Retraction data can bring more insights and implications for not just authors and their institutions, but funders, policy-makers, and editors

2019 ◽  
Author(s):  
Quan-Hoang Vuong
Keyword(s):  
Research Field ◽  
Academic Community ◽  
Lessons Learned ◽  
Sql Server ◽  
Scientific Enterprise ◽  
Positive Role ◽  
Data Set ◽  
Policy Makers ◽  
Social Responsibilities ◽  
Open Review

Although retractions are commonly considered as negative outcomes, the fact remains that they play a positive role in the academic community, for instance, help scientific enterprise perform its self-correcting function; become lessons learned for future researchers; represent social responsibilities or let open review communities offer better "monitoring services" in keeping problematic studies in check. This study provides retraction data, which is believed to give useful insights into retraction and its powerful function. By using RetractionWatch data, a database built based on SQL Server 2016, and some home-made AI, a data set of 18,603 retractions from 1753 to 2019 February covering 127 research field was contributed. The results show a long way of retraction with the popularity of retraction practices since 1999, and the burden in 2010; IEEE, Elsevier, and Springer account for nearly 60% of all retracted papers globally with the record belongs to IEEE even though it is not the organization that publishes most journals; a paper could be retracted for diverse reasons but "fake peer review" becomes a major one.

scholarly journals Characteristics of retracted articles based on retraction data from online sources through February 2019

2020 ◽  
Author(s):  
Quan-Hoang Vuong ◽  
Viet-Phuong La ◽  
Tung Manh Ho ◽  
Thu-Trang Vuong ◽  
Toan Manh Ho
Keyword(s):  
Data Cleaning ◽  
Academic Community ◽  
Sql Server ◽  
Scientific Enterprise ◽  
Positive Role ◽  
Scientific Communities ◽  
Social Responsibilities ◽  
The Past ◽  
Research Fields ◽  
Online Sources

Purpose:Although retractions are commonly considered to be negative, the fact remains that they play a positive role in the academic community. For instance, retractions help scientific enterprise perform its self-correcting function and provide lessons for future researchers; furthermore, they represent the fulfillment of social responsibilities, and they enable scientific communities to offer better monitoring services to keep problematic studies in check. This study aims to provide a thorough overview of the practice of retraction in scientific publishing from the first incident to the present.Method:We built a database using SQL Server 2016 and homemade artificial intelligence tools to extract and classify data sources including RetractionWatch, official publishers’ archives, and online communities into ready-to-analyze groups and to scan them for new data. After data cleaning, a dataset of 18,603 retractions from 1,753 (when the first retracted paper was published) to February 2019, covering 127 research fields, was established.Results:Notable retraction events include the rise in retracted articles starting in 1999 and the unusual number of retractions in 2010. The Institute of Electrical and Electronics Engineers, Elsevier, and Springer account for nearly 60% of all retracted papers globally, with Institute of Electrical and Electronics Engineers contributing the most retractions, even though it is not the organization that publishes the most journals. Finally, reasons for retraction are diverse but the most common is “fake peer review”.Conclusion:This study suggests that the frequency of retraction has boomed in the past 20 years, and it underscores the importance of understanding and learning from the practice of retracting scientific articles.

scholarly journals Characteristics of retracted articles based on retraction data from online sources through February 2019

2020 ◽  
Vol 7 (1) ◽  
pp. 34-44
Author(s):  
Quan-Hoang Vuong ◽  
Viet-Phuong La ◽  
Manh-Tung Ho ◽  
Thu-Trang Vuong ◽  
Manh-Toan Ho
Keyword(s):  
Data Cleaning ◽  
Academic Community ◽  
Sql Server ◽  
Scientific Enterprise ◽  
Positive Role ◽  
Scientific Communities ◽  
Social Responsibilities ◽  
The Past ◽  
Research Fields ◽  
Online Sources

