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      Reproducible research practices, transparency, and open access data in the biomedical literature, 2015–2017

      research-article
      1 , 2 , 3 ,   4 , 5 , 6 , 7 , 8 , *
      PLoS Biology
      Public Library of Science

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          Abstract

          Currently, there is a growing interest in ensuring the transparency and reproducibility of the published scientific literature. According to a previous evaluation of 441 biomedical journals articles published in 2000–2014, the biomedical literature largely lacked transparency in important dimensions. Here, we surveyed a random sample of 149 biomedical articles published between 2015 and 2017 and determined the proportion reporting sources of public and/or private funding and conflicts of interests, sharing protocols and raw data, and undergoing rigorous independent replication and reproducibility checks. We also investigated what can be learned about reproducibility and transparency indicators from open access data provided on PubMed. The majority of the 149 studies disclosed some information regarding funding (103, 69.1% [95% confidence interval, 61.0% to 76.3%]) or conflicts of interest (97, 65.1% [56.8% to 72.6%]). Among the 104 articles with empirical data in which protocols or data sharing would be pertinent, 19 (18.3% [11.6% to 27.3%]) discussed publicly available data; only one (1.0% [0.1% to 6.0%]) included a link to a full study protocol. Among the 97 articles in which replication in studies with different data would be pertinent, there were five replication efforts (5.2% [1.9% to 12.2%]). Although clinical trial identification numbers and funding details were often provided on PubMed, only two of the articles without a full text article in PubMed Central that discussed publicly available data at the full text level also contained information related to data sharing on PubMed; none had a conflicts of interest statement on PubMed. Our evaluation suggests that although there have been improvements over the last few years in certain key indicators of reproducibility and transparency, opportunities exist to improve reproducible research practices across the biomedical literature and to make features related to reproducibility more readily visible in PubMed.

          Author summary

          Currently, there is a growing interest in ensuring the transparency and reproducibility of the published scientific literature. According to a previous evaluation of 441 biomedical articles published from 2000–2014, the majority of studies did not share protocols and raw data or disclose funding or potential conflicts of interest. However, multiple recent efforts, which are attempting to address some of the existing concerns, may be resulting in genuine improvements in the transparency, openness, and reproducibility of the scientific literature. In this study, we investigate the reproducibility and transparency practices across the published biomedical literature from 2015–2017. We analyze reporting of public and/or private funding and conflicts of interests, sharing protocols and raw data, and independent replication and reproducibility checks. We also investigate what can be learned about reproducibility and transparency indicators from open access data provided on PubMed. Our evaluation suggests that although there have been improvements over the last few years in some aspects of reproducibility and transparency (e.g., data sharing), opportunities exist to improve reproducible research practices across the biomedical literature and to make features related to reproducibility more readily visible in PubMed.

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          Most cited references26

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          Scope and impact of financial conflicts of interest in biomedical research: a systematic review.

          Despite increasing awareness about the potential impact of financial conflicts of interest on biomedical research, no comprehensive synthesis of the body of evidence relating to financial conflicts of interest has been performed. To review original, quantitative studies on the extent, impact, and management of financial conflicts of interest in biomedical research. Studies were identified by searching MEDLINE (January 1980-October 2002), the Web of Science citation database, references of articles, letters, commentaries, editorials, and books and by contacting experts. All English-language studies containing original, quantitative data on financial relationships among industry, scientific investigators, and academic institutions were included. A total of 1664 citations were screened, 144 potentially eligible full articles were retrieved, and 37 studies met our inclusion criteria. One investigator (J.E.B.) extracted data from each of the 37 studies. The main outcomes were the prevalence of specific types of industry relationships, the relation between industry sponsorship and study outcome or investigator behavior, and the process for disclosure, review, and management of financial conflicts of interest. Approximately one fourth of investigators have industry affiliations, and roughly two thirds of academic institutions hold equity in start-ups that sponsor research performed at the same institutions. Eight articles, which together evaluated 1140 original studies, assessed the relation between industry sponsorship and outcome in original research. Aggregating the results of these articles showed a statistically significant association between industry sponsorship and pro-industry conclusions (pooled Mantel-Haenszel odds ratio, 3.60; 95% confidence interval, 2.63-4.91). Industry sponsorship was also associated with restrictions on publication and data sharing. The approach to managing financial conflicts varied substantially across academic institutions and peer-reviewed journals. Financial relationships among industry, scientific investigators, and academic institutions are widespread. Conflicts of interest arising from these ties can influence biomedical research in important ways.
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            • Record: found
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            Is Open Access

            Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency

            Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open data. After badges, 23% reported open data, with an accelerating trend; 39% reported open data in the first half of 2015, an increase of more than an order of magnitude from baseline. There was no change over time in the low rates of data sharing among comparison journals. Moreover, reporting openness does not guarantee openness. When badges were earned, reportedly available data were more likely to be actually available, correct, usable, and complete than when badges were not earned. Open materials also increased to a weaker degree, and there was more variability among comparison journals. Badges are simple, effective signals to promote open practices and improve preservation of data and materials by using independent repositories.
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              The Proposal to Lower P Value Thresholds to .005

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                20 November 2018
                November 2018
                20 November 2018
                : 16
                : 11
                : e2006930
                Affiliations
                [1 ] Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, United States of America
                [2 ] Collaboration for Research Integrity and Transparency, Yale School of Medicine, Yale University, New Haven, Connecticut, United States of America
                [3 ] SciTech Strategies, Inc., Albuquerque, New Mexico, United States of America
                [4 ] Stanford Prevention Research Center, Department of Medicine, Stanford University, Stanford, California, United States of America
                [5 ] Department of Health Research and Policy, Stanford University, Stanford, California, United States of America
                [6 ] Department of Biomedical Data Science, Stanford University, Stanford, California, United States of America
                [7 ] Department of Statistics, Stanford University, Stanford, California, United States of America
                [8 ] Meta-Research Innovation Center at Stanford, Stanford University, Stanford, California, United States of America
                Charité—Universitätsmedizin Berlin, Germany
                Author notes

                The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0003-3118-6859
                Article
                pbio.2006930
                10.1371/journal.pbio.2006930
                6245499
                30457984
                ae89d441-6a10-4b02-adc6-a33c4c23b24e
                © 2018 Wallach et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 June 2018
                : 19 October 2018
                Page count
                Figures: 3, Tables: 4, Pages: 20
                Funding
                National Institute on Drug Abuse, National Institutes of Health https://projectreporter.nih.gov/project_info_description.cfm?aid=9583616&icde=41489254 (grant number HHSN271201700041C). Received by KWB and JPAI. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Laura and John Arnold Foundation. Received by the Meta-Research Innovation Center at Stanford (METRICS). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Meta-Research Article
                Research and Analysis Methods
                Research Assessment
                Reproducibility
                Science Policy
                Research Funding
                Government Funding of Science
                Science Policy
                Open Science
                Open Access Publishing
                Research and Analysis Methods
                Scientific Publishing
                Publication Practices
                Open Access Publishing
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Research and Analysis Methods
                Research Design
                Replication Studies
                Research and Analysis Methods
                Scientific Publishing
                Science Policy
                Open Science
                Research and Analysis Methods
                Database and Informatics Methods
                Biological Databases
                Sequence Databases
                Research and Analysis Methods
                Database and Informatics Methods
                Bioinformatics
                Sequence Analysis
                Sequence Databases
                Custom metadata
                All data and code files are publicly available at https://osf.io/3ypdn/.

                Life sciences
                Life sciences

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