Research Information Management Research Articles

One index, two publishers and the global research economy

ABSTRACT The emergence of a global science system after the second world war was spurred by transformations in academic publishing and information science. Amidst Russian-American technological rivalries, funding for science expanded rapidly. Elsevier and Pergamon internationalised journal publishing, whilst tools such as the Science Citation Index changed the way research was measured and valued. This paper traces the connections between the post-war expansion of academic research, new commercial publishing models, the management of research information and Cold War geopolitics. Today, the analysis and use of research metadata continues to revolutionise science communication. The monetisation of citation data has led to the creation of rival publishing platforms and citation infrastructures. The value of this data is amplified by digitisation, computing power and financial investment. Corporate ownership and commercial competition reinforce geographical and resource inequalities in a global research economy, marginalising non-Anglophone knowledge ecosystems as well as long-established scholar-led serials and institutional journals. The immediate future for academic publishing will be shaped by a growing divide between commercial and ‘community-owned’ open science infrastructures.

Application of Q-learning algorithm based on heterogeneous sensor networks in higher education teaching management

With the rapid advancement of information technology and online technologies, it has become imperative for all colleges and universities to address the challenge of leveraging modern management methods to enhance management efficiency, level, and practices. In the realm of educational institution management, the learning management system stands as the cornerstone of contemporary campus management and the entire campus computer network. In this article, the Q-learning algorithm, specifically applied to a heterogeneous cellular network, is employed to investigate the issues pertaining to teaching management in colleges and universities.The design and implementation of the university teaching management system mainly uses heterogeneous cellular networks to establish a physical model of the Q-learning algorithm, and then in the Rayleigh channel, the coverage factor and the system rate expression are derived in a closed form, and in a closed form Derive the energy efficiency expression, and then optimize the density of the basic micro-station algorithm to maximize performance. In the process of system design, this paper uses an algorithm to analyze the current research status of university teaching management, then proposes the research purpose and subject content, and analyzes the university's teaching management function and potential future functional requirements. When designing the university learning management system, it describes in detail the overall design concept, key technologies, system structure, and operating system structure and system topology. This research mainly focuses on the research of campus information management and Q learning algorithm. Based on the cellular network, a large number of campus management cases were analyzed and data fitting at the same time, and a set of Q-learning algorithm teaching management system based on heterogeneous cellular network was designed.

Impact of community service on university performance and efficiency

Purpose This study aims to analyze the effectiveness and efficiency of research-based community service programs in Indonesia that used government funds in 2017–2021. Design/methodology/approach The design of this research is a quantitative research method using a data envelopment analysis to evaluate 370 leading universities in Indonesia. Furthermore, six analytical models were considered to compare effectiveness and efficiency between universities. It involved two resource (budget and staff academic involved), three output (intellectual property, prototype and publication) and three outcome variables (economic impact, social impact and capacity building). Findings The findings showed that several universities are considered necessary, with great potential to increase output and outcome efficiency in community involvement. The study mapped and divided the position of 370 universities for additional information. The effectiveness aspect provides another perspective in assessing the performance of tertiary institutions in Indonesia and can be an option for evaluating research performance to improve the quality of output. Originality/value The authors use data from research and community service management information systems used, both the resources used and the results. Efficiency and effectiveness of 370 universities were compared in this study, including comparing their position on the previous assessment with the assessment of the results of this study. Approach to the concept of Mandl et al. (2008) regarding the relationship between input, output and outcome as the main component of the indicators, the authors apply to analyze efficiency and effectiveness.

Insights from 20 years of mammal population research in Indonesia

Abstract Mammal populations are declining in biodiverse tropical regions. Global analyses have identified Indonesia as a hotspot of vertebrate decline, although relatively few data are available to substantiate these claims. We reviewed research articles published during 2000–2020 on 104 medium-sized to large terrestrial mammal species found in Indonesia to help inform conservation management and future research. We identified 308 peer-reviewed studies published in English or Bahasa Indonesia, with an increase in publication rate (articles published per year) over time. Studies of species distributions dominated the literature, followed by publications on abundance, species diversity and combinations of these topics. Most publications concerned single-species studies conducted at a single location and a single point in time. We identify four key issues that should be addressed by future research and conservation efforts: (1) disproportionate focus on a small number of species; (2) geographical bias towards west Indonesia (Sumatra, Kalimantan and Java–Bali), with few published studies from central (Sulawesi, Nusa Tenggara and Maluku) and east (Papua) Indonesia; (3) limitations to survey design, sampling effort and data analysis; and (4) lack of long-term wildlife population studies. We also note challenges local researchers face in publishing their studies in international journals because of language barriers and costs. Greater use of existing biodiversity data and continued capacity building for local researchers, particularly those in central and east Indonesia, are critical to effectively guide future wildlife monitoring and improve the conservation status of Indonesian mammals.

