This collection of three works contains the data sets supporting the publication "Convergence in Viral Epidemic Research: Using Natural Language Processing to Define Network Bridges in the Bench-Bedside-Population Paradigm" submitted to the Harvard Data Science Review in November 2020.
The authors were Margaret Powers, Erin McCabe, Sally Luken, Danny Wu, Philip Hagedorn, Ezra Edgerton, Amy Koshoffer, Dorcas Washington, Suraj Kannayyagari, Jennifer Latessa, and James Lee.
This webinar series is an informational series focused on making the most impact with research scholarship. Changes in funder requirements make data sharing a requirement for most types of research data. These five sessions focus on how to make data sharing a bonus to individual researchers and their overall publishing profile while benefiting the greater research community.
This collection holds the webinars and related files sponsored by the Research Data Access and Preservation Association for the following academic years. Website for RDAP - https://rdapassociation.org/
2019-2020
This collection contains data and analysis associated with the International Digital Curation Conference research paper (2018) - Giving datasets context: a comparison study of institutional repositories that apply varying degrees of curation -authored by Amy Koshoffer (University of Cincinnati), Amy Neeser (University of California Berkeley), Linda Newman (University of Cincinnati), Lisa Johnston (University of Minnesota), United States of America
The Coalition for Anti-Racist Action publishes a newsletter several times a year using the SWAY platform. PDF versions of the sway are provided here in this archive. The newsletter serves to update the CARA community on events, actions and information relevant to the work of the coalition.
Editors are:
2023 - Susanne Buzek and Amy Koshoffer
This document is supplemental materials for the book chapter "Playing in the Same Sandbox: Collaborations on Data Management, Research Technologies, and Research Computing" in the book Cases on Establishing Effective Collaborations in Academic Libraries authored by Amy Koshoffer and Amy Latessa
The files in this work represent the presentations and workshop content from the 5th UC Data Day held 2020-10-23.
The theme was “World Changing Data: How Digital Data Will Change Our Future”.
The Keynote speaker was Glenn Ricart, of US Ignite - "Smart Runs on Data"
Interactive Panel featuring: Michael Dunaway (moderator) - Whitney Gaskins (Asst Dean, CEAS - Incl Excellence & Comm Engagmnt) - Zvi Biener (Assoc Professor, A&S Philosophy) - Prashant Khare (Asst Professor, CEAS - Aerospace Eng & Eng Mechanics)- Sam Anand (Professor, CEAS - Mechanical Eng) - Achala Vagal
(Professor Clinical - GEO, COM Radiology Neuroradiology)
Power Sessions:
George Turner - Indiana University - High-Performance Computing at UC
Erin McCabe - University of Cincinnati - Text Mining, Natural Language Processing & AI
link to slides - https://bit.ly/dataday_slides
link to code - https://bit.ly/dataday_code
Videos of the day can be found on the UC Libraries STRC1 youtube channel - https://www.youtube.com/c/STRC1/videos
The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
