Research Information Management Research Articles

Retracted: “Internet + Artificial Intelligence” Human Resource Information Management System Construction Innovation and Research

Retracted: “Internet + Artificial Intelligence” Human Resource Information Management System Construction Innovation and Research

H2020 Lasting - current research information systems solutions in the waterborne transport

Throughout the document, an attempt will be made to contextualize the Research Management System concept, the type of architecture and the tools that could currently be interesting to be used by the waterborne sector, by a Top-Down analysis. Special emphasis will be put on the information needs, the form of the data, the typology and importance of each data for projects, patents, publications, papers, events and conferences. A bottom-up analysis will be conducted where the different data sources and project search engines currently available will be analysed in depth. Finally, a benchmarking of Research Information Management System (RIMS) recommendations will be made and conclusions as well as recommendations for the adoption of solutions and their later maintenance will be drawn.

Research on Grain Food Blockchain Traceability Information Management Model Based on Master-Slave Multichain.

Aiming at the problems such as slow traceability efficiency, poor sharing, and the difficulty of matching the throughput of a blockchain single chain structure due to the complexity of the grain food supply chain links, the large number of participants, and the large amount of data information, this paper proposes a grain food blockchain traceability information management model based on the master-slave multichain structure by analyzing the processes and data characteristics of each link in the grain food supply chain; on this basis, the PLEW consensus algorithm based on Raft + improved PoW algorithm is designed for the master chain, and the CI-PBFT consensus algorithm based on trusted information degree is designed for the slave chain. The master chain and slave chain are anchored to each other through hash locking, and the data is uploaded and queried through smart contracts. In order to verify the effectiveness of the model, the blockchain traceability system is designed and implemented based on Hyperledger Fabric2.2. At the same time, it is compared with the transaction throughput and traceability efficiency of the blockchain single chain structure. Through the safety analysis of the data information of a company in Hubei, the results show that the grain traceability system designed and implemented in this study has certain advantages over the blockchain single chain structure in all aspects. It can also solve the grain food security problems that consumers worry about, and provide reference for the research of grain blockchain traceability information management.

The structure and priorities of researchers' scholarly profile maintenance activities: A case of institutional research information management system

AbstractResearch information management systems (RIMS) have become critical components of information technology infrastructure on university campuses. They are used not just for sharing and promoting faculty research, but also for conducting faculty evaluation and development, facilitating research collaborations, identifying mentors for student projects, and expert consultants for local businesses. This study is one of the first empirical investigations of the structure of researchers' scholarly profile maintenance activities in a nonmandatory institutional RIMS. By analyzing the RIMS's log data, we identified 11 tasks researchers performed when updating their profiles. These tasks were further grouped into three activities: (a) adding publication, (b) enhancing researcher identity, and (c) improving research discoverability. In addition, we found that junior researchers and female researchers were more engaged in maintaining their RIMS profiles than senior researchers and male researchers. The results provide insights for designing profile maintenance action templates for institutional RIMS that are tailored to researchers' characteristics and help enhance researchers' engagement in the curation of their research information. This also suggests that female and junior researchers can serve as early adopters of institutional RIMS.

First Report of Southern Rust (Puccinia polysora) on Corn (Zea mays) in Michigan.

