A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools

Person, Tatiana; Ruiz-Rube, Iván; Mota, José Miguel; Cobo, Manuel J.; Tselykh, Alexey; Dodero, Juan Manuel

doi:10.3390/app11125527

Cited by 4 publications

(5 citation statements)

References 23 publications

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“…Most SLR studies utilize software installed on the operational computer system or web-based software such as Covidence, Rayyan, EPPI-Reviewer, CADIMA, etc. (Person et al, 2021). However, most of the software is not free.…”

Section: Methodsmentioning

confidence: 99%

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

Tumiwa

Tuegeh²,

Bittner³

et al. 2022

TIS

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Nowadays, rural depopulation is one of the biggest problems in developed and developing countries, especially due to the COVID-19 pandemic. This pandemic impacts various sectors, especially the economic sector. However, the development of the 4.0 Industrial Revolution forced all sectors, including agriculture, to adapt and take advantage of internet-based digital technology by developing smart agriculture. Therefore, the objective of this study is to analyze the development of smart agriculture in rural areas. This study uses a systematic literature review with a TAA approach with secondary data collected from Scopus databases. The downloaded documents will be further analyzed using VOSviewer software to find the clustering. After the coding process by first-order categories, second layer theme, and aggregate dimension, this research found several theoretical concepts about the “Smart Village”. The definition of the ‘smart village’ concept is a combination of smart agriculture and industry 4.0 technology utilized by rural MSMEs to use the information and communication technology integrated into public services and economic activities. There are still many obstacles encountered in the application of ‘smart villages,’ such as the lack of youth participation and the low quality of human resources in the agricultural sector, limited internet network coverage, and the lack of optimal capital support. This research will contribute to the systematic literature review method by purposing filtering criteria of TAA to shade the light of the lack of data accuracy in several leading databases of scholarly impacts. This research also gives a clear direction for further research regarding industry 4.0 and Indonesia's smart agriculture concept application.

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Section: Methodsmentioning

confidence: 99%

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

Tumiwa

Tuegeh²,

Bittner³

et al. 2022

TIS

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show abstract

“…This process allows reviewers to compare data across contexts, participants, and other study characteristics [1]. Differences between study data may inform policy and practice and point towards areas that require further investigation, whereas similarities may increase the usefulness and relevance to different populations [1,[3][4][5][6].…”

Section: Utilitymentioning

confidence: 99%

“…This research methodology can clarify what is known and unknown about a subject matter. This research methodology is multidisciplinary in both its methods and application [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

The Use of Evidence Synthesis in the Context of Healthcare: A Literature Review Primer

Hariharan

2023

URNCST Journal

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Introduction: Evidence synthesis (ES) uses different systematic methodologies to compile a body of evidence on a given topic based on existing literature to help inform practice, policy, and future research decisions. There are multiple ways to categorize different types of ES. However, they differ in how they search, appraise, synthesize, and analyze data. Some of the most common ES forms include systematic, narrative, scoping, critical, environmental scans, and rapid reviews. Utility: ES offers a myriad of benefits. These methodologies provide an immediate response to a question using research that has already been approved, funded, and completed, highlighting potential applications in numerous non-research-focused disciplines. Additionally, when information is not readily available in the current literature, ES methodologies elucidate gaps in knowledge that otherwise would be masked. Finally, they enhance the development of novel strategies, studies, and theories by summarizing, appraising, and critiquing current literature despite not being a direct source of unknown information. Challenges: Several practical challenges inhibit the use of ES. To compile any form of ES, access to a wide range of databases and peer-reviewed journals is necessary, thus hindering feasibility for non-academic researchers and those in poorly funded research organizations. These challenges are often exacerbated in developing countries. Due to these barriers, ethical implications exist regarding the lack of inclusive evidence-building between scientists. Additionally, conducting a rigorous and rigid systematic review that analyzes every significant paper on a particular topic is highly time-consuming, thus hampering the effective utilization of ES in most labs. Limitations: ES techniques contain several inherent limitations. Firstly, research questions that are too specific such that existing literature is inadequate or questions that are too broad, such that existing literature is in excess, make ES methodologies weak in providing accurate answers. Additionally, to achieve objectivity, authors of ES studies need to create comprehensive inclusion/exclusion criteria. Unfortunately, this often fosters bias amongst different interpretations of the criteria, thus influencing what research gets included in the analysis. Subsequently, the validity of the entire ES method is jeopardized.

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“…Reporting the review is a single step (Kitchenham, 2004). In software engineering, the research questions can be adapted to software engineering issues such as assessing the effect of a software engineering technology, assessing the frequency or rate of the adoption of technology, identifying cost and risk factors associated with a technology, recognising the impact of technologies on reliability, reusability, performance and cost models, cost-benefit analysis of software technologies (Person et al, 2021).…”

Section: Planning the Review And Protocolmentioning

confidence: 99%

Geospatial Linked Data Proliferation in NMCAs: Systematic Literature Review

Čeh¹,

Tekavec²

2023

geod. vestn.

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This research focuses on a systematic literature review of the geospatial Linked Data (LD) publication at National Mapping and Cadastral Agencies in Europe (NMCA) responsible for land administration. We analysed scientific studies published from 2014 to 2023. Our research aimed to find out the reasons for the relatively slow adoption of geospatial data publication as LD. Therefore, we searched for the most common problems, solutions, and challenges for publishing prioritised data themes in NMCAs. Applied research methodology relies on well-established approaches such as analysing Population Problems, Intervention, Comparison, Outcomes, and Circumstances (PICOC) and backward snowballing. The eligibility process is presented by Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. We analysed nineteen extracted papers and identified twelve key issues from full-text reading. Frequency analyses resulted in the overview of the most frequently published geospatial themes as LD in several European countries. We addressed five research questions and concluded that in addition to systematic support for developing vocabularies and ontologies, trust, awareness, and knowledge about best practices could influence the success of LD publication at NMCAs.

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A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools

Cited by 4 publications

References 23 publications

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

The Challenges to Developing Smart Agricultural Village in the Industrial Revolution 4.0.

The Use of Evidence Synthesis in the Context of Healthcare: A Literature Review Primer

Geospatial Linked Data Proliferation in NMCAs: Systematic Literature Review

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