A comparative study on characteristics of retracted publications across different open access levels

Purpose:Recently,global science has shown an increasing open trend,however,the characteristics of research integrity of open access(OA)publications have rarely been studied.The aim of this study is to compare the characteristics of retracted articles across different OA levels and discover whether OA level influences the characteristics of retracted articles.Design/methodology/approach:The research conducted an analysis of 6,005 retracted publications between 2001 and 2020 from the Web of Science and Retraction Watch databases.These publications were categorized based on their OA levels,including Gold OA,Green OA,and non-OA.The study explored retraction rates,time lags and reasons within these categories.Findings:The findings of this research revealed distinct patterns in retraction rates among different OA levels.Publications with Gold OA demonstrated the highest retraction rate,followed by Green OA and non-OA.A comparison of retraction reasons between Gold OA and non-OA categories indicated similar proportions,while Green OA exhibited a higher proportion due to falsification and manipulation issues,along with a lower occurrence of plagiarism and authorship issues.The retraction time lag was shortest for Gold OA,followed by non-OA,and longest for Green OA.The prolonged retraction time for Green OA could be attributed to an atypical distribution of retraction reasons.A comparative study on characteristics of retracted publications across different open access levels Research limitations:There is no exploration of a wider range of OA levels,such as Hybrid OA and Bronze OA.Practical implications:The outcomes of this study suggest the need for increased attention to research integrity within the OA publications.The occurrences offalsification,manipulation,and ethical concerns within Green OA publications warrant attention from the scientific community.Originality/value:This study contributes to the understanding of research integrity in the realm of OA publications,shedding light on retraction patterns and reasons across different OA levels.

Obsolescence determination of network information based on “double-proportion” method

Purpose:It is necessary to determine whether the value of network information exists or not from users’perspective.This study is to develop a new approach,called'double-proportion'method(DPM),to determine the point of information obsolescence.Design/methodology/approach:Firstly,DPM is produced and introduced with statistics in great detail.Secondly,two data sets from Qiangguo Forum and NetEase News are used to validate DPM.Finally,the distributions of lifetime of the two sets are compared and reasons for the differences are revealed.Findings:In Qiangguo Forum,posts with no comments within 17 h can be identified as obsolescence,which indicates that approximately 83%of posts information has died within24 h,92%died within 36 h and almost all died within 54 h;While in NetEase News,news without comments within 28 h can be identified as obsolescence.Research limitations:This study adopted comments as the only behavior indicator,for further study other indicators like page views,republished times need to be used,to exploit better solutions for information obsolescence.Practical implications:According to obsolescence determination,network managers can optimize webpages more rationally,delete aged information in time,preserve valuable information,help search engines ignore aged webpages,optimize reptiles’mechanisms,and help advertisers choose webpages rationally to advertise online.Originality/value:Firstly,DPM is designed from users’perspective to describe the lifetime of information;Secondly,DPM is easy to use.DPM merges and improves former methods by taking the long-tail theory and Pareto principle into consideration.

An empirical study on classification of patent life patterns

With the theoretical framework of patent information life cycle,this research studies the relationship between patents' life patterns and technological development stages of the relevant field,using life status in patent information life cycle as the research dimension. Data of patents issued in the field of wireless charging are retrieved from the United States Patent and Trademark Office Library. Citation information about these patents is also collected. By analyzing the temporal citation count data of patent information,the patents' life patterns using the RSD/P classification method are classified. This study found that the emergence of different life patterns of patent information has strong connection with the technological stage in which the patent information is located,and sleeping beauty patents have high hidden values. In the stage of technological development,attention should be paid to the identification of non-stationary patents. Rapid identification of high-value patents,i. e.,patents with certain life pattern,is instrumental to accelerate the development of technologies. This study provides a viable approach for identifying high-value patents of emerging technologies through empirical research.