In Michigan, corn (Zea mays) is grown on 2.35 million acres with an annual production valued at $1.36 billion dollars (USDA-NASS). Southern rust is caused by the obligate biotrophic fungus Puccinia polysora Underw. and is often ranked in the top five most destructive corn diseases in the southern U.S. (Mueller et al. 2020). Yield losses due to southern rust in the northern U.S. have been considerable and estimated to be 231 million bushels from 2016 to 2019. In 2020 and 2021, corn leaf samples exhibiting signs typical of infection by P. polysora were collected from commercial production fields across Michigan. In 2020, samples were collected from two counties, Branch and Hillsdale. In 2021, samples were collected from 10 additional counties, Allegan, Barry, Calhoun, Eaton, Ingham, Kent, Montcalm, Shiawassee, Tuscola, and Van Buren. Uredinia of P. polysora were observed aggregated primarily on the upper leaf surface, light cinnamon brown to bright orange, ovular, and surrounded by yellow halos. Urediniospores were yellow to gold in the center, hyaline along the outer membrane, ellipsoid to obovoid, with short echinulations on the surface when viewed at 40x magnification under a light microscope. Urediniospores (n=180) measured 17 to 28 x 26 to 38 µm. No telia were observed. To confirm identification, the large subunit (28S) rDNA was amplified and sequenced with rust specific primers as described in Aime (2006) and Aime et al. (2018) on a sample collected from Shiawassee County in 2021. The resulting DNA sequence (GenBank Accession No. OL468037) shared 99.79% identity (932/934 bp) with P. polysora voucher BPI 863756 (GenBank Accession No. GU058024; Dixon et al. 2010). This report serves as the first documentation of southern rust in Michigan and an initial survey of its distribution throughout the state. Because of the ability of P. polysora spores to travel long distances via wind (Cammack 1959), it is likely that disease was present but not detected in additional counties not included in this report. Although widespread yield losses due to southern rust have not been documented in Michigan, there have been anecdotal reports of 30 bushels per acre losses in grain corn and 30% loss of tonnage from silage fields. Understanding the distribution of southern rust can help inform future disease management and corn breeding research. Furthermore, the distribution of southern rust is projected to move poleward by 15° by 2100 due to increasing global temperatures (Ramirez-Cabral et al. 2017), and the movement of southern rust into northern corn growing regions should be documented. Additional Michigan counties with confirmations of southern rust will continue to be reported via the corn IPMpipe https://corn.ipmpipe.org/.

Disease Information Dissemination Prevention and Risk Management Methods in the Blockchain Environment

With the advancement of technology and the arrival of the era of integrated media, big data, artificial intelligence, cloud computing, and virtual reality are gradually changing the ecology of public opinion. This will bring new challenges to the technical discovery, data analysis, and response of network disease dissemination to public opinion. Internet data barriers are still widespread. The specific requirements are to explore the application mode of blockchain technology to bring a better service experience to the people. Therefore, this paper focuses on the dissemination of disease public opinion information and risk management research in the blockchain environment. Furthermore, the application of advanced blockchain technology is used to seek breakthroughs in the field of risk management of network disease transmission and public opinion in terms of technology and data. This paper systematically sorts out the research results of domestic and foreign disease transmission network public opinion, public opinion risk management, and blockchain through comprehensive use of literature analysis, grounded research, empirical research, simulation research, and other research methods. Based on theories of the disease transmission network, public opinion, risk management, blockchain, and system dynamics, we conduct research on network public opinion and risk management of disease transmission in the block chain environment. At the theoretical level, the research in this paper can promote the risk management of disease transmission network public opinion in the blockchain environment and carry out the construction of the theoretical system to deepen the application of blockchain technology in the field of disease public opinion risk management. At the practical level, the research in this paper can guide the improvement of the effect of public opinion risk management. Then, blockchain technology is applied to manage the risk of disease public opinion. In future research, the theory of public opinion risk management will be further enriched. We will apply blockchain technology to develop the evolution of the risk of disease public opinion transmission, carry out research on public opinion management and other aspects, and at the same time, try the design and development of a blockchain public opinion system. In this way, the innovation of blockchain in the development and application of disease network public opinion research will be promoted.

Another Disaster: The Closing of the National Library of Medicines Disaster Information Management Research Center.

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Scientific research information management based on blockchain technology

As a supporting technology of Bitcoin to achieve the function of account management, blockchain technology has received extensive attention from all walks of life, especially in the financial field. Based on the successful experience of blockchain in the application of digital cryptocurrency, blockchain technology has also exerted an important influence on some aspects of scientific research information management, such as declaration, implementation, and conclusion. Thus, for resolving the problems of academic misconduct in scientific research information management, blockchain technology can be targeted for improvement according to each link of information management to improve the security of the management system. Combining the existing achievements and requirements in real applications, this paper explains characteristics of the blockchain technology and analyzes its disadvantages in scientific research information management compared with the traditional methods. Finally, this paper puts forward some suggestions for applications to provide a reference for the effective application of blockchain technology in scientific research information management.

