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Qui Bono?
Cumulative advantage in open access publishing
David Pride, Matteo Cancellieri, Petr Knoth
Open Repositories: 7th June 2022
Big Scientific Data and Text Analytics Group
Knowledge Media Institute, The Open University
United Kingdom
The ON-MERRIT project
• EU H2020 project: October 2019
- March 2022
• Methods: Sociological,
bibliometric and computational
approaches
• Ensure that Open Science & RRI
interventions contribute to a
more equitable scientific system
• Distribution of rewards based on
merit rather than privilege Universidade do
Minho
Premise
The premise of the Matthew Effect1
Those who begin with advantage
accumulate more advantage over
time and those who begin with
disadvantage become more
disadvantaged over time.
1.Merton, Robert K. "The Matthew Effect in Science: The reward and communication
..systems of science are considered." Science 159.3810 (1968): 56-63.
Motivation and research questions
Identify whether barriers related to accessing research literature, such as
being located at an institution with limited access to non-OA literature,
affect the citation behaviour of scholars.
Question 1: Do scholars located in less developed or at less prestigious
institutions rely (consume) more OA because their access to subscription
literature is limited?
Question 2: Do those who benefit from OA also produce more OA or are
production and consumption independent?
Related work
● Recent work by Huang et al. (2020) investigated the production of OA
literature around the globe based on institutions present in the THE
rankings
● They found that, in 2017, the 100 top-ranked universities made 80–90% of
their research publications OA.
● This figure is slightly higher than the result when looking at the data from
the Leiden Dataset which suggests this figure is around 70%.
Methodology
● Large-scale quantitative global study at the
level of institutions
● 219m papers / 44k institutions / 190 countries
● OA status for each paper
● Additional segmentation based on economic
and institutional ranking
Data
Data Sources
Source Type
Microsoft Academic Graph Paper metadata (authors, institutes, papers)
Unpaywall / CORE Discovery Open Access status of each paper
Times Higher Education Times World University Rankings (WUR)
CWTS Leiden Leiden Ranking
World Bank GDP / Economic indicators by country
Data
MAG Data Statistics - 219m papers from ~44k institutions
Microsoft Academic Graph metadata entities
Terminology
Terminology Description
Production The publication of research papers by an entity (continent, country,
institute)
OA Production OA research papers produced by an entity.
OA Production Rate The proportion of OA research papers produced by an entity.
Consumption The use of a research paper by an entity as measured by citations in
that entity’s publications.
OA Consumption The use of an OA research paper as measured by citations in that
entity’s publications.
OA Consumption
Rate
The proportion of OA research papers used by an entity. In our work,
we use as ‘evidence of use’ the act of citing OA research literature in
manuscripts produced by an entity.
Measuring production and consumption
Proportion of all OA scientific articles consumed by an entity
Proportion of all OA scientific articles produced by an entity:
Net OA Score for each entity
Results
Proportion of OA papers produced per country
for Europe
Proportion of OA papers consumed per country
for Europe
Production and Consumption of OA papers in Europe 2016-2020
Results
Correlation between OA
production and consumption by
institutional rank
● Strong correlation between the
rates of OA production and
consumption at institutional
level
● Stronger correlation for higher
ranked institutes.
Correlation between OA production and consumption
ranking data from Times World University Rankings
Results
Correlation between OA production and consumption by country
and grouped by continent 2016-2020. (n=190, r=0.84)
Correlation between OA production
and consumption
● Statistically significant correlation
between the rates of OA production
and consumption at the
institutional level across
continents.
● Little cross-continental difference
● Correlation has increased since
2010
Results
Correlation between OA production
and GDP per capita
● No correlation between the rates of
OA production and GDP at the
country / continental level
● Differences are at the institutional
level
● Each continent has highly funded /
ranked institutes. Correlation between OA production and country GDP per capita,
grouped by continent 2016-2020. (n=190, r=-0.02)
Results
Analysis of OA consumption and
institutional rank
● Higher ranked institutes both
produce and consume more OA
● Stronger correlation for higher
ranked institutes.
OA consumption vs institutional ranking using
data from Times World University Rankings
Discussion
● Higher ranked / better funded institutes more able to capitalise on OA
● Benefitting from OA vs driving OA forward
● Analysing pre-Sci-Hub and post-Sci-Hub OA consumption rates, contrary
to our intuition, we observed no “Sci-Hub effect” at a country level
● Our consumption measure quantifies how much one cites rather than
how much one downloads
Contribution
● Little correlation between GDP per capita and OA production and consumption
● More highly ranked institutions, when using THE rankings, are marginally
greater producers and greater consumers of OA than lower-ranked institutions.
● OA adoption is not (or no longer) divided on the rich country vs. poor country
perspective, but rather on the prestigious vs. not-prestigious institutional axis.
