Fahim Ullah
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Built Environment ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Smart Cities ◽  
Conceptual Frameworks ◽  
High Quality ◽  
Disruptive Technologies ◽  
Literature Reviews

With the boom of industry 4.0 technologies and their adoption in the built environment (BE), conceptual frameworks (CFs) are increasingly developed to facilitate the adoption. It is becoming increasingly important to develop a standard or guide for new BE research entrants and aspirants who want to conduct a systematic literature review and develop such CFs. However, they struggle to find a standard and reproducible procedure to conduct systematic literature reviews and develop CFs successfully. Accordingly, the current study based on requests and inspirations from nascent BE researchers presents guidelines about conducting such studies. A simplistic yet reproducible methodology is presented that can be followed by BE research aspirants to produce high-quality and well-organized review articles and develop a CF. Using an example of big data-based disaster management in smart cities, the current study provides a practical example of conducting a systematic literature review and developing a CF. It is expected that this research will serve as a baseline for conducting systematic studies in the BE field that other fields of science can adopt. Further, it is expected that this study will motivate the nascent BE researchers to conduct systematic reviews and develop associated CFs with confidence. This will pave the way for adopting disruptive technologies and innovative tools in the BE in line with industry 4.0 requirements.

Big data applications on the Internet of Things: A systematic literature review

2021 ◽  
Author(s):  
Ulkar Ahmadova ◽  
Mustafa Mustafayev ◽  
Behnam Kiani Kalejahi ◽  
Saeed Saeedvand ◽  
Amir Masoud Rahmani
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Literature Review ◽  
Systematic Literature Review ◽  
The Internet ◽  
Big Data Applications ◽  
The Internet Of Things

Addressing big data challenges in smart cities: a systematic literature review

Info ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 73-90 ◽  
Author(s):  
Sumedha Chauhan ◽  
Neetima Agarwal ◽  
Arpan Kumar Kar
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Academic Research ◽  
Effective Management ◽  
Research Papers ◽  
Holistic View ◽  
Content Type ◽  
Practical Implications

Purpose Big Data has become crucial for fulfilling the vision of smart cities; however, there are several challenges associated with its use. This study aims to provide a holistic view of challenges of using Big Data in smart cities and the solutions to deal with them by systematically selecting, reviewing and synthesizing the literature in this area. Design/methodology/approach A systematic literature review was conducted by following a rigorous search protocol that identified a total of 310 peer-reviewed academic research papers. These papers were subsequently filtered and finally 38 relevant papers were selected. Findings A number of major challenges (human dynamics, privacy, security, volume, velocity, variety, veracity and value) associated with Big Data in a smart city and the respective solutions to address them were identified. This study primarily contributes in providing the process of effectively managing Big Data in smart cities. Practical implications The study provides valuable information to the Big Data practitioners by illustrating the process of effective management of Big Data in smart cities. This study further provides the directions to the future researchers. Originality/value The study is original and is based on the existing literature and its interpretation.

scholarly journals Big Data COVID-19 Systematic Literature Review: Pandemic Crisis

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3125
Author(s):  
Laraib Aslam Haafza ◽  
Mazhar Javed Awan ◽  
Adnan Abid ◽  
Awais Yasin ◽  
Haitham Nobanee ◽  
...  
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Inclusion Criteria ◽  
Big Data Applications ◽  
Data Statistics ◽  
Review Study ◽  
The Many ◽  
Meta Analyses ◽  
And Control