The Value of Python Programming in General Education and Comprehensive Quality Improvement of Medical Students Based on a Retrospective Cohort Study.

Objective A retrospective cohort study was conducted to analyze the application value of Python programming in general education and comprehensive quality improvement of medical students. Methods A retrospective analysis was made on the application value of Python programming in the general education classroom of medical students from September 2020 to July 2021 by undergraduate students majoring in anesthesia in grade 2020, imaging in grade 2019, clinical in grade 2020, and laboratory sciences in grade 2020 in our university. A hundred students who used Python programming in general education class were divided into study group and control group. The teaching satisfaction, medical knowledge and lifelong learning ability, clinical skills, medical service ability, disease prevention, health promotion ability, interpersonal communication ability, and information management and research ability were compared between the two groups. Results In a comparison of teaching satisfaction between the two groups, the study group was very satisfied in 89 cases, satisfactory in 10 cases, and general in 1 case, and the satisfaction rate was 100.00%; the control group was very satisfied in 54 cases, satisfactory in 23 cases, general in 13 cases, and dissatisfied in 10 cases, and the satisfaction rate was 90.00%. The teaching satisfaction in the study group was higher than that in the control group, and the difference was statistically significant (P < 0.05). Compared with the control group, medical knowledge ability (basic knowledge, general education, and professional knowledge) and lifelong learning ability (learning concept and professional learning attitude) in the research group were significantly higher than those in the research group (P < 0.05). The scores of clinical skills (medical history analysis, basic diagnosis, treatment techniques, and disease analysis) and medical service ability (first aid ability, comprehensive analysis ability, and disease analysis ability) in the study group were significantly higher than those in the control group (P < 0.05). In terms of the ability of disease prevention and health promotion, the scores of disease prevention (health guidance, health education, and self-care) and health promotion ability (cooperative participation in diagnosis and treatment, guidance of medical and health work, and rational use of health resources) in the study group were higher than those in the control group, and the difference was statistically significant (P < 0.05). In the comparison of interpersonal communication ability, the scores of listening, expression, understanding, trust, medical terminology, and communication ability in the study group were higher than those in the control group, and the difference was statistically significant (P < 0.05). Comparing information management with research ability, the scores of information management ability (searching information, screening information, and sorting information) and research ability (arrangement ability, planning ability, and execution ability) in the research group were higher than those in the control group, and the data difference was statistically significant (P < 0.05). Conclusion The application of the Python programming method in general education and comprehensive quality improvement of medical students can effectively improve medical students' teaching satisfaction and medical knowledge such as lifelong learning ability, clinical skills, medical service ability, disease prevention, health promotion ability, interpersonal communication ability, and information management and research ability, which has a positive impact on the improvement of comprehensive quality.

Research on Evaluation Model of Hospital Informatization Level Based on Decision Tree Algorithm

In order to improve the weight calculation accuracy of hospital informatization level evaluation and shorten the evaluation time, a research method of hospital informatization level evaluation model based on the decision tree algorithm is proposed. Using the decision tree algorithm combining fuzzy theory and ID3, the decision tree is constructed to analyze the hospital information data. By means of questionnaire survey, expert experience, mathematical statistics, and in-depth interview, information facilities construction, information resources construction, information scientific research application, management information, and information guarantee are selected as the nodes of the decision tree to evaluate the hospital information level. Construct the structural equation model, standardize the data, extract the weight of each evaluation index, and complete the evaluation of hospital informatization level. The experimental results show that the weight calculation results of this method are basically consistent with the actual results, and the evaluation efficiency is improved.

Competency requirements in research information management and reporting: evidence from a national survey in Germany

Research information management (RIM) and reporting is an emerging, heterogeneous field of work for which there is currently no systematic overview of the performed tasks and required competencies. Such an overview would be valuable for training, further education and recruiting. This paper presents data on task areas and competency requirements from a national survey of personnel responsible for RIM, CRIS management and reporting in Germany (N =224). With the help of a factor-analytical design, we were able to identify task profiles, such as System development & data modeling and Communication with stakeholders. The task profiles were then compared with a competency model which we developed to support further education and recruiting in research information management. Implications for further development of the competency model are discussed.