Moving from piecemeal to systematic: Reprioritizing how academic libraries approach research information management

This paper is based on a lightening talk given at the 2023 NISO Plus conference. The authors explore how research information management (RIM) workflows at universities are increasingly intersecting with library workflows, particularly regarding compliance with federal funding and preservation of the institution’s scholarly record. This paper outlines one academic library’s plan to shift from thinking about library-supported RIM services as a piecemeal approach to a more systematic approach that prioritizes open infrastructure. Though in its early stages of implementation, the authors seek to examine current RIM systems and services at their institution, expand on the current findings of U.S. activities brought forth in reports produced by OCLC and Lyrasis, and to identify local opportunities for library-supported RIM tools/services that are open and transparent. Specifically, this paper emphasizes the implementation and adoption of persistent identifiers, such as ORCID, but discussion will also cover other RIM systems and services.

Conversations on the Invisibility of PIM, Approaching Themes, and New Avenues of Research

ABSTRACTThis short paper reflects on previous personal information management (PIM) research using the theme of “invisible PIM.” Three scholars gathered to reflect on how this theme is relevant to their research. After comparing reflections, the following threads of invisibility are highlighted as holding potential for future exploration: the role that PIM can play in reinforcing invisibility, the concept of maintaining information over time as being more likely to be labeled as invisible labor, and a focus on non‐work experiences of sample populations. This work in progress concludes with suggestions of how reflecting on themes versus following PIM activities (a departure from previous practices for these researchers) was a useful activity to think about a future PIM research agenda.

Development and preliminary validation of an open access, open data and open outreach indicator.

We present the development and preliminary validation of a new person-centered indicator that we propose is named "OADO" after its target concepts: Open Access (OA), Open Data (OD) and Open Outreach (OO). The indicator is comprised of two factors: the research factor indicating the degree of OA articles and OD in research; and the communication factor indicating the degree of OO in communication activities in which a researcher has participated. We stipulate that the weighted version of this new indicator, the Weighted-OADO, can be used to assess the openness of researchers in relation to their peers from their own discipline, department, or even group/center. The OADO is developed and customized to the needs of Elsevier's Research Information Management System (RIMS) environment, Pure. This offers the advantage of more accurate interpretations and recommendations for action, as well as the possibility to be implemented (and further validated) by multiple institutions, allowing disciplinary comparisons of the open practices across multiple institutes. Therefore, the OADO provides recommendations for action, and enables institutes to make informed decisions based on the indicator's outcome. To test the validity of the OADO, we retrieved the Pure publication records from two departments for each of the five faculties of the University of Southern Denmark and calculated the OADO of 995 researchers in total. We checked for definition validity, actionability, transferability, possibility of unexpected discontinuities of the indicator, factor independence, normality of the indicator's distributions across the departments, and indicator reliability. Our findings reveal that the OADO is a reliable indicator for departments with normally distributed values with regards to their Weighted-OADO. Unfortunately, only two departments displayed normal distributions, one from the health sciences and one from engineering. For departments where the normality assumption is not satisfied, the OADO can still be useful as it can indicate the need for making a greater effort toward openness, and/or act as an incentive for detailed registration of research outputs and datasets.

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

Research and Development of Scientific Research Management Information System in Higher Vocational Colleges Based on Distributed Block Technology

Research and Development of Scientific Research Management Information System in Higher Vocational Colleges Based on Distributed Block Technology

Building Capacity for Research Ethics Committees in Uganda.

Timely communication from Research Ethics Committees (REC) to researchers is essential to meet deadlines. We conducted a capacity building program for REC members, REC and research administrators, and researchers from seven RECs in Uganda in order to improve the research regulatory approval cycle. The training was delivered from March 2020 to July 2021. Trainees were evaluated using pre and post-training tests. There was an increase in the average score from 38% to 53% in pre and post-training test respectively for the personal effectiveness and leadership programme for REC and research administrators. There was an increase in the average score of from 53.9% to 70.1% in pre and post-training test respectively for training on emerging and complex study designs. We achieved shift in knowledge and skills in use of the National Research Information Management System. We recommend regular training of REC members and administrators for efficient review of research protocols.

Assessing the impact of COVID-19 pandemic on the health of residents and the healthcare system in Alberta, Canada: an observational study—The Alberta POST-COVID Follow-up Study

IntroductionVery little is known about how the COVID-19 pandemic has affected the health of residents and the healthcare system in Alberta, Canada. The purpose of this study is to establish...

Russian Web Tables: A Public Corpus of Web Tables for Russian Language Based on Wikipedia

Corpora that contain tabular data such as WebTables are a vital resource for the academic community. Essentially, they are the backbone of any modern research in information management. They are used for various tasks of data extraction, knowledge base construction, question answering, column semantic type detection and many other. Such corpora are useful not only as a source of data, but also as a base for building test datasets. So far, there were no such corpora for the Russian language and this seriously hindered research in the aforementioned areas. In this paper, we present the first corpus of Web tables created specifically out of Russian language material. It was built via a special toolkit we have developed to crawl the Russian Wikipedia. Both the corpus and the toolkit are open-source and publicly available. Finally, we present a short study that describes Russian Wikipedia tables and their statistics.

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.