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Towards a more informed and balanced use of scientific performance metrics

Authors :  Jaap J A Denissen, Klaas Sijtsma, Wil M P van der Aalst

The goal of scientific assessment is to predict which individuals can make optimal use of limited resources within a specific context to make optimal allocation decisions. In academic contexts that pertain to individual-level allocations, this is most relevant for decisions on whom to hire for academic positions, nominate for awards, or whose research projects to fund.

The current perspective paper draws upon insights from decades of psychometric research and more recent research on scientific performance to derive a set of five psychometric criteria that should be met for optimal assessment procedures in academia. Although data-driven decision making has gained popularity in most domains, there is increasing resistance against using quantitative measurements in scientific assessment.

Recently, several stakeholders have proposed to jettison such measurements and focus instead on qualitative indicators or narratives. We argue that both quantitative and qualitative assessment do not always meet our five criteria, but solely relying on qualitative indicators appears to be a suboptimal strategy.

We argue instead that there are smarter ways to use quantitative indicators so that they become more reliable, predictive, and ultimately also more efficient and equitable. We conclude with a set of recommendations for scientific quality assessment that is based on the most recent psychometric and scientific insights. In an appendix, we apply these recommendations to a Dutch case study of how researcher information is considered in the application procedure for a prestigious individual grant.

URL : Towards a more informed and balanced use of scientific performance metrics

DOI : https://doi.org/10.1093/reseval/rvag023

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Assessing the Societal Impact of Academic Research With Artificial Intelligence (AI): A Scoping Review of Business School Scholarship as a ‘Force for Good’

Authors : David SteingardKathleen Rodenburg

This study addresses critical questions about how current evaluative frameworks for academic research can effectively translate scholarly findings into practical applications and policies to tackle societal ‘grand challenges’.

This scoping review analysis was conducted using bibliometric methods and AI tools. Articles were drawn from a wide range of disciplines, with particular emphasis on the business and management fields, focusing on the burgeoning scholarship area of ‘business as a force for good’.

The novel integration of generative AI research approaches underscores the transformative potential of AI-human collaboration in academic research. Metadata from 4051 articles were examined in the scoping review, with only 370 articles (9.1%) explicitly identified as relevant to societal impact.

This finding reveals a substantial and concerning gap in research addressing the urgent social and environmental issues of our time. To address this gap, the study identifies six meta-themes related to enhancing the societal impact of research: business applications; faculty publication pressure; societal impact focus; sustainable development; university and scholarly rankings; and reference to responsible research frameworks.

Key findings highlight critical misalignments between research outputs and the United Nations Sustainable Development Goals (SDGs) and a lack of practical business applications of research insights.

The results emphasise the urgent need for academic institutions to expand evaluation criteria beyond traditional metrics to prioritise real-world impacts. Recommendations include developing holistic evaluation frameworks and incentivising research that addresses pressing societal challenges—shifting academia from a ‘scholar-to-scholar’ to a ‘scholar-to-society’ paradigm.

The implications of this shift are applied to business-related scholarship and its potential to inspire meaningful societal impact through business practice.

URL : Assessing the Societal Impact of Academic Research With Artificial Intelligence (AI): A Scoping Review of Business School Scholarship as a ‘Force for Good’

DOI : https://doi.org/10.1002/leap.2010

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Improving the reporting of research impact assessments: a systematic review of biomedical funder research impact assessments

Authors : Rachel Abudu, Kathryn Oliver, Annette Boaz

The field of research impact assessment (RIA) has seen remarkable growth over the past three decades. Increasing numbers of RIA frameworks have been developed and applied by research funders and new technologies can capture some research impacts automatically. However, RIAs are too different to draw comparable conclusions about what type of methods, data or processes are best suited to assess research impacts of different kinds, or how funders should most efficiently implement RIAs.

To usher in the next era of RIA and mature the field, future RIA methodologies should become more transparent, standardized and easily implementable. Key to these efforts is an improved understanding of how to practically implement and report on RIA at the funder-level. Our aim is to address this gap through two major contributions.

First, we identify common items across existing best practice guidelines for RIA, creating a preliminary reporting checklist for standardized RIA reporting. Next, we systematically reviewed studies examining funders’ assessment of biomedical grant portfolios to examine how funders reported the results of their RIAs across the checklist, as well as the operational steps funders took to perform their RIA and the variation in how funders implemented the same RIA frameworks.

We compare evidence on current RIA practices with the reporting checklist to identify good practice for RIA reporting, gaps in the evidence base for future research, and recommendations for future effective RIA.

URL : Improving the reporting of research impact assessments: a systematic review of biomedical funder research impact assessments

DOI : https://doi.org/10.1093/reseval/rvae060

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The role of non-scientific factors vis-a-vis the quality of publications in determining their scholarly impact

Authors : Giovanni Abramo, Ciriaco Andrea D’Angelo, Leonardo Grilli

In the evaluation of scientific publications’ impact, the interplay between intrinsic quality and non-scientific factors remains a subject of debate. While peer review traditionally assesses quality, bibliometric techniques gauge scholarly impact. This study investigates the role of non-scientific attributes alongside quality scores from peer review in determining scholarly impact.

