Revista y Edición

AHEAD OF PRINT

Volumen 7 (2022): Edición 4 (November 2022)

Volumen 7 (2022): Edición 3 (August 2022)

Volumen 7 (2022): Edición 2 (April 2022)

Volumen 7 (2022): Edición 1 (February 2022)

Volumen 6 (2021): Edición 4 (November 2021)

Volumen 6 (2021): Edición 3 (June 2021)

Volumen 6 (2021): Edición 2 (April 2021)

Volumen 6 (2021): Edición 1 (February 2021)

Volumen 5 (2020): Edición 4 (November 2020)

Volumen 5 (2020): Edición 3 (August 2020)

Volumen 5 (2020): Edición 2 (April 2020)

Volumen 5 (2020): Edición 1 (February 2020)

Volumen 4 (2019): Edición 4 (December 2019)

Volumen 4 (2019): Edición 3 (August 2019)

Volumen 4 (2019): Edición 2 (May 2019)

Volumen 4 (2019): Edición 1 (February 2019)

Volumen 3 (2018): Edición 4 (November 2018)

Volumen 3 (2018): Edición 3 (August 2018)

Volumen 3 (2018): Edición 2 (May 2018)

Volumen 3 (2018): Edición 1 (February 2018)

Volumen 2 (2017): Edición 4 (December 2017)

Volumen 2 (2017): Edición 3 (August 2017)

Volumen 2 (2017): Edición 2 (May 2017)

Volumen 2 (2017): Edición 1 (February 2017)

Volumen 1 (2016): Edición 4 (November 2016)

Volumen 1 (2016): Edición 3 (August 2016)

Volumen 1 (2016): Edición 2 (May 2016)

Volumen 1 (2016): Edición 1 (February 2016)

Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

Volumen 7 (2022): Edición 4 (November 2022)

Detalles de la revista
Formato
Revista
eISSN
2543-683X
Publicado por primera vez
30 Mar 2017
Periodo de publicación
4 veces al año
Idiomas
Inglés

Buscar

6 Artículos

Research Note

Acceso abierto

Covid-related Papers Contribute 50% on the JIF of High Impact Medicine Journals

Publicado en línea: 14 Oct 2022
Páginas: 1 - 2

Resumen

Acceso abierto

How does the Research Capacity Gap among Institutions Change over Time?

Publicado en línea: 13 Nov 2022
Páginas: 3 - 4

Resumen

Letter

Acceso abierto

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

Publicado en línea: 19 Oct 2022
Páginas: 5 - 15

Resumen

Abstract Purpose

We aim to extend our investigations related to the Relative Intensity of Collaboration (RIC) indicator, by constructing a confidence interval for the obtained values.

Design/methodology/approach

We use Mantel-Haenszel statistics as applied recently by Smolinsky, Klingenberg, and Marx.

Findings

We obtain confidence intervals for the RIC indicator

Research limitations

It is not obvious that data obtained from the Web of Science (or any other database) can be considered a random sample.

Practical implications

We explain how to calculate confidence intervals. Bibliometric indicators are more often than not presented as precise values instead of an approximation depending on the database and the time of measurement. Our approach presents a suggestion to solve this problem.

Originality/value

Our approach combines the statistics of binary categorical data and bibliometric studies of collaboration.

Palabras clave

  • Contingency tables
  • Confidence intervals
  • Relative intensity of collaboration (RIC)
  • Mantel-Haenszel statistics
  • Science of science

Review

Acceso abierto

What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature

Publicado en línea: 08 Sep 2022
Páginas: 16 - 38

Resumen

Abstract

This paper reviews literature pertaining to the development of data science as a discipline, current issues with data bias and ethics, and the role that the discipline of information science may play in addressing these concerns. Information science research and researchers have much to offer for data science, owing to their background as transdisciplinary scholars who apply human-centered and social-behavioral perspectives to issues within natural science disciplines. Information science researchers have already contributed to a humanistic approach to data ethics within the literature and an emphasis on data science within information schools all but ensures that this literature will continue to grow in coming decades. This review article serves as a reference for the history, current progress, and potential future directions of data ethics research within the corpus of information science literature.