Developing a national science & technology funding registry in Portugal

Funding information is one of the pillars of the research information ecosystem. Despite this, it is still very challenging to associate scientific outputs to all the entities that financially support a project and all the stakeholders involved. To tackle such limitation, PTCRIS-a national integrated research information management ecosystem-developed a new infrastructure to support the management of funding attributed to the scientific triad in the Portuguese scientific ecosystem: organizations, people and projects. The SciPROJ database is the new national database that aggregates funding records (national and international) that support science and technology activities carried out in Portugal.The SciPROJ data comes mostly from third-party systems, namely the funding entities issuing the records. Aligned with the best practices, the metadata at SciPROJ is recorded using the CERIF data model. The data profile for sharing SciPROJ's information follows OpenAIRE guidelines. A REST API service has been developed to support sharing and reuse of SciPROJ's information. Regardless of other uses, SciPROJ is currently integrated with the national curriculum management system-CIÊNCIAVITAE-for the automatic import of funding-and with Dimensions, a platform that offers services based on research information integration. Furthermore, it is currently undergoing SciPROJ's integration with OpenAIRE infrastructure, Clarivate and HEI CRIS systems, thereby, consolidating the purpose of promoting sharing and reuse of data. Besides contributing to interoperability, SciPROJ will also be the basis of added value services, such as, services to monitor compliance with Open Access policies, discovery services (Research Portal) and a business intelligence system that aims to support decision and strategic planning in the context of scientific research information.

Leveraging Axiomatic Design and Research Information Systems to Promote Research Outcomes at Public Universities

Due to the ever-stringent regulatory standards and financial pressure imposed by governments worldwide, public universities are striving to produce and deliver high quality knowledge by leveraging various organizational and technological tools. Despite their prominence and proliferation, research information management systems (RIMS) cover only the research management life-cycle of the institution and thereby presume that the scholars are actively engaged in research and are committed to feeding the system with accurate research data, which may not be the case at public universities. In this paper, we propose to leverage Axiomatic Design and Research Information Systems to support the entire research production life-cycle. The architecture of the proposed system is described in terms of a set of software modules, which may be incorporated into an open-source or a commercial Current Research Information System (CRIS). This will extend the CRIS functionality to cover the research production life-cycle in addition to the research management life-cycle making it well suited for developing research capacity at public universities.

Research Information Systems and Ethics relating to Open Science

Current research information systems (CRIS) evaluate research performance and are intended to contribute to the continuous improvement of research. Based on former research on the ethical dimensions of CRIS, our paper presents the results of a survey with a small sample of representatives of ethics committees from different European countries on ethical aspects of CRIS. Ethics committees and experts are rarely associated with CRIS-related projects. However, their opinion on ethical indicators and the implementation and use of a CRIS is undoubtedly essential for the future development and management of these systems. Against this background, our purpose is to provide a deeper understanding of the ethical aspects in the field of research information management, to show how CRIS represent ethical dimensions of scientific research and to suggest some adjustment of their development, implementation and use.

IRINS: Implementing a Research Information Management System in Indian Higher Education Institutions

An increasing number of organizations are encouraging and accepting the research information management system in the institute level to assess the research progress of the organization and bring out a report on scholarly communication activities. Open and commercial product on the Current Research Information System (CRIS) is emerging in the last decade. The Directory of Current Research Information system listed 25 CRIS system across European countries. The European Current Research Information System (euroCRIS) support the CRIS thought the European countries through the conference, working group and pioneer in the advocacy since 2002. This paper considers the recent development in the CRIS related activities around the world and recent progress in India. This paper describes the various challenges to setting up the RIM for the higher education institutions including identification of nodal officers, collecting faculty profile information, retrieving scholarly communication activities from internal and external sources, etc. Also, discuss the training programme to the nodal officer level and institute level to promote the academic identities and their importance. The paper also discusses the impact of the IRINS in the higher education system in India and its use case with different stakeholders such as students, scholars, faculty members, scientists, research administrators, funding agencies and policymakers, etc.

