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  • Mallory C. Kidwell
Badges to Acknowledge Open Practices: A Simple, Low-Cost, Effective Method for Increasing Transparency
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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.

Subject:
Biology
Psychology
Material Type:
Reading
Provider:
PLOS Biology
Author:
Agnieszka Slowik
Brian A. Nosek
Carina Sonnleitner
Chelsey Hess-Holden
Curtis Kennett
Erica Baranski
Lina-Sophia Falkenberg
Ljiljana B. Lazarević
Mallory C. Kidwell
Sarah Piechowski
Susann Fiedler
Timothy M. Errington
Tom E. Hardwicke
Date Added:
08/07/2020
Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition
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CC BY
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Access to data is a critical feature of an efficient, progressive and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown whether published findings can be reproduced by repeating reported analyses upon shared data (‘analytic reproducibility’). To investigate this, we conducted an observational evaluation of a mandatory open data policy introduced at the journal Cognition. Interrupted time-series analyses indicated a substantial post-policy increase in data available statements (104/417, 25% pre-policy to 136/174, 78% post-policy), although not all data appeared reusable (23/104, 22% pre-policy to 85/136, 62%, post-policy). For 35 of the articles determined to have reusable data, we attempted to reproduce 1324 target values. Ultimately, 64 values could not be reproduced within a 10% margin of error. For 22 articles all target values were reproduced, but 11 of these required author assistance. For 13 articles at least one value could not be reproduced despite author assistance. Importantly, there were no clear indications that original conclusions were seriously impacted. Mandatory open data policies can increase the frequency and quality of data sharing. However, suboptimal data curation, unclear analysis specification and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings.

Subject:
Information Science
Material Type:
Reading
Provider:
Royal Society Open Science
Author:
Alicia Hofelich Mohr
Bria Long
Elizabeth Clayton
Erica J. Yoon
George C. Banks
Gustav Nilsonne
Kyle MacDonald
Mallory C. Kidwell
Maya B. Mathur
Michael C. Frank
Michael Henry Tessler
Richie L. Lenne
Sara Altman
Tom E. Hardwicke
Date Added:
08/07/2020