Palabras clave

  • Data science
  • Library and information science
  • Data ethics
  • Data bias
  • Education

Research Paper

Acceso abierto

A Novel Metric for Assessing National Strength in Scientific Research: Understanding China's Research Output in Quantum Technology through Collaboration

Publicado en línea: 14 Oct 2022
Páginas: 39 - 60

Resumen

Abstract Purpose

The 5th Plenary Session of the 19th Communist Party of China (CPC) Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China's development. Based on this background, this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.

Design/methodology/approach

We propose a novel metric model for assessing national scientific research strength, which sets two indicators, national scientific self-reliance (SR) and national academic contribution (CT), to reflect “self-reliance” and “self-strengthening” respectively. Taking the research papers in quantum technology as an example, this study analyzes the scientific research strength of various countries around the world, especially China in quantum technology.

Findings

The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks. China's academic contribution (CT) to global quantum technology research is increasing and has been greater than that of the United States in 2020. Combining the two indicators, CT and SR, China's research strength in the quantum field closely follows the United States, and the United States is the most powerful with high research autonomy.

Research limitations

This paper only reflects China's scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects, which need further study.

Practical implications

The model is helpful to better understand the national scientific research strength in a certain field from “self-reliance” and “self-strengthening”.

Originality/value

We propose a novel metric model to measure the national scientific research strength from the perspective of “self-reliance” and “self-strengthening”, which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.

Palabras clave

  • National Scientific Research Strength
  • Academic Contribution
  • National Scientific Self-reliance Index
  • Quantum Technology Research
Acceso abierto

Subject Area Risk Assessment of Four Hungarian Universities with a View to the QS University Rankings by Subject

Publicado en línea: 13 Nov 2022
Páginas: 61 - 80

Resumen

Abstract Purpose

The aim of our paper is to investigate the role of a mentor leading a research team in the overall scientific performance of an academic institution and the possible risks of their departure with a special attention to their publication output.

Design/methodology/approach

By using SciVal subject area data, we composed a formula describing the level of vulnerability of any given university in the case of losing any of its leading mentors, identifying other risk factors by dividing their careers into separate stages.

Findings

It turns out that the higher field-weighed citation impact is, the better position universities reach in the rankings by subject and the vulnerability of institutions highly depends on the mentors, especially in view of their contribution to the topic clusters.

Research limitations

The analysis covers the publication output of leading researchers working at four Hungarian universities, the scope of the analysis is worth being extended.

Practical implications

Our analysis has the potential to give an applicable systemic approach as well as a data collection scheme to university managements so as to formulate an inclusive and comprehensive research strategy involving the introduction of a reward system aimed at publications and further encouraging national and international research cooperation.

Originality/value

The methodology and the principles of risk assessment laid down in our paper are not restricted to measuring the vulnerability level of a limited group of academic institutions, they can be appropriately used for investigating the role of mentors or leading researchers at every university across the globe.

Palabras clave

  • QS Rankings by Subject
  • Scientific Competitiveness
  • Risk Analysis
  • Subject Area Exposure
6 Artículos

Research Note

Letter

Acceso abierto

Confidence Intervals for Relative Intensity of Collaboration (RIC) Indicators

Publicado en línea: 19 Oct 2022
Páginas: 5 - 15

Resumen

Abstract Purpose

We aim to extend our investigations related to the Relative Intensity of Collaboration (RIC) indicator, by constructing a confidence interval for the obtained values.

Design/methodology/approach

We use Mantel-Haenszel statistics as applied recently by Smolinsky, Klingenberg, and Marx.

Findings

We obtain confidence intervals for the RIC indicator

Research limitations

It is not obvious that data obtained from the Web of Science (or any other database) can be considered a random sample.

Practical implications

We explain how to calculate confidence intervals. Bibliometric indicators are more often than not presented as precise values instead of an approximation depending on the database and the time of measurement. Our approach presents a suggestion to solve this problem.

Originality/value

Our approach combines the statistics of binary categorical data and bibliometric studies of collaboration.