AN ANALYSIS OF FACULTY PROFILES ON IRINS OF DR. BABASAHEB AMBEDKAR OPEN UNIVERSITY, AHMEDABAD

The paper plans to study IRINS in general and analyse the faculty profiles of Dr. Babasaheb Ambedkar Open University concerning IRINS. The research tool comprises several faculty profiles, number of publications, department wise publications, resources impact and analysis of the top faculty profile, etc. IRINS is a web-based Research Information Management (RIM) service provided by the Information and Library Network Centre (INFLIBNET) in collaboration with the Central University of Punjab, Bathinda. It showcases the research contribution of the professionals working in and associated with the institution. The data is collected from the Indian Research Information Network System faculty profile of Dr. Babasaheb Ambedkar Open University (BAOU), Ahmedabad (https://baou.irins.org/) and the Indian Research Information Network System (https://irins.org/irins/).

Exploring the Intellectual Structure and International Cooperation in Information Management

To make a comprehensive literature review and identify the development trends, this study maps the intellectual structure of the research information management based on co-keyword analysis, the 2-tuple linguistic technique, and social network analysis. This study reveals the intellectual structure by analyzing the topological structure, conceptual structure, and strategic diagram. From the perspective of topological structure, the research of the information management field can be divided into three layers including the nucleus layer, middle layer, and marginal layer. In terms of the conceptual structure, the research of information management can be divided into four sub-fields including health information management, information systems, information technology, and information management application. The four subfields can be repartitioned into seven clusters by using a 2-tuple linguistic model, which means that the 2-tuple linguistic model can improve co-keyword analysis.

Knowledge Sharing through Social Networking Sites (SNSs): A Study of Pakistani Research Students

The present study investigated the knowledge-sharing behavior of library and information management researchers, using the lens of the theory of planned behavior. The study is quantitative and adopted a survey questionnaire as a data collection technique. The snowball sampling technique was considered suitable to recruit respondents to the study. Data were analyzed with the help of SPSS (20.0) and the ADANCO (2.0.1). The research findings confirm that subjective norms and perceived behavioral control have a significant impact on intentions to share knowledge, whereas knowledge sharing intentions have a statistically significant positive impact on knowledge sharing behavior through SNS among postgraduate students. Attitude towards knowledge sharing directly triggers knowledge sharing practices through social media networking sites. Intentions to share knowledge do not mediate the relationship of attitude and knowledge sharing behavior. The theory of planned behavior has widely been used to measure knowledge-sharing behavior in different sectors. However, the relationship between attitude, subjective norms, perceived behavior control, intentions to share knowledge within the domain of social media is explored first time in this study, particularly in the context of the library and information science post-graduate students.

Seven Important Theories in Information Management and Information System Empirical Research: A Systematic Review and Future Directions

AbstractThe fragmentation of fundamental theory has increasingly affected the development of information management (IM) and information system (IS) empirical research, while limited attempts have been made to systematically review the theories which are fundamental to the extant IM and IS literature. Therefore, based on the analysis of the empirical studies in the IM and IS field in the past 20 years, we identify seven relatively important but less summarized theories in the IM and IS field: transactive memory system (TMS), impression management, flow, structural holes, resource dependence theory (RDT), social presence theory (SPT), and the illusion of control (IC). Hence, we try to offer a systematic review of these theories by synthesizing the extant findings while identifying the possible directions for future studies. Our review made several significant contributions to both proposing theoretical and methodological trends in the respective theories.

Research on the Application of Information Construction of Scientific Research Management in Colleges and Universities

At present, the use of traditional office software in scientific research management in colleges and universities has been unable to meet the needs of the current scientific research management, so there is an urgent need to establish a scientific research management information platform. After multi-investigation and according to the specific needs, the scientific research management department has jointly developed and constructed the professional system of scientific research management in colleges and universities. After each module in the experimental phase, the scientific research management system realizes the functions of online project evaluation, performance evaluation, statistical report and so on. In view of this, this paper discusses the common problems in the informatization of scientific research management in colleges and universities, and puts forward some strategies for further informatization.