The COVID-19 pandemic has frightened people worldwide, and coronavirus has become the most commonly used phrase in recent years. Therefore, there is a need for a systematic literature review (SLR) related to Big Data applications in the COVID-19 pandemic crisis. The objective is to highlight recent technological advancements. Many studies emphasize the area of the COVID-19 pandemic crisis. Our study categorizes the many applications used to manage and control the pandemic. There is a very limited SLR prospective of COVID-19 with Big Data. Our SLR study picked five databases: Science direct, IEEE Xplore, Springer, ACM, and MDPI. Before the screening, following the recommendation, Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) were reported for 893 studies from 2019, 2020 and until September 2021. After screening, 60 studies met the inclusion criteria through COVID-19 data statistics, and Big Data analysis was used as the search string. Our research’s findings successfully dealt with COVID-19 healthcare with risk diagnosis, estimation or prevention, decision making, and drug Big Data applications problems. We believe that this review study will motivate the research community to perform expandable and transparent research against the pandemic crisis of COVID-19.

scholarly journals Implementation Gender-Responsive Budget: The Constraints and Their Coping Strategies

2021 ◽  
Vol 6 (1) ◽  
pp. 10-19
Author(s):  
Anggraeni Nur Siswiraningtyas ◽  
Indrawati Yuhertiana
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Local Governments ◽  
Contextual Information ◽  
Strong Support ◽  
Political Support ◽  
Google Scholar ◽  
Scientific Databases ◽  
The Government

This study aims to evaluate the implementation of the gender-responsive budget, its constraints and the strategies to cope with it. This research is motivated by the lack of response of both central and local governments to implementing gender-responsive budget ideas. This study applied the systematic literature review (SLR) method through three stages: Planning, Conducting and Reporting on research results published over the past five years in five international scientific databases, namely the SAGE Journal, Science Direct, Springer Link, Emerald and Google Scholar. The results showed that the implementation of gender-responsive budgets requires strong support from the government and citizens. The obstacles faced in implementing a gender-responsive budget are weak supporting policies, lack of government commitment, lack of understanding of gender concepts, low political support, and reluctance to change. Then the strategies to overcome these obstacles are: determining the focus of budgeting, strengthening the dimension of communication, strengthening commitments, strengthening the quality of human resources, establishing planning and budgeting sections, and building cooperation with institutions. Since the study applied the systematic literature review (SLR) method, the study has a limitation regarding first-hand data. It suggested further research with first-hand data to find out more detail and contextual information on the implementation of the gender-responsive budgets in respective government institutions.   Abstrak Studi ini bertujuan untuk mengevaluasi pelaksanaan anggaran responsif gender, kendalanya, dan strategi mengatasinya. Penelitian ini dilatarbelakangi oleh kurangnya respon pemerintah baik pusat maupun daerah dalam mengimplementasikan gagasan anggaran yang responsif gender. Penelitian ini menerapkan metode systematic literature review (SLR) melalui tiga tahap: Planning, Conducting dan Reporting terhadap hasil penelitian yang dipublikasikan selama lima tahun terakhir di lima database ilmiah internasional, yaitu SAGE Journal, Science Direct, Springer Link, Emerald dan Google Scholar. Hasil penelitian menunjukkan bahwa implementasi anggaran yang responsif gender membutuhkan dukungan yang kuat dari pemerintah dan masyarakat. Kendala yang dihadapi dalam mengimplementasikan anggaran yang responsif gender adalah lemahnya dukungan kebijakan, kurangnya komitmen pemerintah, kurangnya pemahaman konsep gender, rendahnya dukungan politik, dan keengganan untuk berubah. Kemudian strategi untuk mengatasi kendala tersebut adalah: penentuan fokus penganggaran, penguatan dimensi komunikasi, penguatan komitmen, penguatan kualitas sumber daya manusia, pembentukan seksi perencanaan dan penganggaran, serta membangun kerjasama dengan institusi. Karena penelitian ini menerapkan metode systematic literature review (SLR), penelitian ini memiliki keterbatasan mengenai data primer. Untuk mengetahui informasi lebih detail dan kontekstual tentang pelaksanaan anggaran responsif gender di masing-masing instansi pemerintah, disarankan penelitian empirik dengan menggunakan data primer. Kata kunci: anggaran responsif gender, pengarusutamaan gender, Systematic Literature Review (SLR)

scholarly journals AB0602 IMPACT OF SOCIOECONOMIC FACTORS ON PAIN AND FUNCTION IN KNEE OSTEOARTHRITIS: A SYSTEMATIC LITERATURE REVIEW

