Research Information Management Systems

ABSTRACTPrior studies have identified a need for engaging researchers in providing and curating their identity data. This article reports findings from a qualitative study exploring how researchers use and participate in online research information management (RIM) systems and their requirements for information quality in RIM systems. The purpose of the study was to enhance the knowledge of how to design scalable and reliable solutions for research-identity data curation by examining researchers' motivations for participating in online RIM systems and contributing to research-identity data curation. The findings identify nine activity-related motivations for using RIM systems, five types of information-quality problems in RIM systems, and 12 information-quality criteria that researchers perceived to be important in RIM systems.This study also identified three levels of participation in RIM systems: Readers, Personal Record Managers, and Community Members. Design recommendations were suggested for institutional repositories and RIM systems to provide improved services.

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.

PurposeThe purpose of this paper is to share the experiences and to highlight lessons learned from the establishment of the institutional repository (IR) while collaborating in a state-wide initiative to showcase the scholarly output of New Jersey researchers.Design/methodology/approachThe authors discuss how they used the case study method to collaborate with multiple stakeholders from across their university to establish an IR to support the University’s vision plan.FindingsThe authors found through strong relationship building and consistent outreach that they could launch a successful IR while enhancing the scholarly profile of their university faculty.Originality/valueThe authors contend that they have not exceeded the up to 20% overlap is okay according to Emerald’s originality policy.

Human–computer interaction research in the management information systems discipline

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.

Strategies for the Management and Adoption of Impact Capture Processes within Research Information Management Systems

This website review provides an in-depth analysis of the Pure Portal by Elsevier, a prominent Research Information Management System (RIMS) designed to streamline research management, enhance academic visibility, and foster interdisciplinary collaboration. The review explores Pure Portal’s Primary features, including comprehensive researcher profiles, analytics, and reporting tools, open-access compliance tracking, and collaboration mapping. By consolidating key research data and facilitating the integration of various metrics, Pure Portal allows institutions to showcase their research on a global platform, helping researchers build robust academic profiles and attract collaborations. This study discusses the system's benefits, such as its role in boosting institutional reputation, simplifying research data management, and enabling data-driven decisions. Challenges related to costs, customization limitations, and data privacy concerns are also addressed, institutions like the University of St Andrews and Manipal Academy of Higher Education (MAHE) illustrate the impact of the platform. This study is a resource for academic visibility, academic impact, and efficient management.

Scientific research management faces critical challenges regarding data fragmentation, lack of transparency, and centralized trust risks. Traditional Research Information Management Systems (RIMS) often operate in silos, hindering crossinstitutional collaboration and failing to provide immutable provenance for intellectual property. To address these issues, this paper proposes a comprehensive blockchain-based system that establishes a trusted, transparent, and automated infrastructure for the entire research lifecycle. We introduce a hybrid storage architecture that ensures scalability by decoupling raw data storage from on-chain metadata. Furthermore, we design two novel cryptographic mechanisms tailored for the scientific community: (1) a Decentralized Collaborative Authorization framework based on BLS threshold signatures to enable secure, multi-party governance for critical actions such as fund disbursement; and (2) a Privacy-Preserving Existence Verification mechanism utilizing Pedersen commitments and ZKPs to resolve the conflict between early copyright assertion and data confidentiality. Simulation results demonstrate that the proposed system achieves a peak throughput of over 5,000 TPS with sub-second latency and maintains constant-time verification overhead regardless of the consortium scale, proving its feasibility and efficiency for largescale academic alliances.

Emerging Good Practice in Managing Research Data and Research Information within UK Universities

This article examines the progress of MIS as a scholarly field of study since 1980. In this examination, MIS is identified as emerging from a supporting base of three foundational fields: computer science, management science, and organization science. Hypotheses related to this emergence are tested by an analysis of data on 271 MIS articles published during the period 1980-84 in six academic journals and one conference proceedings. Each article is described by its work point (the field of study represented by the publication in which the article appears) and its reference point (as represented by the distribution of the article’s publication citations). Results of the analysis support the proposition that MIS is emerging as a distinct field of study, with its own cumulative tradition.

