Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results
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{"title"=>"Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results", "type"=>"journal", "authors"=>[{"first_name"=>"Jelte M.", "last_name"=>"Wicherts", "scopus_author_id"=>"55951677000"}, {"first_name"=>"Marjan", "last_name"=>"Bakker", "scopus_author_id"=>"40260890700"}, {"first_name"=>"Dylan", "last_name"=>"Molenaar", "scopus_author_id"=>"18034093800"}], "year"=>2011, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\n1932-6203 (Linking)", "pmid"=>"22073203", "scopus"=>"2-s2.0-80355136445", "doi"=>"10.1371/journal.pone.0026828", "sgr"=>"80355136445", "pui"=>"362861848"}, "id"=>"2e393dd5-b868-3c32-92e9-6cdd03dee0e1", "abstract"=>"BACKGROUND: The widespread reluctance to share published research data is often hypothesized to be due to the authors' fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically.\\n\\nMETHODS AND FINDINGS: We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance.\\n\\nCONCLUSIONS: Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. 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  • {"files"=>["https://ndownloader.figshare.com/files/363313", "https://ndownloader.figshare.com/files/363387"], "description"=>"<div><h3>Background</h3><p>The widespread reluctance to share published research data is often hypothesized to be due to the authors' fear that reanalysis may expose errors in their work or may produce conclusions that contradict their own. However, these hypotheses have not previously been studied systematically.</p> <h3>Methods and Findings</h3><p>We related the reluctance to share research data for reanalysis to 1148 statistically significant results reported in 49 papers published in two major psychology journals. We found the reluctance to share data to be associated with weaker evidence (against the null hypothesis of no effect) and a higher prevalence of apparent errors in the reporting of statistical results. The unwillingness to share data was particularly clear when reporting errors had a bearing on statistical significance.</p> <h3>Conclusions</h3><p>Our findings on the basis of psychological papers suggest that statistical results are particularly hard to verify when reanalysis is more likely to lead to contrasting conclusions. This highlights the importance of establishing mandatory data archiving policies.</p> </div>", "links"=>[], "tags"=>["results"], "article_id"=>131816, "categories"=>["Mathematics", "Science Policy"], "users"=>["Jelte M. Wicherts", "Marjan Bakker", "Dylan Molenaar"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0026828.s001", "https://dx.doi.org/10.1371/journal.pone.0026828.s002"], "stats"=>{"downloads"=>6, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Willingness_to_Share_Research_Data_Is_Related_to_the_Strength_of_the_Evidence_and_the_Quality_of_Reporting_of_Statistical_Results/131816", "title"=>"Willingness to Share Research Data Is Related to the Strength of the Evidence and the Quality of Reporting of Statistical Results", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2011-11-02 00:30:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/716801"], "description"=>"<p>Distribution of the number of errors in the reporting of p-values for 28 papers from which the data were not shared (left column) and 21 from which the data were shared (right column) for all misreporting errors (upper row), larger misreporting errors at the 2<sup>nd</sup> decimal (middle row), and misreporting errors that concerned statistical significance (p<.05; bottom row).</p>", "links"=>[], "tags"=>["errors", "papers"], "article_id"=>387166, "categories"=>["Mathematics", "Science Policy"], "users"=>["Jelte M. Wicherts", "Marjan Bakker", "Dylan Molenaar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026828.g001", "stats"=>{"downloads"=>3, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_reporting_errors_per_paper_for_papers_from_which_data_were_shared_and_from_which_no_data_were_shared_/387166", "title"=>"Distribution of reporting errors per paper for papers from which data were shared and from which no data were shared.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-11-02 01:59:26"}
