TY - JOUR
T1 - Enforcing public data archiving policies in academic publishing
T2 - A study of ecology journals
AU - Sholler, Dan
AU - Ram, Karthik
AU - Boettiger, Carl
AU - Katz, Daniel S.
N1 - Funding Information:
We would like to thank the interview participants who graciously volunteered their time to be interviewed for our study. We also thank Daniella Lowenberg for critical feedback on drafts of the manuscript and the reviewers for their work in helping us to improve the paper. Research reported in this publication was approved by the University of California, Berkeley Office for the Protection of Human Subjects, Protocol ID 2017-08-10194.
Publisher Copyright:
© The Author(s) 2019.
PY - 2019/1
Y1 - 2019/1
N2 - To improve the quality and efficiency of research, groups within the scientific community seek to exploit the value of data sharing. Funders, institutions, and specialist organizations are developing and implementing strategies to encourage or mandate data sharing within and across disciplines, with varying degrees of success. Academic journals in ecology and evolution have adopted several types of public data archiving policies requiring authors to make data underlying scholarly manuscripts freely available. The effort to increase data sharing in the sciences is one part of a broader “data revolution” that has prompted discussion about a paradigm shift in scientific research. Yet anecdotes from the community and studies evaluating data availability suggest that these policies have not obtained the desired effects, both in terms of quantity and quality of available datasets. We conducted a qualitative, interview-based study with journal editorial staff and other stakeholders in the academic publishing process to examine how journals enforce data archiving policies. We specifically sought to establish who editors and other stakeholders perceive as responsible for ensuring data completeness and quality in the peer review process. Our analysis revealed little consensus with regard to how data archiving policies should be enforced and who should hold authors accountable for dataset submissions. Themes in interviewee responses included hopefulness that reviewers would take the initiative to review datasets and trust in authors to ensure the completeness and quality of their datasets. We highlight problematic aspects of these thematic responses and offer potential starting points for improvement of the public data archiving process.
AB - To improve the quality and efficiency of research, groups within the scientific community seek to exploit the value of data sharing. Funders, institutions, and specialist organizations are developing and implementing strategies to encourage or mandate data sharing within and across disciplines, with varying degrees of success. Academic journals in ecology and evolution have adopted several types of public data archiving policies requiring authors to make data underlying scholarly manuscripts freely available. The effort to increase data sharing in the sciences is one part of a broader “data revolution” that has prompted discussion about a paradigm shift in scientific research. Yet anecdotes from the community and studies evaluating data availability suggest that these policies have not obtained the desired effects, both in terms of quantity and quality of available datasets. We conducted a qualitative, interview-based study with journal editorial staff and other stakeholders in the academic publishing process to examine how journals enforce data archiving policies. We specifically sought to establish who editors and other stakeholders perceive as responsible for ensuring data completeness and quality in the peer review process. Our analysis revealed little consensus with regard to how data archiving policies should be enforced and who should hold authors accountable for dataset submissions. Themes in interviewee responses included hopefulness that reviewers would take the initiative to review datasets and trust in authors to ensure the completeness and quality of their datasets. We highlight problematic aspects of these thematic responses and offer potential starting points for improvement of the public data archiving process.
KW - Open data
KW - data infrastructures
KW - data policy
KW - public data archiving
KW - public data archiving policies
KW - scholarly publishing
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U2 - 10.1177/2053951719836258
DO - 10.1177/2053951719836258
M3 - Article
AN - SCOPUS:85074154693
SN - 2053-9517
VL - 6
JO - Big Data and Society
JF - Big Data and Society
IS - 1
ER -