Purpose: Although retractions are commonly considered to be negative, the fact remains that they play a positive role in the academic community. For instance, retractions help scientific enterprise perform its self-correcting function and provide lessons for future researchers; furthermore, they represent the fulfillment of social responsibilities, and they enable scientific communities to offer better monitoring services to keep problematic studies in check. This study aims to provide a thorough overview of the practice of retraction in scientific publishing from the first incident to the present.Methods: We built a database using SQL Server 2016 and homemade artificial intelligence tools to extract and classify data sources including RetractionWatch, official publishers’ archives, and online communities into ready-to-analyze groups and to scan them for new data. After data cleaning, a dataset of 18,603 retractions from 1,753 (when the first retracted paper was published) to February 2019, covering 127 research fields, was established.Results: Notable retraction events include the rise in retracted articles starting in 1999 and the unusual number of retractions in 2010. The Institute of Electrical and Electronics Engineers, Elsevier, and Springer account for nearly 60% of all retracted papers globally, with Institute of Electrical and Electronics Engineers contributing the most retractions, even though it is not the organization that publishes the most journals. Finally, reasons for retraction are diverse but the most common is “fake peer review”.Conclusion: This study suggests that the frequency of retraction has boomed in the past 20 years, and it underscores the importance of understanding and learning from the practice of retracting scientific articles.

scholarly journals Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned

2020 ◽  
Vol 12 (15) ◽  
pp. 6001 ◽  
Author(s):  
Eduardo Graells-Garrido ◽  
Vanessa Peña-Araya ◽  
Loreto Bravo
Keyword(s):  
Transportation Planning ◽  
Data Science ◽  
Cost Effective ◽  
Lessons Learned ◽  
Data Driven ◽  
Mobile Phone Data ◽  
Data Set ◽  
Policy Makers ◽  
Massive Data Set ◽  
Planning Methodology

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and cost-effective solution to a problem, its adoption by relevant stakeholders is not guaranteed due to adoption barriers such as lack of interpretability and interoperability. In this context, this paper proposes a methodology toward bridging two disciplines, data science and transportation, to identify, understand, and solve transportation planning problems with data-driven solutions that are suitable for adoption by urban planners and policy makers. The methodology is defined by four steps where people from both disciplines go from algorithm and model definition to the development of a potentially adoptable solution with evaluated outputs. We describe how this methodology was applied to define a model to infer commuting trips with mode of transportation from mobile phone data, and we report the lessons learned during the process.

scholarly journals Review article. Factors leading to the occurrence of flood fatalities: a systematic review of research papers published between 2010 and 2020

2021 ◽  
Author(s):  
Olga Petrucci
Keyword(s):  
Systematic Review ◽  
Developing Countries ◽  
Human Life ◽  
Academic Community ◽  
Lessons Learned ◽  
Policy Makers ◽  
Research Findings ◽  
Risk Managers ◽  
The Impact

Abstract. Floods kill several people every year in both developed and developing countries. The transfer of research findings from the academic community to practitioners, policy-makers and citizens may reduce the impact of floods on mortality. This systematic review analyzes 44 scientific articles extracted from WOS and SCOPUS databases written in English, published between 2010 and 2020, and focuses on flood fatalities. The first main finding of this review is the classification of drivers of flood mortality into two groups: the first group relates to the environment and the second group relates to the victims. The second main finding is the identification of strategies to practically cope with the identified drivers of flood fatalities. The main lacks of the review concern: a) the unavailability of papers based on flood fatality occurrence in developing countries and b) the absence of data focusing on people who have survived floods. This review amplifies useful findings, best practices, and lessons learned that can be useful for administrators, risk managers, and teachers of primary and secondary schools to mitigate the impact of future floods on human life.

An Enhancement of Feature Selection Algorithm for EDM: A Review

2018 ◽  
Vol 8 (5) ◽  
pp. 29
Author(s):  
Manpreet Kaur ◽  
Chamkaur Singh
Keyword(s):  
Feature Selection ◽  
Educational Data Mining ◽  
Problem Formulation ◽  
Research Area ◽  
Education Quality ◽  
Educational Institutions ◽  
Selection Algorithm ◽  
Positive Role ◽  
Data Set ◽  
Selection Algorithms

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.

