Research Information Management Research Articles

Feasibility study of establishing an integrated geographic information system: a case study of medical libraries

PurposeMedical libraries can extend their resources’ accessibility by creating a network through web-based geographical information system (WEBGIS) that connects physical and non-physical resources. Geographical information system (GIS allows) libraries to create strong connections with other libraries by establishing a shared server for loading and using digital information. This research aims to explore the feasibility of creating a unified GIS-based service system for medical libraries.Design/methodology/approachThe target population for this study includes a total of 32 medical libraries across three medical universities (in this case called A, B and C). A researcher-designed 34-item questionnaire was applied in this study.FindingsFindings revealed that the libraries affiliated with University A have the highest average (46.54%) and better situation in terms of all of the needed infrastructures. Furthermore, in terms of the technical infrastructure required for implementing the integrated WEBGIS, the libraries of University B are in a better situation in comparison with other libraries (64.55%). Weak technical infrastructure belongs to libraries affiliated with University C, with 59.17% availability of infrastructure. The findings underscored the existing gaps in various aspects and highlighted the need for further improvements, particularly in financial and legal aspects, to enhance the overall availability of infrastructure.Originality/valueThis study was conducted for the first time in medical science libraries. The findings of this research shed light on the shortages within the surveyed universities in terms of human infrastructure. Results highlight the need for financial, legal and technical support to bridge the gap between the current status and the desired situation. By focusing on improving the various infrastructural aspects, libraries can foster a conducive environment for the effective utilization of spatial information systems, ultimately benefiting academic research, education and overall information management in the field of medical sciences.

Understanding the individual labor supply and wages on digital labor platforms: A microworker perspective

The emergence of crowdsourcing as a new form of work has introduced a paradox among workers who receive small payments for piecemeal microwork yet continue to participate in microwork digital labor platforms (DLPs). To better understand what sustains microworkers’ participation, this study draws upon individual labor supply theory to quantitatively examine the impacts of microworkers’ motivations, perceptions, and preferences on their labor supply and wages. To explore the meaning of monetary rewards for microworkers, a qualitative inquiry explores microworkers’ spending patterns. Based on a survey of 306 microworkers on Amazon Mechanical Turk, our hierarchical regression analysis reveals that while individual motivations for monetary rewards, enjoyment, and microtime structure have some impact on the microwork labor supply and wages, their impact is limited. Our thematic analysis uncovers diverse meanings attached to microwork earnings. The two most noted are meeting subsistence needs and nonessential expenditures, both of which have positive effects on microwork wages. By investigating the elasticity of the microwork labor supply and wages and offering a nuanced understanding of monetary rewards, our study contributes to information management research on DLPs. Moreover, it provides practical insights for various stakeholders, including microworkers, requesters, and DLP operators.

Ask me anything: Daniel Hook

Daniel Hook is chief executive of Digital Science, a co-founder of the research-information management provider Symplectic, and of the Research on Research Institute. A theoretical physicist by training, he still does research in his spare time, with visiting positions at Imperial College London and Washington University in St Louis.

Modeling the Relationship among Digital Demographic Characteristics, Digital Literacy, and Academic Performance of Mathematics Major Students in an Online Learning Environment

The purpose of the study was to determine the digital demographic characteristics, digital literacy, and academic performance of students majoring in mathematics in an online learning environment, as well as to model the relationships between these variables. To measure and obtain the necessary data, the study employed a predictive-correlation research design and an adapted research questionnaire. A survey was conducted with a random sample of 322 students from the main and external campuses of the state university of interest. A series of regressions and path analyses were conducted to explore any significant variables that could possibly describe the relationships among the studied variables. Principally, the study found that the levels of information research, retrieval, and management completely and significantly mediated the relationships among the availability of technological devices, use of an electronic learning platform, and students' academic mathematics performance. In the model validation, the second model demonstrated the consistency of variables such as information research and retrieval and information management literacy in indirectly influencing the relationships between technology device availability and academic performance. A study may be conducted in conjunction with this study, to use the model devised in this study in other locales to further validate the model's overall consistency.

