11 to 17 of 17 Results
Jan 27, 2022
Morales, Esteban; Alperin, Juan Pablo, 2022, "Replication Data for: How faculty define quality, prestige, and impact of academic journals", https://doi.org/10.7910/DVN/2FNDXL, Harvard Dataverse, V1, UNF:6:plaTdfBVn2ECG3ENp4mwWg== [fileUNF]
Anonymized and coded survey respondents for open-ended questions asking for the definitions of three terms related to academic journals: High Quality, Prestigious, and High Impact. Each column represents a code, as described in Morales et al. (2021). A value of 1 indicates that this respondent's answer was deemed to include a reference to the conce... |
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. |
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... |
Aug 29, 2019
Enkhbayar, Asura; Haustein, Stefanie; Alperin, Juan Pablo, 2019, "Data for: How much research shared on Facebook is hidden from public view?", https://doi.org/10.7910/DVN/3CS5ES, Harvard Dataverse, V1, UNF:6:Pred5znyHPyoYCePAEoGSg== [fileUNF]
All data required to reproduce results of "How much research shared on Facebook is hidden from public view?". More information about the manuscript, code, and reproducibility can be found here. This dataset contains five spreadsheets from two different sources: 1. Data collected with our own method described in Enkhbayar and Alperin (2018). More de... |
Matthias, Lisa; Fleerackers, Alice; Enkhbayar, Asura; Alperin, Juan Pablo, 2019, "Excerpts from popular online news media that mention opioid-related research in 2017-18", https://doi.org/10.7910/DVN/TAGFBL, Harvard Dataverse, V1, UNF:6:+7spAX5d/Kmx9La6cBvbtA== [fileUNF]
News excerpts, coding, and codebook used for analyzing how popular online news media frame related to opioid addiction in 2017 and 2018. Research was identified through a PubMed query, and news mentions through the Almetric Explorer. Details can be found in the associated publication. |
Jul 11, 2019
Didegah; Ghaseminik, Zahra; Alperin, Juan Pablo, 2019, "Text data for comparing the language used in Wikipedia, the DiabeticConnect Forum, and Research Articles", https://doi.org/10.7910/DVN/X27DSE, Harvard Dataverse, V1, UNF:6:pE4SFkzhKvY+PwYHdhT3sg== [fileUNF]
This dataset contains the text data analyzed in research comparing the language used in a Diabetes-related online Forum with that of Wikipedia and Research articles about Diabetes. The dataset contains 3 files: one for each of the three sources. Details of the data collection methods and filters applied can be found in the related publication. |
Alperin, Juan Pablo; Muñoz Nieves, Carol; Schimanski, Lesley; McKiernan, Erin C.; Niles, Meredith T., 2018, "Terms and Concepts found in Tenure and Promotion Guidelines from the US and Canada", https://doi.org/10.7910/DVN/VY4TJE, Harvard Dataverse, V3, UNF:6:PQC7QoilolhDrokzDPxxyQ== [fileUNF]
Terms and concepts related to open access, public engagement, research metrics and publication types found in review, tenure, and promotion guidelines from 129 universities from the United States and Canada. Python code (Jupyter notebook) for computing aggregations is available on Github. Other publications from this project are forthcoming. Sign u... |