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1337.2-1337
Author(s):  
T. W. Swinnen ◽  
M. Willems ◽  
I. Jonkers ◽  
F. P. Luyten ◽  
J. Vanrenterghem ◽  
...  
Keyword(s):  
Risk Factors ◽  
Literature Review ◽  
Knee Osteoarthritis ◽  
Socioeconomic Factors ◽  
Systematic Literature Review ◽  
Intervention Effects ◽  
Socioeconomic Outcomes ◽  
And Function ◽  
The Impact

Background:The personal and societal burden of knee osteoarthritis (KOA) urges the research community to identify factors that predict its onset and progression. A mechanistic understanding of disease is currently lacking but needed to develop targeted interventions. Traditionally, risk factors for KOA are termed ‘local’ to the joint or ‘systemic’ referring to whole-body systems. There are however clear indications in the scientific literature that contextual factors such as socioeconomic position merit further scientific scrutiny, in order to justify a more biopsychosocial view on risk factors in KOA.Objectives:The aims of this systematic literature review were to assess the inclusion of socioeconomic factors in KOA research and to identify the impact of socioeconomic factors on pain and function in KOA.Methods:Major bibliographic databases, namely Medline, Embase, CINAHL, Web of Science and Cochrane, were independently screened by two reviewers (plus one to resolve conflicts) to identify research articles dealing with socioeconomic factors in the KOA population without arthroplasty. Included studies had to quantify the relationship between socioeconomic factors and pain or function. Main exclusion criteria were: a qualitative design, subject age below 16 years and articles not written in English or Dutch. Methodological quality was assessed via the Cochrane risk of bias tools for randomized (ROB-II) and non-randomized intervention studies (ROBIN-I) and the Newcastle-Ottawa Scale for assessing the quality of non-randomised studies. Due to heterogeneity of studies with respect to outcomes assessed and analyses performed, no meta-analysis was performed.Results:Following de-duplication, 7639 articles were available for screening (120 conflicts resolved without a third reader). In 4112 articles, the KOA population was confirmed. 1906 (25%) were excluded because of knee arthroplasty and 1621 (21%) because of other issues related to the population definition. Socioeconomic factors could not be identified in 4058 (53%) papers and were adjusted for in 211 (3%) articles. In the remaining papers covering pain (n=110) and/or function (n=81), education (62%) and race (37%) were most frequently assessed as socioeconomic factors. A huge variety of mainly dichotomous or ordinal socioeconomic outcomes was found without further methodological justification nor sensitivity analysis to unravel the impact of selected categories. Although the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was the most popular instrument to assess pain and function, data pooling was not possible as socioeconomic factors estimates were part of multilevel models in most studies. Overall results showed that lower education and African American race were consistent predictors of pain and poor function, but those effects diminished or disappeared when psychological aspects (e.g. discrimination) or poverty estimates were taken into account. When function was assessed using self-reported outcomes, the impact of socioeconomic factors was more clear versus performance-based instruments. Quality of research was low to moderate and the moderating or mediating impact of socioeconomic factors on intervention effects in KOA is understudied.Conclusion:Research on contextual socioeconomic factors in KOA is insufficiently addressed and their assessment is highly variable methodologically. Following this systematic literature review, we can highlight the importance of implementing a standardised and feasible set of socioeconomic outcomes in KOA trials1, as well as the importance of public availability of research databases including these factors. Future research should prioritise the underlying mechanisms in the effect of especially education and race on pain and function and assess its impact on intervention effects to fuel novel (non-)pharmacological approaches in KOA.References:[1]Smith TO et al. The OMERACT-OARSI Core Domain Set for Measurement in Clinical Trials of Hip and/or Knee Osteoarthritis J Rheumatol 2019. 46:981–9.Disclosure of Interests:None declared.

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