An empirical research on the field of wireless charging based on patent life length

With the aid of patent life cycle theory,and from the perspective of patent life span,this paper choose the ‘times of citation-time sequence'data of patents as an observation index to research on related patents in the field of wireless charging by applying the adjusted ‘double-proportion'obsolescence method. The research reveals the rules of patent life span in the field of wireless charging,finding that the first 5 years since patents were authorized is the core period for the patents to play their full value,and also discovers the development law of merging technology patents.

Evaluation of Research Project on Integrated Management and Services of Urban Development Records, Archives, and Information

To evaluate the project "Research in integrated management and services of urban development records, archives, and information" in progress, this paper analyzes "why", "what", and "how" issues of relevant integration research about integrated management and services of urban development records, archives, and information based on a survey of literature at home and abroad. By a comparative study of current integration research status and features, the author gives a critical analysis of the strengths and weakness of the project and provides recommendations for future research.Cross disciplinary studies indicate that ideals of integration can add values to collaboration, innovation,and optimum in managing evidence, information, memory, and knowledge of built environment cross-culture, cross-discipline, cross-domain, and cross institution for enhancing competitiveness and productivity of business. Cross cultural studies indicate that integrated records, archives, and information management as a whole into capital construction project management process, organizational information resources management systems, and the construction of digital urban development archival repository through service-control, process-control, and product-control are fundamental to guarantee the characteristics and quality of records and records system to support evidence-based e-government,e-business, and the sustainability development of digital city. Present studies on integrated management and services of urban development records, archives, and information have limitations on too much emphasis on integration for collaboration and optimum but not enough studies on integration for innovation and broader use.

Large-scale data archiving: At the interface of archive science and computer science

Both computer science and archival science are concerned with archiving large-scale data,but they have different focuses.Large-scale data archiving in computer science focuses on technical aspects that can reduce the cost of data storage and improve the reliability and efficiency of Big Data management.Its weaknesses lie in inadequate and non-standardized management.Archiving in archival science focuses on the management aspects and neglects the necessary technical considerations,resulting in high storage and retention costs and poor ability to manage Big Data.Therefore,the integration of large-scale data archiving and archival theory can balance the existing research limitations of the two fields and propose two research topics for related research-archival management of Big Data and large-scale management of archived Big Data.

Structural origins of digital poverty in rural China

When information and communication technologies and information resources produce more GDP and social wealth, create more jobs, improve efficiency of governance and business, and increase residents’ income and life quality, they are challenging social resources distribution mechanism, poverty alleviation and social balanced development by nurturing digital poverty. The paper proposes three research questions: 1) What is the essence of digital poverty? 2) What are the typical categories of digital poverty phenomena? 3) What are the structural factors and how do they determine the different sorts of digital poverty?The author finished a large scale of and long time field studies on digital poverty in rural China, including 4 provinces and 2 municipalities. 337 rural residents participated in our in-depth interviews, focus groups and social experiments. Content analysis method is employed to construct definitions of digital poverty and structural poverty, categories of digital poverty, and structural origins. The paper defines digital poverty as a multi-dimensional phenomena and status of social individuals on 8 digital elements, including digitally physical tools, digital services, digital abilities, digital efforts, digital social norms, digital social support and digital social impacts. Based on the 8 core digital elements, I recognize and describe the following typical categories of digitally poor communities: physically poor communities, digitally illiterate communities, psychologically vulnerable communities, socially lonely communities, digitally idle communities, digital resisters, vain seekers, and the digitally extremely poor. Furthermore, structural poverty is defined in comparison with individual and cultural poverty, and structural origins of digital poverty are distinguished and proved by field evidences. Four structural factors covering economic capital, cultural capital, social capital and political capital are impacting typical sorts of digital poverty separately and comprehensively. Finally, 6 strategic reflections on digital poverty alleviation are proposed.

