Data, measurement and empirical methods in the science of science

Liu, Lu; Jones, Benjamin F.; Uzzi, Brian; Wang, Dashun

doi:10.1038/s41562-023-01562-4

Cited by 22 publications

(11 citation statements)

References 249 publications

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“…The study of science is a broad field with a variety of methods. Academics have employed a range of perspectives to understand science's inner workings, driven by the field's diversity in researchers' disciplinary backgrounds (Sugimoto et al, 2011;Liu et al, 2023). In this paper we highlight why causal thinking is important for the study of science, in particular for quantitative approaches.…”

Section: Discussionmentioning

confidence: 99%

Introduction to causality in science studies

Klebel,

Traag

2024

Preprint

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Sound causal inference is crucial for advancing the study of science. Incorrectly interpreting predictive effects as causal might be ineffective or even detrimental to policy recommendations. Many publications in science studies lack appropriate methods to substantiate their causal claims. We here provide an introduction to structural causal models. Such models, usually represented in a graphical form, allow researchers to make their causal assumptions transparent and provide a foundation for causal inference. We illustrate how to use structural causal models to conduct causal inference using regression models based on simulated data of a hypothetical structural causal model of Open Science. The graphical representation of structural causal models allows researchers to clearly communicate their assumptions and findings, thereby fostering further discussion. We hope our introduction helps more researchers in science studies to consider causality explicitly.

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Section: Discussionmentioning

confidence: 99%

Introduction to causality in science studies

Klebel,

Traag

2024

Preprint

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“…HRAlit focuses on the 31 organs and associated PubMed indexed papers in the HRA v1.4. To validate publication data, we compare it to similar commonly used datasets, such as Web of Science and OpenAlex 31 , 35 . WoS XML raw data for years 1898 to 2023 was acquired by the Indiana University Network Institute from Clarivate Analytics under a Data Custodian user agreement with the Collaborative Archive & Data Research Environment (CADRE) 36 .…”

Section: Technical Validationmentioning

confidence: 99%

Publication, funding, and experimental data in support of Human Reference Atlas construction and usage

Kong,

Börner

2024

Sci Data

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Experts from 18 consortia are collaborating on the Human Reference Atlas (HRA) which aims to map the 37 trillion cells in the healthy human body. Information relevant for HRA construction and usage is held by experts, published in scholarly papers, and captured in experimental data. However, these data sources use different metadata schemas and cannot be cross-searched efficiently. This paper documents the compilation of a dataset, named HRAlit, that links the 136 HRA v1.4 digital objects (31 organs with 4,279 anatomical structures, 1,210 cell types, 2,089 biomarkers) to 583,117 experts; 7,103,180 publications; 896,680 funded projects, and 1,816 experimental datasets. The resulting HRAlit has 22 tables with 20,939,937 records including 6 junction tables with 13,170,651 relationships. The HRAlit can be mined to identify leading experts, major papers, funding trends, or alignment with existing ontologies in support of systematic HRA construction and usage.

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“…Digital globalization ( Henriques, 2019 ), together with the rapidly growing volume of scientific publications and new data analysis tools ( Liu et al, 2023 ), is impacting scientific research worldwide. In this context, the lack of systematization in drama therapy research has been recognized ( Fernández-Aguayo and Pino-Juste, 2018 ; Constien and Junker, 2023 ), leading to difficulties in navigating the scientific literature.…”

Section: Introductionmentioning

confidence: 99%

“…With the increasing number of scientific publications ( Liu et al, 2023 ), following research in one’s field of specialization becomes increasingly difficult ( Fernández-Aguayo and Pino-Juste, 2018 ; Feniger-Schaal and Orkibi, 2020 ; Constien and Junker, 2023 ), as researchers must undertake extensive data analysis and interpretation ( Pessin et al, 2023 ). The first initiatives in this regard have been taken by professional bodies, including the British Association for Drama Therapists (BADth), which was founded in 1977 ( Dokter and Winn, 2009 ), the North American Drama Therapy Association (NADTA), which was founded in 1979 ( Armstrong et al, 2019 ), and the Federation of Vocational Therapy Associations (FVB), which was founded in 2006 ( Federatie Vaktherapeutische Beroepen, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

“…Scientific research has become increasingly important around the world in recent years, driven by the growth of big data, new measurement approaches and a growing range of empirical methods. These tools provide opportunities to test conceptual frameworks of science, uncover factors that influence scientific productivity, predict key scientific outcomes and design policies that facilitate future scientific progress better ( Liu et al, 2023 ). A suitable method for exploring large volumes of scientific data is bibliometric analysis, which is used to explore the characteristics, structure, relationships, patterns, and current and future trends of scientific disciplines quantitatively and qualitatively ( Soosaraei et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

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Research trends in drama therapy: a bibliometric analysis based on Scopus

Korde,

Šuriņa,

Mārtinsone

2023

Front. Psychol.

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AimAs drama therapy has become increasingly important in healthcare, the number of scientific publications has increased, complicating the orientation in the research field. Therefore, the aim of this study is to provide a comprehensive overview of research trends in drama therapy, assessing the impact factors of publications and analyzing the research structure.MethodsThree hundred and ninety-five scientific articles indexed in Scopus were analyzed without time, geographic and language restrictions using bibliometric analysis methods - performance analysis, citation analysis, and science mapping. Data processing was performed using MS Excel, VOSviewer and Biblioshiny software.ResultsThe work of the pioneers of drama therapy continues to be actively cited, influencing the development of drama therapy. Today’s leading researchers are increasingly engaging in collaborative research, working across disciplines and contributing to scientific progress. The hot topic of research is older adults and mental health. The diversity of terminology and the large volume of unpublished research point to the need for consolidation. Altmetric analysis would optimize the use of scientific information, promoting innovative research.ConclusionThis is the first study using the Scopus database to perform an extensive bibliometric analysis of research articles on drama therapy applying Biblioshiny and VOSviewer software. The results of the analysis reflect the evolution of the field from its historical roots to academic maturity, highlighting its current dynamic growth and the trend of drama therapy to establish itself as an interdisciplinary field in the healthcare system. This work serves as a valuable resource for the scientific community, professionals, students, and librarians in the field, helping to optimize the use of scientific resources in drama therapy and contributing to its future development.

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Data, measurement and empirical methods in the science of science

Cited by 22 publications

References 249 publications

Introduction to causality in science studies

Introduction to causality in science studies

Publication, funding, and experimental data in support of Human Reference Atlas construction and usage

Research trends in drama therapy: a bibliometric analysis based on Scopus

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