Lessons learned from a search for common ground

2021 ◽  
Vol 102 (5) ◽  
pp. 29-32
Author(s):  
Rick Hess ◽  
Pedro Noguera
Keyword(s):  
School Choice ◽  
Common Ground ◽  
Social And Emotional Learning ◽  
Lessons Learned ◽  
Policy Makers ◽  
Teachers College ◽  
Social And Emotional ◽  
Education Leaders ◽  
K 12 ◽  
Common Understanding

In 2020, Rick Hess and Pedro Noguera engaged in a long-running correspondence that tackled many of the biggest questions in education — including topics like school choice, equity and diversity, testing, privatization, the achievement gap, social and emotional learning, and civics. They sought to unpack their disagreements, better understand one another’s perspectives, and seek places of agreement or points of common understanding. Their correspondence appears in their book, A Search for Common Ground: Conversations About the Toughest Questions in K-12 Education (Teachers College Press, 2021). In this article, they reflect on the exercise, what they learned from it, and what lessons it might offer to educators, education leaders, researchers, and policy makers.

scholarly journals Integrating a Sport-Based Trauma-Sensitive Program in a National Youth-Serving Organization

2021 ◽  
Author(s):  
M. Shaikh ◽  
C. Bean ◽  
L. Bergholz ◽  
M. Rojas ◽  
M. Ali ◽  
...  
Keyword(s):  
Program Development ◽  
Program Implementation ◽  
Effective Means ◽  
Academic Community ◽  
Lessons Learned ◽  
Community Context ◽  
Research Approach ◽  
Prevention Measures ◽  
Action Research Approach ◽  
Interdisciplinary Partnership

AbstractThere is a pressing need to equip youth-serving community organizations to respond to the unique needs of trauma-exposed children. Early prevention measures can be an effective means of redirecting children to self-regulatory healing, while facilitating their transition toward strength-based thriving. Sport can offer a powerful opportunity to reach these children; however there remains little information on how to effectively develop, deliver, evaluate, and sustain trauma-sensitive sport programs in a community context. The purpose of this paper is to outline a case study of integrating sport-based trauma-sensitive practices with BGC Canada’s national Bounce Back League program. An interdisciplinary partnership of academic, community, and practice experts used a community-based participatory action research approach, paired with a knowledge translational approach, to guide the process of program development. Mixed methods (e.g., surveys, logbooks, interviews, focus groups, online communications) were used to generate ongoing insights of staff’s training experiences, successes and challenges of program implementation, and potential impact of program on club members. Several stages of program development are described, including: (a) collaboratively planning the program; (b) piloting the program to three clubs; (c) adapting the program using pilot insights; (d) expanding the adapted program to ten clubs; and (e) creating opportunities to maintain, sustain, and scale-out practices throughout grant duration and beyond. Lessons learned regarding the leadership team’s experiences in terms of developing, adapting, and integrating trauma-sensitive practices in this community context are shared.

scholarly journals Osmotically inactive sodium and potassium storage: lessons learned from the Edelman and Boling data

2016 ◽  
Vol 311 (3) ◽  
pp. F539-F547 ◽  
Author(s):  
Minhtri K. Nguyen ◽  
Dai-Scott Nguyen ◽  
Minh-Kevin Nguyen
Keyword(s):  
Linear Regression ◽  
Measurement Errors ◽  
Linear Regression Analysis ◽  
Sodium Concentration ◽  
Lessons Learned ◽  
Dynamic Changes ◽  
Data Set ◽  
Storage Pool ◽  
Total Body ◽  
Sodium And Potassium

