METSTI 2023: Workshop on Informetric, Scientometric, and Scientific and Technical Information Research

Workshop sponsored by ASIS&T SIG/MET and SIG STI
ASIS&T 2023 Annual Meeting
Friday, October 27, 2023, 9:00 a.m. – 5:00 p.m. (BST), London, UK

The ASIS&T Special Interest Group for Metrics (SIG/MET) and the ASIS&T Special Interest Group for Scientific and Technical Information (SIG STI) organized the METSTI 2023: Workshop on Informetric, Scientometric and Scientific and Technical Information Research, which was held prior to the 86th ASIS&T Annual Meeting.

This community includes the extended abstracts and presentation slides of all contributors who were willing to share them. The program of the workshop can be found here.

 

Scope of METSTI 2023

Research in the field of science-of-science is extensive, covering several areas and topics, and thus, it is not only relevant for a specific research domain but rather concerns the research of a variety of researchers, the work of practitioners with various foci and further stakeholders within the science system; with the measurement of information production and use and the analysis of scientific and technical information being two major scopes of them.

We proposed a full-day joint workshop, providing a platform for research presentations and discussions related to these topics by students, early-career and established researchers, information professionals, and librarians. Especially, consistent with the theme of ASIS&T Annual Meeting 2023, this joint workshop aimed to strengthen the alignment between information research, practices and policies.

Extended abstracts describing empirical or theoretical work related but not limited to the following areas were invited:

  • Bibliometric-enhanced information retrieval

  • Diversity, equity and inclusion (DEI) in the science of science

  • Informetrics, bibliometrics, scientometrics or social media metrics (altmetrics)

  • New indicators, methods and tools

  • Open access and open science

  • Patent analysis

  • Research evaluation and research integrity

  • Scholarly or science communication

  • Science and technology policies

  • Team science

  • Scientific and technical information

Keynote

Prof. Dr. Mike Thelwall (University of Sheffield)
"Team science: increased quality, increased funding, or just increased citation impact?"

Team science is widely encouraged by funders and research managers in the belief that collaboration improves research outcomes or, more specifically, that interdisciplinary collaboration is necessary to address important societal challenges. Bibliometric data seems to back this up by consistently showing that articles with more authors tend to be more cited. Nevertheless, there have been suggestions that collaborative work tends to be more cited because of more self-citations or wider publicity through author networks. Funding may also be a factor if collaborative research tends to be better supported. This talk will discuss these issues from the perspective of the quality scores given to journal articles submitted to the UK Research Excellence Framework 2021.
This data can help to distinguish between citation indicators and expert evaluations of research quality. The results suggest that bigger teams tend to publish higher quality articles although there is also evidence that the higher citation rates of collaborative research are not entirely due to its higher quality. The results also show that funding associates with higher quality research even after taking into account team size.

Organizers

  • Dorsch, Isabelle, ZBW – Leibniz Information Centre for Economics, Germany

  • Liu, Meijun, Fudan University, China

  • Li, Kai, University of Tennessee Knoxville, USA

  • Zhang, Chenwei, University of Hong Kong, China

  • Chen, Pei-Ying, Indiana University Bloomington, USA

  • Bu, Yi, Peking University, China

Sponsors

We thank our sponsors the International Center for the Study of Research (ICSR) and the Journal of Data and Information Science!

Note: The workshop continues the successful ASIS&T SIG/MET workshop series held annually since 2011 by providing an opportunity to present and discuss research related to the measurement of knowledge production, dissemination, and use among experienced researchers, young academics, and practitioners.