Akbulut, A. ve Şenay, B. A. (Editörler). (2023). Güncel Bilgi ve Belge Yönetimi Araştırmaları ve Uygulamaları. Hiperyayın. ISBN: 978-625-6482-70-8

This study aims to review the book titled “Current Information and Document Management Research and Practices” edited by Dr. Ayşenur Akbulut and Dr. Burcu Aydemir Şenay. The book includes 9 studies covering current research and practices in the field of Information and Documents Management.

Responsible Research Assessment and Research Information Management Systems

In the context of open science, universities, research-performing and funding organizations and authorities worldwide are moving towards more responsible research assessment (RRA). In 2022, the European Coalition for Advancing Research Assessment (CoARA) published an agreement with ten commitments, including the recognition of the “diversity of contributions to, and careers in, research”, the “focus on qualitative evaluation for which peer review is central, supported by responsible use of quantitative indicators”, and the “abandon (of) inappropriate uses in research assessment of journal- and publication-based metrics”. Research assessment (RA) is essential for research of the highest quality. The transformation of assessment indicators and procedures directly affects the underlying research information management infrastructures (also called current research information systems) which collect and store metadata on research activities and outputs. This entry investigates the impact of RRA on these systems, on their development and implementation, their data model and governance, including digital ethics.

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.

Enterprise Business Information Management Archive System under Computer Artificial Intelligence Technology

The enterprise business information management archive system is an indispensable and important tool in modern enterprise management. With the rapid development of computer artificial intelligence technology, its application research in enterprise business information management archives system has attracted widespread attention. This article aims to explore the application of computer artificial intelligence technology in this field and evaluate its impact on system performance and efficiency. This study used literature review and empirical analysis methods to systematically collect and analyze relevant research literature, and summarized the application of computer artificial intelligence technology in enterprise business information management archive systems. The research progress and application cases of machine learning, natural language processing, deep learning, and recommendation systems in this field were given special attention. Research has found that computer artificial intelligence technology has broad application prospects and potential in enterprise business information management archive systems.

Over a Decade of Social Commerce: A Bibliometric Analysis

Social commerce, a fairly new concept in the world of marketing has gained a lot of momentum in the last few years. Considered as a subset of e-commerce, it is an emerging area of research and this article aims to investigate the developments and trends in research on social commerce. Using bibliometric analysis, a detailed study of the research on social commerce from 2009 to 2021 has been conducted. Performance analysis and science mapping have been done on a total of 530 articles available in the Scopus database on social commerce. Data selection was performed following the Preferred Reporting Items for Systematic Reviews process. The descriptive analysis revealed that N. Hajli is the most prolific author and China is the most prolific country with the highest number of publications in the field of social commerce. Based on the h-index, the International Journal of Information Management and Electronic Commerce Research and Application were found to be the most impactful journals. The cluster analysis identified social commerce constructs, antecedents and consumer behaviour as the most trending themes. The study makes for a better understanding of the development in social commerce for both researchers and marketers. There is a lot of scope for research in this filed as international collaborations are increasing and new trends are emerging. This study uses one of the latest review techniques, that is, bibliometric analysis to study social commerce covering the longest period of research in the field, that is, from 2009 to 2021.

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.

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...

Ethical Issues of the Organization and Management of Research Information

The paper offers a comprehensive examination of the ethical considerations surrounding the management of research information within an organization. It includes a summary of survey findings and an overview of ongoing research efforts. Special attention is given to ethical standards pertaining to data quality, data models, and data formats, which are essential factors in organizing research knowledge. As open science continues to gain prominence, research ethics - such as integrity, openness, and transparency - become increasingly crucial. Adhering to these open science principles will play a pivotal role in determining future research funding. Hence, it is crucial to understand how current research information systems (CRIS), a particular type of knowledge organization systems, deal with matters concerning scientific misconduct and integrate ethical guidelines for both individuals and institutions into their data structures.

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.