Palabras clave

  • Contingency tables
  • Confidence intervals
  • Relative intensity of collaboration (RIC)
  • Mantel-Haenszel statistics
  • Science of science

Review

Acceso abierto

What Does Information Science Offer for Data Science Research?: A Review of Data and Information Ethics Literature

Publicado en línea: 08 Sep 2022
Páginas: 16 - 38

Resumen

Abstract

This paper reviews literature pertaining to the development of data science as a discipline, current issues with data bias and ethics, and the role that the discipline of information science may play in addressing these concerns. Information science research and researchers have much to offer for data science, owing to their background as transdisciplinary scholars who apply human-centered and social-behavioral perspectives to issues within natural science disciplines. Information science researchers have already contributed to a humanistic approach to data ethics within the literature and an emphasis on data science within information schools all but ensures that this literature will continue to grow in coming decades. This review article serves as a reference for the history, current progress, and potential future directions of data ethics research within the corpus of information science literature.

Palabras clave

  • Data science
  • Library and information science
  • Data ethics
  • Data bias
  • Education

Research Paper

Acceso abierto

A Novel Metric for Assessing National Strength in Scientific Research: Understanding China's Research Output in Quantum Technology through Collaboration

Publicado en línea: 14 Oct 2022
Páginas: 39 - 60

Resumen

Abstract Purpose

The 5th Plenary Session of the 19th Communist Party of China (CPC) Central Committee clearly states that developing science and technology through self-reliance and self-strengthening provides the strategic underpinning for China's development. Based on this background, this paper explores a metric model for assessing national scientific research strength through collaboration on research papers.

Design/methodology/approach

We propose a novel metric model for assessing national scientific research strength, which sets two indicators, national scientific self-reliance (SR) and national academic contribution (CT), to reflect “self-reliance” and “self-strengthening” respectively. Taking the research papers in quantum technology as an example, this study analyzes the scientific research strength of various countries around the world, especially China in quantum technology.

Findings

The results show that the research of quantum technology in China has always been relatively independent with fewer international collaboration papers and located in a more marginal position in cooperation networks. China's academic contribution (CT) to global quantum technology research is increasing and has been greater than that of the United States in 2020. Combining the two indicators, CT and SR, China's research strength in the quantum field closely follows the United States, and the United States is the most powerful with high research autonomy.

Research limitations

This paper only reflects China's scientific research strength in quantum technology from collaboration on research papers and doesn’t consider the segmentation of quantum technology and the industrial upstream and downstream aspects, which need further study.

Practical implications

The model is helpful to better understand the national scientific research strength in a certain field from “self-reliance” and “self-strengthening”.

Originality/value

We propose a novel metric model to measure the national scientific research strength from the perspective of “self-reliance” and “self-strengthening”, which provides a solid basis for the assessment of the strength level of scientific research in countries/regions and institutions.

Palabras clave

  • National Scientific Research Strength
  • Academic Contribution
  • National Scientific Self-reliance Index
  • Quantum Technology Research
Acceso abierto

Subject Area Risk Assessment of Four Hungarian Universities with a View to the QS University Rankings by Subject

Publicado en línea: 13 Nov 2022
Páginas: 61 - 80

Resumen

Abstract Purpose

The aim of our paper is to investigate the role of a mentor leading a research team in the overall scientific performance of an academic institution and the possible risks of their departure with a special attention to their publication output.

Design/methodology/approach

By using SciVal subject area data, we composed a formula describing the level of vulnerability of any given university in the case of losing any of its leading mentors, identifying other risk factors by dividing their careers into separate stages.

Findings

It turns out that the higher field-weighed citation impact is, the better position universities reach in the rankings by subject and the vulnerability of institutions highly depends on the mentors, especially in view of their contribution to the topic clusters.

Research limitations

The analysis covers the publication output of leading researchers working at four Hungarian universities, the scope of the analysis is worth being extended.

Practical implications

Our analysis has the potential to give an applicable systemic approach as well as a data collection scheme to university managements so as to formulate an inclusive and comprehensive research strategy involving the introduction of a reward system aimed at publications and further encouraging national and international research cooperation.

Originality/value

The methodology and the principles of risk assessment laid down in our paper are not restricted to measuring the vulnerability level of a limited group of academic institutions, they can be appropriately used for investigating the role of mentors or leading researchers at every university across the globe.

Palabras clave

  • QS Rankings by Subject
  • Scientific Competitiveness
  • Risk Analysis
  • Subject Area Exposure

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