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Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research

Background: As part of a coordinated effort to expand research activity around rigor, reproducibility, and transparency (RRT) across scientific disciplines, a team of investigators at the Indiana University School of Public Health-Bloomington hosted a workshop in October 2019 with international lead...

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Autores principales: Valdez, Danny, Vorland, Colby J., Brown, Andrew W., Mayo-Wilson, Evan, Otten, Justin, Ball, Richard, Grant, Sean, Levy, Rachel, Svetina Valdivia, Dubravka, Allison, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898357/
https://www.ncbi.nlm.nih.gov/pubmed/33628434
http://dx.doi.org/10.12688/f1000research.26594.1
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author Valdez, Danny
Vorland, Colby J.
Brown, Andrew W.
Mayo-Wilson, Evan
Otten, Justin
Ball, Richard
Grant, Sean
Levy, Rachel
Svetina Valdivia, Dubravka
Allison, David B.
author_facet Valdez, Danny
Vorland, Colby J.
Brown, Andrew W.
Mayo-Wilson, Evan
Otten, Justin
Ball, Richard
Grant, Sean
Levy, Rachel
Svetina Valdivia, Dubravka
Allison, David B.
author_sort Valdez, Danny
collection PubMed
description Background: As part of a coordinated effort to expand research activity around rigor, reproducibility, and transparency (RRT) across scientific disciplines, a team of investigators at the Indiana University School of Public Health-Bloomington hosted a workshop in October 2019 with international leaders to discuss key opportunities for RRT research. Objective: The workshop aimed to identify research priorities and opportunities related to RRT. Design: Over two-days, workshop attendees gave presentations and participated in three working groups: (1) Improving Education & Training in RRT, (2) Reducing Statistical Errors and Increasing Analytic Transparency, and (3) Looking Outward: Increasing Truthfulness and Accuracy of Research Communications. Following small-group discussions, the working groups presented their findings, and participants discussed the research opportunities identified. The investigators compiled a list of research priorities, which were circulated to all participants for feedback. Results: Participants identified the following priority research questions: (1) Can RRT-focused statistics and mathematical modeling courses improve statistics practice?; (2) Can specialized training in scientific writing improve transparency?; (3) Does modality (e.g. face to face, online) affect the efficacy RRT-related education?; (4) How can automated programs help identify errors more efficiently?; (5) What is the prevalence and impact of errors in scientific publications (e.g., analytic inconsistencies, statistical errors, and other objective errors)?; (6) Do error prevention workflows reduce errors?; (7) How do we encourage post-publication error correction?; (8) How does ‘spin’ in research communication affect stakeholder understanding and use of research evidence?; (9) Do tools to aid writing research reports increase comprehensiveness and clarity of research reports?; and (10) Is it possible to inculcate scientific values and norms related to truthful, rigorous, accurate, and comprehensive scientific reporting? Conclusion: Participants identified important and relatively unexplored questions related to improving RRT. This list may be useful to the scientific community and investigators seeking to advance meta-science (i.e. research on research).
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spelling pubmed-78983572021-02-23 Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research Valdez, Danny Vorland, Colby J. Brown, Andrew W. Mayo-Wilson, Evan Otten, Justin Ball, Richard Grant, Sean Levy, Rachel Svetina Valdivia, Dubravka Allison, David B. F1000Res Opinion Article Background: As part of a coordinated effort to expand research activity around rigor, reproducibility, and transparency (RRT) across scientific disciplines, a team of investigators at the Indiana University School of Public Health-Bloomington hosted a workshop in October 2019 with international leaders to discuss key opportunities for RRT research. Objective: The workshop aimed to identify research priorities and opportunities related to RRT. Design: Over two-days, workshop attendees gave presentations and participated in three working groups: (1) Improving Education & Training in RRT, (2) Reducing Statistical Errors and Increasing Analytic Transparency, and (3) Looking Outward: Increasing Truthfulness and Accuracy of Research Communications. Following small-group discussions, the working groups presented their findings, and participants discussed the research opportunities identified. The investigators compiled a list of research priorities, which were circulated to all participants for feedback. Results: Participants identified the following priority research questions: (1) Can RRT-focused statistics and mathematical modeling courses improve statistics practice?; (2) Can specialized training in scientific writing improve transparency?; (3) Does modality (e.g. face to face, online) affect the efficacy RRT-related education?; (4) How can automated programs help identify errors more efficiently?; (5) What is the prevalence and impact of errors in scientific publications (e.g., analytic inconsistencies, statistical errors, and other objective errors)?; (6) Do error prevention workflows reduce errors?; (7) How do we encourage post-publication error correction?; (8) How does ‘spin’ in research communication affect stakeholder understanding and use of research evidence?; (9) Do tools to aid writing research reports increase comprehensiveness and clarity of research reports?; and (10) Is it possible to inculcate scientific values and norms related to truthful, rigorous, accurate, and comprehensive scientific reporting? Conclusion: Participants identified important and relatively unexplored questions related to improving RRT. This list may be useful to the scientific community and investigators seeking to advance meta-science (i.e. research on research). F1000 Research Limited 2020-10-14 /pmc/articles/PMC7898357/ /pubmed/33628434 http://dx.doi.org/10.12688/f1000research.26594.1 Text en Copyright: © 2020 Valdez D et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Opinion Article
Valdez, Danny
Vorland, Colby J.
Brown, Andrew W.
Mayo-Wilson, Evan
Otten, Justin
Ball, Richard
Grant, Sean
Levy, Rachel
Svetina Valdivia, Dubravka
Allison, David B.
Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title_full Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title_fullStr Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title_full_unstemmed Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title_short Improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
title_sort improving open and rigorous science: ten key future research opportunities related to rigor, reproducibility, and transparency in scientific research
topic Opinion Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898357/
https://www.ncbi.nlm.nih.gov/pubmed/33628434
http://dx.doi.org/10.12688/f1000research.26594.1
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