  • {"files"=>["https://ndownloader.figshare.com/files/717002"], "description"=>"<p>Note: Ethical considerations preclude the inclusion of “shared vs. non-shared” in this table, but this information is available upon request. JEP∶LMC vol. 30, JPSP vol. 87.</p>1<p>correlational design;</p>2<p>mixed correlational/experimental design, remaining papers involve experimental designs.</p>", "links"=>[], "tags"=>["49"], "article_id"=>387363, "categories"=>["Mathematics", "Science Policy"], "users"=>["Jelte M. Wicherts", "Marjan Bakker", "Dylan Molenaar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026828.t001", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_statistics_for_the_49_papers_/387363", "title"=>"Summary statistics for the 49 papers.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-02 02:02:43"}
  • {"files"=>["https://ndownloader.figshare.com/files/716932"], "description"=>"<p>Distribution of p-values reported as being significant (at p<.05) in 21 papers from which data were shared (N = 561; in black) and in 28 papers from which data were not shared (N = 587; in grey), showing that p-values often lie closer to the typical boundary of significance when data are not shared for reanalysis. Frequencies of reporting errors (as given above the bars) reflect higher error prevalence in papers from which no data were shared.</p>", "links"=>[], "tags"=>["p-values", "reported", "papers"], "article_id"=>387294, "categories"=>["Mathematics", "Science Policy"], "users"=>["Jelte M. Wicherts", "Marjan Bakker", "Dylan Molenaar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026828.g002", "stats"=>{"downloads"=>3, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Distribution_of_p_values_reported_as_being_significant_in_papers_from_which_data_were_shared_or_not_/387294", "title"=>"Distribution of p-values reported as being significant in papers from which data were shared or not.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2011-11-02 02:01:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/716981"], "description"=>"<p>Negative binomial regressions (N = 49; with a log link) of the number of misreporting errors per paper on the log of the number of test statistics, square root of the average p-value of genuinely significant results within the papers, and whether or not the data were shared for reanalysis. Analyses were estimated in SPSS 18.0 (The Zelig package in R gave similar results) with a robust variance estimator to deal with the possibility that errors were dependent within papers. Natural log and square root transformations were used to improve predictors' normality.</p>", "links"=>[], "tags"=>["binomial", "regressions", "errors"], "article_id"=>387343, "categories"=>["Mathematics", "Science Policy"], "users"=>["Jelte M. Wicherts", "Marjan Bakker", "Dylan Molenaar"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0026828.t002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_negative_binomial_regressions_of_the_number_of_reporting_errors_per_paper_/387343", "title"=>"Results of negative binomial regressions of the number of reporting errors per paper.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2011-11-02 02:02:23"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2011-01-01T00:00:00Z", "end_date"=>"2011-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences/Information technology", "average_usage"=>[285, 614, 715, 811, 935, 1030, 1122, 1184, 1247, 1336, 1409, 1489, 1554, 1612, 1666, 1720, 1780, 1836, 1878, 1921, 1968, 2013, 2066, 2125, 2196, 2252, 2312, 2369, 2418, 2474, 2571, 2642, 2723, 2802, 2871, 2948, 3011]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[344, 630, 756, 876, 981, 1083, 1179, 1272, 1346, 1421, 1508, 1583, 1659, 1744, 1809, 1891, 1954, 2030, 2105, 2174, 2247, 2324, 2386, 2441, 2502, 2557, 2621, 2685, 2753, 2825, 2882, 2935, 2989, 3052, 3117, 3181, 3242]}, {"subject_area"=>"/Physical sciences/Mathematics", "average_usage"=>[347, 582, 700, 805, 909, 997, 1061, 1147, 1220, 1282, 1350, 1411, 1471, 1532, 1600, 1665, 1726, 1790, 1868, 1927, 1986, 2048, 2105, 2166, 2229, 2288, 2347, 2407, 2463, 2525, 2589, 2650, 2704, 2755, 2806, 2854, 2896]}, {"subject_area"=>"/Social sciences", "average_usage"=>[340, 584, 708, 809, 915, 1005, 1089, 1174, 1254, 1334, 1408, 1478, 1563, 1648, 1716, 1791, 1847, 1915, 1979, 2044, 2105, 2163, 2218, 2297, 2382, 2436, 2493, 2553, 2618, 2682, 2741, 2786, 2847, 2937, 2989, 3039, 3102]}]}
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