Because changes in the plasma water sodium concentration ([Na+]pw) are clinically due to changes in the mass balance of Na+, K+, and H2O, the analysis and treatment of the dysnatremias are dependent on the validity of the Edelman equation in defining the quantitative interrelationship between the [Na+]pw and the total exchangeable sodium (Nae), total exchangeable potassium (Ke), and total body water (TBW) (Edelman IS, Leibman J, O'Meara MP, Birkenfeld LW. J Clin Invest 37: 1236–1256, 1958): [Na+]pw = 1.11(Nae + Ke)/TBW − 25.6. The interrelationship between [Na+]pw and Nae, Ke, and TBW in the Edelman equation is empirically determined by accounting for measurement errors in all of these variables. In contrast, linear regression analysis of the same data set using [Na+]pw as the dependent variable yields the following equation: [Na+]pw = 0.93(Nae + Ke)/TBW + 1.37. Moreover, based on the study by Boling et al. (Boling EA, Lipkind JB. 18: 943–949, 1963), the [Na+]pw is related to the Nae, Ke, and TBW by the following linear regression equation: [Na+]pw = 0.487(Nae + Ke)/TBW + 71.54. The disparities between the slope and y-intercept of these three equations are unknown. In this mathematical analysis, we demonstrate that the disparities between the slope and y-intercept in these three equations can be explained by how the osmotically inactive Na+ and K+ storage pool is quantitatively accounted for. Our analysis also indicates that the osmotically inactive Na+ and K+ storage pool is dynamically regulated and that changes in the [Na+]pw can be predicted based on changes in the Nae, Ke, and TBW despite dynamic changes in the osmotically inactive Na+ and K+ storage pool.

Hazardous Substances in Electronics: The Effects of European Union Risk Regulation on China

2012 ◽  
Vol 3 (4) ◽  
pp. 477-487 ◽  
Author(s):  
Katja Biedenkopf
Keyword(s):  
European Union ◽  
Chinese Economy ◽  
Lessons Learned ◽  
Hazardous Substances ◽  
Risk Regulation ◽  
Policy Makers ◽  
Global Competitiveness ◽  
Legal Structure ◽  
Chinese Policy ◽  
The Eu

This article argues that European Union (EU) risk regulation of hazardous substances in electrical and electronic equipment (EEE) was both a trigger and formative factor in the development of similar Chinese regulation. The attractiveness and global interdependence of the EU market in EEE impelled a response from Chinese policy-makers. Fostering the domestic industry's global competitiveness was one of the driving factors behind Chinese substance restriction regulation. Additionally, symbolic emulation and growing domestic environmental problems related to waste EEE infl uenced the Chinese policy agenda. Chinese substance restriction rules are not, however, a mere copy of EU regulation. The limited domestic capacity of the Chinese economy, administration, and legal structure to adopt policies similar to those of the EU explains, to a large extent, the emergence and partial persistence of differences between EU and Chinese risk regulation. In the course of the implementation and evaluation of Chinese substance restriction regulation, lessons learned from the EU’s experience increasingly contributed to shaping the policy, leading to growing convergence.

scholarly journals TARGETED ADVERTISING IN THE BREAKFAST CEREAL INDUSTRY

2017 ◽  
Vol 49 (3) ◽  
pp. 382-399 ◽  
Author(s):  
JOSHUA BERNING ◽  
ADAM N. RABINOWITZ
Keyword(s):  
Product Differentiation ◽  
Food Product ◽  
Television Advertising ◽  
Breakfast Cereal ◽  
Data Set ◽  
Policy Makers ◽  
Relationship Of ◽  
Cereal Industry ◽  
The Relationship ◽  
Insight Into

AbstractWe examine the relationship of product characteristics of ready-to-eat breakfast cereal and targeted television advertising to specific consumer segments. We compile a unique data set that includes brand-packaging characteristics, including on-box games, nutrition information, and cobranding. We find that the relationship of television advertising and a cereal's brand-packaging characteristics varies by target audience. Our results provide insight into understanding how manufacturers strategically utilize branding, packaging, and television advertising. This can help industry and policy makers develop food product advertising policy. This analysis extends to other product markets where extensive product differentiation and promotion are present as well.

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