Sophia Crüwell, Deborah Apthorp, Bradley J Baker, Lincoln Colling, Malte Elson, Sandra J Geiger, Sebastian Lobentanzer, Jean Monéger, Alex Patterson, D Samuel Schwarzkopf, Mirela Zaneva, Nicholas J L Brown
{"title":"徽章里有什么?开放数据徽章政策的计算再现性研究,发表于《心理科学》一期。","authors":"Sophia Crüwell, Deborah Apthorp, Bradley J Baker, Lincoln Colling, Malte Elson, Sandra J Geiger, Sebastian Lobentanzer, Jean Monéger, Alex Patterson, D Samuel Schwarzkopf, Mirela Zaneva, Nicholas J L Brown","doi":"10.1177/09567976221140828","DOIUrl":null,"url":null,"abstract":"<p><p>In April 2019, <i>Psychological Science</i> published its first issue in which all Research Articles received the Open Data badge. We used that issue to investigate the effectiveness of this badge, focusing on the adherence to its aim at <i>Psychological Science</i>: sharing both data and code to ensure reproducibility of results. Twelve researchers of varying experience levels attempted to reproduce the results of the empirical articles in the target issue (at least three researchers per article). We found that all 14 articles provided at least some data and six provided analysis code, but only one article was rated to be exactly reproducible, and three were rated as essentially reproducible with minor deviations. We suggest that researchers should be encouraged to adhere to the higher standard in force at <i>Psychological Science</i>. Moreover, a check of reproducibility during peer review may be preferable to the disclosure method of awarding badges.</p>","PeriodicalId":20745,"journal":{"name":"Psychological Science","volume":"34 4","pages":"512-522"},"PeriodicalIF":4.8000,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"What's in a Badge? A Computational Reproducibility Investigation of the Open Data Badge Policy in One Issue of <i>Psychological Science</i>.\",\"authors\":\"Sophia Crüwell, Deborah Apthorp, Bradley J Baker, Lincoln Colling, Malte Elson, Sandra J Geiger, Sebastian Lobentanzer, Jean Monéger, Alex Patterson, D Samuel Schwarzkopf, Mirela Zaneva, Nicholas J L Brown\",\"doi\":\"10.1177/09567976221140828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In April 2019, <i>Psychological Science</i> published its first issue in which all Research Articles received the Open Data badge. We used that issue to investigate the effectiveness of this badge, focusing on the adherence to its aim at <i>Psychological Science</i>: sharing both data and code to ensure reproducibility of results. Twelve researchers of varying experience levels attempted to reproduce the results of the empirical articles in the target issue (at least three researchers per article). We found that all 14 articles provided at least some data and six provided analysis code, but only one article was rated to be exactly reproducible, and three were rated as essentially reproducible with minor deviations. We suggest that researchers should be encouraged to adhere to the higher standard in force at <i>Psychological Science</i>. Moreover, a check of reproducibility during peer review may be preferable to the disclosure method of awarding badges.</p>\",\"PeriodicalId\":20745,\"journal\":{\"name\":\"Psychological Science\",\"volume\":\"34 4\",\"pages\":\"512-522\"},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2023-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychological Science\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/09567976221140828\",\"RegionNum\":1,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychological Science","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/09567976221140828","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
What's in a Badge? A Computational Reproducibility Investigation of the Open Data Badge Policy in One Issue of Psychological Science.
In April 2019, Psychological Science published its first issue in which all Research Articles received the Open Data badge. We used that issue to investigate the effectiveness of this badge, focusing on the adherence to its aim at Psychological Science: sharing both data and code to ensure reproducibility of results. Twelve researchers of varying experience levels attempted to reproduce the results of the empirical articles in the target issue (at least three researchers per article). We found that all 14 articles provided at least some data and six provided analysis code, but only one article was rated to be exactly reproducible, and three were rated as essentially reproducible with minor deviations. We suggest that researchers should be encouraged to adhere to the higher standard in force at Psychological Science. Moreover, a check of reproducibility during peer review may be preferable to the disclosure method of awarding badges.
期刊介绍:
Psychological Science, the flagship journal of The Association for Psychological Science (previously the American Psychological Society), is a leading publication in the field with a citation ranking/impact factor among the top ten worldwide. It publishes authoritative articles covering various domains of psychological science, including brain and behavior, clinical science, cognition, learning and memory, social psychology, and developmental psychology. In addition to full-length articles, the journal features summaries of new research developments and discussions on psychological issues in government and public affairs. "Psychological Science" is published twelve times annually.