Leveraging data from the first Italian Research Assessment Exercise (VTR 2001-2003) and Web of Science citations, we analyse the relationship between quality scores, non-scientific factors, and publication short- and long-term impact.

Our findings shed light on the significance of non-scientific elements overlooked in peer review, offering policymakers and research management insights in choosing evaluation methodologies. Sections delve into the debate, identify non-scientific influences, detail methodologies, present results, and discuss implications.

Arxiv : https://arxiv.org/abs/2404.05345

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May contain English – The assessment effect on language in publications and how this has manifested over a decade of DOAB titles

Authors : Danny Kingsley, Ronald Snijder

Research assessment in a major driver of research behaviour. The current emphasis on journal citations in a limited number of journals with an English focus have multiple effects. The need to publish in English even when it is not the local language affects the type of research undertaken and further consolidates the global North-centric view of scientific approach.

The bibliometric databases on which assessments of universities and journals are based are owned by two large corporate organisations, and this concentration of the market has in turn concentrated the research environment. Open infrastructure offers an alternative option for the research endeavour.

The OAPEN online open access library and the Directory of Open Access Books form part of this infrastructure and we consider the pattern of languages present in the directories over time.

DOI : https://doi.org/10.31235/osf.io/c8yq3

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A survey of how biology researchers assess credibility when serving on grant and hiring committees

Authors : Iain Hrynaszkiewicz, Beruria Novich, James Harney, Veronique Kiermer

Researchers who serve on grant review and hiring committees have to make decisions about the intrinsic value of research in short periods of time, and research impact metrics such Journal Impact Factor (JIF) exert undue influence on these decisions. Initiatives such as the Coalition for Advancing Research Assessment (CoARA) and the Declaration on Research Assessment (DORA) emphasize responsible use of quantitative metrics and avoidance of journal-based impact metrics for research assessment. Further, our previous qualitative research suggested that assessing credibility, or trustworthiness, of research is important to researchers not only when they seek to inform their own research but also in the context of research assessment committees.

To confirm our findings from previous interviews in quantitative terms, we surveyed 485 biology researchers who have served on committees for grant review or hiring and promotion decisions, to understand how they assess the credibility of research outputs in these contexts. We found that concepts like credibility, trustworthiness, quality and impact lack consistent definitions and interpretations by researchers, which had already been observed in our interviews.

We also found that assessment of credibility is very important to most (81%) of researchers serving in these committees but fewer than half of respondents are satisfied with their ability to assess credibility. A substantial proportion of respondents (57% of respondents) report using journal reputation and JIF to assess credibility – proxies that research assessment reformers consider inappropriate to assess credibility because they don’t rely on intrinsic characteristics of the research.

This gap between importance of an assessment and satisfaction in the ability to conduct it was reflected in multiple aspects of credibility we tested and it was greatest for researchers seeking to assess the integrity of research (such as identifying signs of fabrication, falsification, or plagiarism), and the suitability and completeness of research methods. Non-traditional research outputs associated with Open Science practices – research data, code, protocol and preprints sharing – are particularly hard for researchers to assess, despite the potential of Open Science practices to signal trustworthiness.

Our results suggest opportunities to develop better guidance and better signals to support the evaluation of research credibility and trustworthiness – and ultimately support research assessment reform, away from the use of inappropriate proxies for impact and towards assessing the intrinsic characteristics and values researchers see as important.

DOI : https://doi.org/10.31222/osf.io/ht836

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Peer review’s irremediable flaws: Scientists’ perspectives on grant evaluation in Germany

Authors : Eva Barlösius, Laura Paruschke, Axel Philipps

Peer review has developed over time to become the established procedure for assessing and assuring the scientific quality of research. Nevertheless, the procedure has also been variously criticized as conservative, biased, and unfair, among other things. Do scientists regard all these flaws as equally problematic?

Do they have the same opinions on which problems are so serious that other selection procedures ought to be considered? The answers to these questions hints at what should be modified in peer review processes as a priority objective. The authors of this paper use survey data to examine how members of the scientific community weight different shortcomings of peer review processes.

Which of those processes’ problems do they consider less relevant? Which problems, on the other hand, do they judge to be beyond remedy? Our investigation shows that certain defects of peer review processes are indeed deemed irreparable: (1) legitimate quandaries in the process of fine-tuning the choice between equally eligible research proposals and in the selection of daring ideas; and (2) illegitimate problems due to networks. Science-policy measures to improve peer review processes should therefore clarify the distinction between field-specific remediable and irremediable flaws than is currently the case.

URL : Peer review’s irremediable flaws: Scientists’ perspectives on grant evaluation in Germany

DOI : https://doi.org/10.1093/reseval/rvad032