51 to 60 of 81 Results
Jan 27, 2022 -
Replication Data for: How faculty define quality, prestige, and impact of academic journals
Tabular Data - 12.5 KB - 17 Variables, 338 Observations - UNF:6:plaTdfBVn2ECG3ENp4mwWg==
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Dec 4, 2021
Niles, Meredith T.; Schimanski, Lesley A.; McKiernan, Erin C.; Alperin, Juan Pablo, 2020, "Survey responses about review, tenure, and promotion", https://doi.org/10.7910/DVN/MRLHNO, Harvard Dataverse, V2, UNF:6:uj+VT99j/fw5qPomBc++qA== [fileUNF]
Data regarding the perceptions of faculty related to the review, promotion, and tenure process at their universities and on the factors that affect where they submit their publications. |
Dec 4, 2021 -
Survey responses about review, tenure, and promotion
Adobe PDF - 116.8 KB -
MD5: a10ba2f7baaf557d54d84fa209e72e09
Codebook used for interpreting responses to the open-ended Q22 with regards to Collegiality in the RPT process. |
Dec 4, 2021 -
Survey responses about review, tenure, and promotion
Tabular Data - 43.6 KB - 20 Variables, 339 Observations - UNF:6:IGEy0VDHVzUSTTC9XhxwgQ==
Responses to survey questions about how faculty define "High Quality", "Prestige" and "High Impact". Columns with 0 or 1 indicate that response to the left was deemed to fall under the category in column. See 10.1371/journal.pone.0257340 for details. |
Dec 4, 2021 -
Survey responses about review, tenure, and promotion
Tabular Data - 36.2 KB - 16 Variables, 338 Observations - UNF:6:0dUyvZRW+R6TPfjE0q9dYA==
Responses to Q21 and Q22 of survey (Factors most important for Review, Tenure, and Promotion).
See Survey Data Dictionary for interpretation of numeric values. See Collegiality Data Dictionary for interpretation of Open-ended responses. |
Dec 4, 2021 -
Survey responses about review, tenure, and promotion
Adobe PDF - 733.5 KB -
MD5: 0c7df270fc1e9dc16d77628242f2e2d3
A PDF of the online survey questions. |
Adobe PDF - 75.4 KB -
MD5: 3bcb05411f355702b152d463fe9e5258
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Adobe PDF - 1.8 MB -
MD5: 626580490d411f0b4e6d99187515fe9e
Slides from presentation introducing the dataset at the Open Publishing Fest 2021 |
Dec 10, 2020
Fleerackers, Alice; Riedlinger, Michelle; Moorhead, Laura; Ahmed, Rukhsana; Alperin, Juan Pablo, 2020, "Replication Data for: Communicating scientific uncertainty in an age of COVID-19", https://doi.org/10.7910/DVN/WG9VDS, Harvard Dataverse, V1
News stories mentioning COVID-related preprints published in bioRxiv and medRxiv between January and April 2020 from the 15 outlets that mentioned the most preprints during this time period (as determined by Altmetric.com). Each mention was qualitatively coded for various markers of uncertainty (or uncertainty framing devices) and stories were clas... |
Adobe PDF - 678.9 KB -
MD5: fb6edf9c29af1fbc4aff6f00794ab075
Codebook |