Fuel in the snowy weather or icing on the cake? Exploration of social network’s value in alleviation of digital poverty

The paper proposes the following research questions:How do different types of digital poverty phenomena overlap on social individuals?For what sort of digital poor people do social networks work as fuel in the snowy weather?And for what sort do social networks work as icing on the cake?In the paper,the author digs deeply into the case data from 117 digital poor people and 47 non-digital poor people in rural field research in six provinces and municipalities in China,objectively assesses their key features of digital poverty,and exactly describes their degrees and types of digital poverty.It is also the goal of the paper to find out the relationship between different types of social networks,especially strong ties and weak ties,and digital help-seeking behaviors of individuals of different digital poverty types overlapped.The study argues that social networks have no significant effect on reducing poverty degree of the digital extremely poor.The more an individual’s types of digital poverty overlap,the less effective support he/she gets from social networks.The less types of digital poverty overlap,the more likely he/she is to get effective support from social networks.Strong ties have a significant impact on reduction of poverty for the psychologically vulnerable,the digital illiterate,the digitally idle,the socially lonely and vain seekers.Weak ties play a significant role only for the socially lonely.

ICT acceptance behavior of rural digital poverty communities: Field reports from China’s six provinces and municipalities

Digital poverty, one significant profile of digital inequality, refers to the poor situations in which residents are difficult to approach, accept and use continuously information and communication technologies. Based on importing of the theories of technology acceptance behavior and IT continuance in digital poverty, the paper proposes two research questions: 1) How do digital poor communities in rural areas get access to and accept ICTs? How do they expect their future usage of ICTs? 2) What factors are typically pushing the rural residents towards acceptance of ICTs? The authors conducted field studies in seventeen rural communities in four provinces(Gansu, Anhui, Hunan, and Guizhou) and two municipalities(Tianjin and Chongqing) in fifty-six days between 2011 and 2013.We established the three stages of ICT acceptance behavior of the rural digitally poor which includes ICT access, ICT use, and ICT expectance, and further structured a three-layered transmission model, from objective contexts, subjective perception to actual ICT acceptance behavior. The objective contexts consist of individual’s personal attributes and external social environment. The subjective perception consists of the perception of ICT usability, the perceived ease of use, self-efficacy, negative perception of ICT, perceived ICT usage, and perception of information needs.

Theoretical Data Science: bridging the gap between domain-general and domain-specific studies

The entering into big data era gives rise to a novel discipline called Data Science.Data Science is interdisciplinary in its nature,and the existing relevant studies can be categorized into domain-independent studies and domain-dependent studies.The domain-dependent studies and domain-independent ones are evolving into Domain-general Data Science and Domain-specific Data Science.Domain-general Data Science emphasizes Data Science in a general sense,involving concepts,theories,methods,technologies,and tools.Domain-specific Data Science is a variant of Domain-general Data Science and varies from one domain to another.The most popular Domain-specific Data Science includes Data journalism,Industrial Data Science,Business Data Science,Health Data Science,Biological Data Science,Social Data Science,and Agile Data Science.The difference between Domain-general Data Science and Domain-specific Data Science roots in their thinking paradigms:DGDS conforms to data-centered thinking,while DSDS is in line with knowledge-centered thinking.As a result,DGDS focuses on the theoretical studies,while DSDS is centered on applied ones.However,DSDS and DGDS possess complementary advantages.Theoretical Data Science(TDS)is a new branch of Data Science that employs mathematical models and abstractions of data objects and systems to rationalize,explain and predict big data phenomena.TDS will bridge the gap between DGDS and DSDS.TDS contrasts with DSDS,which uses casual analysis,as well as DGDS,which employs data-centered thinking to deal with big data problems in that it balances the usability and the interpretability of Data Science practices.The main concerns of TDS are concentrated on integrating the data-centered thinking with the knowledge-centered thinking as well as transforming a correlation analysis into the casual analysis.Hence,TDS can bridge the gaps between DGDS and DSDS,and balance the usability and the interpretability of big data solutions.The studies of TDS should be focused on the following research purpose:to develop theoretical studies of TDS,to take advantages of active property of big data,to embrace design of experiments,to enhance causality analysis,and to develop data products.