Thank you!
https://core.ac.uk

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Qui Bono? Cumulative advantage in open access publishing

  • 1. Qui Bono? Cumulative advantage in open access publishing David Pride, Matteo Cancellieri, Petr Knoth Open Repositories: 7th June 2022 Big Scientific Data and Text Analytics Group Knowledge Media Institute, The Open University United Kingdom
  • 2. The ON-MERRIT project • EU H2020 project: October 2019 - March 2022 • Methods: Sociological, bibliometric and computational approaches • Ensure that Open Science & RRI interventions contribute to a more equitable scientific system • Distribution of rewards based on merit rather than privilege Universidade do Minho
  • 3. Premise The premise of the Matthew Effect1 Those who begin with advantage accumulate more advantage over time and those who begin with disadvantage become more disadvantaged over time. 1.Merton, Robert K. "The Matthew Effect in Science: The reward and communication ..systems of science are considered." Science 159.3810 (1968): 56-63.
  • 4. Motivation and research questions Identify whether barriers related to accessing research literature, such as being located at an institution with limited access to non-OA literature, affect the citation behaviour of scholars. Question 1: Do scholars located in less developed or at less prestigious institutions rely (consume) more OA because their access to subscription literature is limited? Question 2: Do those who benefit from OA also produce more OA or are production and consumption independent?
  • 5. Related work ● Recent work by Huang et al. (2020) investigated the production of OA literature around the globe based on institutions present in the THE rankings ● They found that, in 2017, the 100 top-ranked universities made 80–90% of their research publications OA. ● This figure is slightly higher than the result when looking at the data from the Leiden Dataset which suggests this figure is around 70%.
  • 6. Methodology ● Large-scale quantitative global study at the level of institutions ● 219m papers / 44k institutions / 190 countries ● OA status for each paper ● Additional segmentation based on economic and institutional ranking
  • 7. Data Data Sources Source Type Microsoft Academic Graph Paper metadata (authors, institutes, papers) Unpaywall / CORE Discovery Open Access status of each paper Times Higher Education Times World University Rankings (WUR) CWTS Leiden Leiden Ranking World Bank GDP / Economic indicators by country
  • 8. Data MAG Data Statistics - 219m papers from ~44k institutions Microsoft Academic Graph metadata entities
  • 9. Terminology Terminology Description Production The publication of research papers by an entity (continent, country, institute) OA Production OA research papers produced by an entity. OA Production Rate The proportion of OA research papers produced by an entity. Consumption The use of a research paper by an entity as measured by citations in that entity’s publications. OA Consumption The use of an OA research paper as measured by citations in that entity’s publications. OA Consumption Rate The proportion of OA research papers used by an entity. In our work, we use as ‘evidence of use’ the act of citing OA research literature in manuscripts produced by an entity.
  • 10. Measuring production and consumption Proportion of all OA scientific articles consumed by an entity Proportion of all OA scientific articles produced by an entity: Net OA Score for each entity
  • 11. Results Proportion of OA papers produced per country for Europe Proportion of OA papers consumed per country for Europe Production and Consumption of OA papers in Europe 2016-2020
  • 12. Results Correlation between OA production and consumption by institutional rank ● Strong correlation between the rates of OA production and consumption at institutional level ● Stronger correlation for higher ranked institutes. Correlation between OA production and consumption ranking data from Times World University Rankings
  • 13. Results Correlation between OA production and consumption by country and grouped by continent 2016-2020. (n=190, r=0.84) Correlation between OA production and consumption ● Statistically significant correlation between the rates of OA production and consumption at the institutional level across continents. ● Little cross-continental difference ● Correlation has increased since 2010
  • 14. Results Correlation between OA production and GDP per capita ● No correlation between the rates of OA production and GDP at the country / continental level ● Differences are at the institutional level ● Each continent has highly funded / ranked institutes. Correlation between OA production and country GDP per capita, grouped by continent 2016-2020. (n=190, r=-0.02)
  • 15. Results Analysis of OA consumption and institutional rank ● Higher ranked institutes both produce and consume more OA ● Stronger correlation for higher ranked institutes. OA consumption vs institutional ranking using data from Times World University Rankings
  • 16. Discussion ● Higher ranked / better funded institutes more able to capitalise on OA ● Benefitting from OA vs driving OA forward ● Analysing pre-Sci-Hub and post-Sci-Hub OA consumption rates, contrary to our intuition, we observed no “Sci-Hub effect” at a country level ● Our consumption measure quantifies how much one cites rather than how much one downloads
  • 17. Contribution ● Little correlation between GDP per capita and OA production and consumption ● More highly ranked institutions, when using THE rankings, are marginally greater producers and greater consumers of OA than lower-ranked institutions. ● OA adoption is not (or no longer) divided on the rich country vs. poor country perspective, but rather on the prestigious vs. not-prestigious institutional axis.