This paper demonstrates the impact that question order can have in using survey research in management information systems (MIS). Using data from a survey of 379 companies concerning electronic data interchange (EDI), significant differences are found in the evaluation of successful implementations. The overall evaluation of success is increased (or decreased) depending upon alternative versions of question order. In addition, the analyses show that the main effects from question order interact in different ways with respondent characteristics, including functional area, educational background and being a systems user. The bias tends to be consistent for some types of respondents, such as systems users. However, other classes of respondents, especially persons with professional backgrounds in systems or MIS, are influenced in more complex ways by question order. The order in which queries regarding systems output and quality occur tends to be especially important in anchoring subsequent responses and overall assessments. The final section addresses corrective actions and future research.

Over years, research in Management Information Systems (MIS) has resulted in significant implications for organizations in a wide variety of areas by using socio-technical perspective, which has helped to deliver more business focused solutions. This study reports the results of an empirical examination of the effect of IT governance framework based on COBIT and Organizational Knowledge Pillars in enhancing the IT Governance framework (Business / IT Strategic alignment, Business value delivery, risk management, Resource management, performance measurement) to enhance the business intelligence application and usability within the organization. Quantitative method is adopted for answering the research questions. A questionnaire was used for data collection after contacting several companies, in addition confirmatory factor model and structural equation model were developed and tested and the overall results of the empirical investigation supported the general framework. Using confirmatory factor analysis techniques, the effects of the combination between IT governance factors seen by ITGI and organizational knowledge pillars of the firm on BI Systems application in it were tested and confirmed and the models were also verified. Several statistical methods were used for data analysis; moreover different statistical tools as software packages were employed such as SPSS 17 and EQS 6.1. The study proposes that knowledge management (KM) and IT Governance framework are vital organizational abilities that support business intelligence application; it also observes that combination of IT governance framework with organizational knowledge within the firm can enhance the organization’s BI system application and usability, and its goal is to advance the understanding of the relationships among these factors. The study develops and tested two main hypothesizes: (1) IT Governance framework supports business intelligence application. (2) Organizational knowledge, in turn, leads to support business intelligence application.

A prior study by the authors on management information systems (MISs) is updated to include development in the 1980s. It is found that MIS continues to emerge from the foundations of these reference disciplines, i.e., computer science, management science, and organization science. The MIS literature in the core journals approximately doubled from the first half of the decade to the second. The relationship of MIS to the foundational field of organization science remains an issue, as research published in MIS journals is little referenced in the core journals of organization science. A closer relationship between these two fields is predicted to develop during the 1990s. >

The aim of this paper is to explore the power-law relationship between the degree centrality of countries and their citation-based performance in Management Information Systems research. We analyzed 27,662 articles that received 127,974 citations. The distribution of the citation-based performance follows a power law with exponent of −2.46 ± 0.05. The distribution of the centrality degree of countries follows a power law with exponent of −2.26 ± 0.24. The citation-based performance and degree centrality exhibited a power-law correlation with a scaling exponent of 1.22 ± 0.04. Citations to the articles of a country in MIS tend to increase 21.22 or 2.33 times each time it doubles its degree centrality in the international collaborative network. Policies that encourage a country to increase its degree centrality in a collaboration network can disproportionately increase the impact of its research.

Although decision-making represents a fundamental issue in management information systems (MIS), obtaining accurate assessments of the factors affecting employees' decisions may be difficult using traditional methods such as ratings and rankings. Policy capturing, a little-used method in MIS, represents a potentially important alternative to more traditional methods. After demonstrating that policy capturing has been underutilized in MIS, the paper illustrates the use of policy capturing in two decision-making contexts—computer training and software selection. These two studies contrast policy capturing results with more traditional methods, and draw implications for research.