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Publishers, funders and institutions: who is supporting UKRI-funded researchers to share data? Cover

Publishers, funders and institutions: who is supporting UKRI-funded researchers to share data?

Open Access
|Feb 2023

Figures & Tables

uksgi-36-602-g1.png
Figure 1

Two bar charts showing researcher’s self-reported understanding of funder data-sharing policies (scale 1 – 10) and their rating of their appropriateness for the researcher’s field (scale 1 – 10). Respondents have been split by whether they are funded by UKRI or not

uksgi-36-602-g2.png
Figure 2

Bar chart showing the percentage of researchers self-reporting as having deposited in an institutional repository. Respondents have been split by whether they are funded by UKRI or not

uksgi-36-602-g3.png
Figure 3

Bar chart showing the percentage of researchers giving different reasons for sharing their data. Respondents have been split by whether they are funded by UKRI or not

uksgi-36-602-g4.png
Figure 4

Percentage of researchers giving each reason why they would not share their data. Respondents have been split by whether they are funded by UKRI or not. The data from the State of Open Data survey has been included where questions aligned – there was no equivalent question about lack of support, commercial data or stakeholder concerns

uksgi-36-602-g5.png
Figure 5

Percentage of articles in dataset which contain data availability statements, using the non-redundant funder dataset. Data from each institution was calculated separately and error bars represent one standard deviation from the mean of these results. Dashed lines show the percentage of respondents in the survey self-reporting as having written a data availability statement

Table 1

Multivariate logistic regression analysis results assessing the likelihood of an article containing a data availability statement based on (a) the funder, (b) the publisher and (c) the institution

ComparisonDirectionExp oddsP value
Funding source
NERCNon-UKRI+2.571.06e–5
MRCNon-UKRI+2.278.29e–6
BBSRCNon-UKRI+2.054.32e–5
STFCNon-UKRI+1.936.09e–3
EPSRCNon-UKRI+1.453.42e–3
Publisher
Frontiers Media SAElsevier+3834.32e–9
PLoSElsevier+1902.51e–7
BMJ Publishing GroupElsevier+21.51.51e–16
MDPI AGElsevier+20.79.97e–48
Nature Publishing GroupElsevier+13.82.62e–37
American Astronomical SocietyElsevier+7.881.42e–6
Oxford University PressElsevier+7.781.37e–20
IOPElsevier+6.54.59e–9
American Society for MicrobiologyElsevier+5.492.43e–2
SpringerElsevier+5.27.09e–22
Optical Society of AmericaElsevier+5.03.64e–2
Institute of Mathematical StatisticsElsevier+4.794.76e–2
EDP SciencesElsevier+4.661.58e–3
Wiley BlackwellElsevier+3.777.02e–17
IEEEElsevier0.452.25e–2
Institutions
RG2RG4+1.324.70e–2
RG4RG20.764.70e–2
uksgi-36-602-g6.png
Figure 6

Percentage of articles in the dataset which contain data availability statements with ‘available on request’, ‘contact authors’ or similar using the non-redundant funder dataset. Data from each institution was calculated separately and error bars represent one standard deviation from the mean of these results. Dashed lines show the percentage of respondents in the survey self-reporting as having previously included an ‘available on request’ statement in an article

Table 2

Multivariate logistic regression analysis results assessing the likelihood of a data availability statement within an article containing ‘data available on request’ based on (a) the funder, (b) the publisher and (c) the institution.

ComparisonDirectionExp oddsP value
Funding source
EPSRCNon-UKRI0.582.84e–3
BBSRCNon-UKRI0.304.3e–5
NERCNon-UKRI0.291.61e–5
ESRCNon-UKRI0.218.10e–5
Publisher
Frontiers Media SAElsevier+7.61.68e–10
IOPElsevier+3.593.01e–3
BMJ Publishing GroupElsevier+2.511.55e–2
SpringerElsevier+1.773.88e–2
Royal SocietyElsevier0.081.49e–2
Institutions
RG2RG10.605.57e–3
RG1RG2+1.675.57e–3
RG4RG2+1.513.5e–2
RG2RG40.663.49e–2
uksgi-36-602-g7.png
Figure 7

Percentage of articles in the non-redundant funder dataset which contain data availability statements with direct links to datasets or metadata records. Data from each institution was calculated separately and error bars represent one standard deviation from the mean of these results. Dashed lines show the percentage of respondents in the survey self-reporting as having previously deposited in a repository.

Table 3

Multivariate logistic regression analysis results assessing the likelihood of a data availability statement within a link to an associated data deposit, or metadata page, based on (a) the funder, (b) the publisher and (c) the institution

ComparisonDirectionExp oddsP value
Funding source
NERCNon-UKRI+4.231.75e–8
ESRCNon-UKRI+3.458.73e–5
BBSRCNon-UKRI+1.904.07e–3
EPSRCNon-UKRI+1.831.04e–3
Publisher
MDPIElsevier0.395.04e–4
Frontiers Media SAElsevier0.382.75e–3
IOPElsevier0.279.32e–3
BMJ Publishing GroupElsevier0.269.95e–3
American Chemical SocietyElsevier+16.532.31e–4
AAASElsevier+14.431.35e–2
Royal Society of ChemistryElsevier+8.458.08e–3
EDP SciencesElsevier+6.527.55e–3
Nature Publishing GroupElsevier+2.073.98e–3
Institutions
RG2RG1+1.561.72e–2
RG3RG1+1.552.51e–2
RG1RG20.641.72e–2
RG1RG30.652.51e–2
DOI: https://doi.org/10.1629/uksg.602 | Journal eISSN: 2048-7754
Language: English
Submitted on: Jul 6, 2022
|
Accepted on: Aug 30, 2022
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Published on: Feb 14, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2023 Beth Montague-Hellen, Kate Montague-Hellen, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.