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  • APPENDIX A: Group Betweenness Centrality for Topic - Coronavidae [SARS, MERS, COVID-19]

    Document thumbnail: APPENDIX A: Group Betweenness Centrality for Topic - Coronavidae [SARS, MERS, COVID-19]
    Type:
    Document
    Descripción/Resumen:
    These Centrality measurements were generated with NetworkX, a Python package for networks. The specific algorithms used for this paper are Betweenness Centrality (where Degree Centrality considers individual topics). Complete Centrality Data for this research can be found at  https://scholar.uc.edu/show/6t053h21x
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    02/26/2021
    Fecha modificada:
    02/26/2021
    Licencia:
    CC0 1.0 Universal

  • README - Examining the Substance of Bone through a Meta-Analysis of Academic Texts

    Document thumbnail: README - Examining the Substance of Bone through a Meta-Analysis of Academic Texts
    Type:
    Document
    Descripción/Resumen:
    README for dataset available through the collection, Examining the Substance of Bone through a Meta-Analysis of Academic Texts.
    Creador/Autor:
    McCabe, Erin E.
    Peticionario:
    Erin E. McCabe
    Fecha modificada:
    11/10/2020
    Fecha modificada:
    11/10/2020
    Licencia:
    Attribution 4.0 International

  • Initial Steps on a Digital Preservation Policy

    Generic Work thumbnail: Initial Steps on a Digital Preservation Policy
    Type:
    Generic Work
    Descripción/Resumen:
    A presentation from the Society of Ohio Archivists 2020 meeting. The University of Akron University Archives and the University of Cincinnati Libraries will present and analyze challenges faced by institutions looking to create, implement and improve their digital preservation program. Armed with the NDSA Levels of Digital Preservation and the Digital Preservation Capability Maturity Model (DPCMM), both institutions discuss strategies to tackle common issues such as minimal staffing, limited resources, procrastination, and legacy digital content. Each institution will also discuss strategies used to handle unique challenges faced in crafting their individual digital preservation policies. Presentation recording available:  https://youtu.be/czemLLqXNh8
    Creador/Autor:
    Van Mil, James; Orcutt, Zoe; Hayes, Brittany, and Gao, Sidney
    Peticionario:
    James Van Mil
    Fecha modificada:
    11/09/2020
    Fecha modificada:
    11/10/2020
    Fecha de creacion:
    2020-06-16
    Licencia:
    All rights reserved

  • Principles and Practice for Accessible Digitization

    Generic Work thumbnail: Principles and Practice for Accessible Digitization
    Type:
    Generic Work
    Descripción/Resumen:
    A presentation at the joint Upper Midwest Digital Collections Conference and Minnesota Digital Library Annual Meeting in 2020. The diversity of a digital collection is often assessed by considering the diversity of its content. In order for collections to be truly inclusive, however, they need to emphasize usability alongside broad representation. The University of Cincinnati Libraries discusses how diversity and accessibility are intersectional considerations of digital collections, and introduces newly implemented workflows and standards designed to create accessible, inclusive digital collections that broaden usability for all. Presentation recording available (Starts at 14 minutes, 30 seconds):  https://youtu.be/srIPaD7RvYo
    Creador/Autor:
    Van Mil, James and Gao, Sidney
    Peticionario:
    James Van Mil
    Fecha modificada:
    11/09/2020
    Fecha modificada:
    11/09/2020
    Fecha de creacion:
    2020-11-05
    Licencia:
    All rights reserved

  • UC Data Day 2020 Presentations

    Generic Work thumbnail: UC Data Day 2020 Presentations
    Type:
    Generic Work
    Descripción/Resumen:
    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
    Creador/Autor:
    Koshoffer, Amy
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    11/03/2020
    Fecha modificada:
    12/04/2020
    Fecha de creacion:
    2020-10-23
    Licencia:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • COVID 19 literature NLP models – Viral outbreak topic tuning

    Dataset thumbnail: COVID 19 literature NLP models – Viral outbreak topic tuning
    Type:
    Dataset
    Descripción/Resumen:
    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.
    Creador/Autor:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    10/30/2020
    Fecha modificada:
    11/05/2020
    Fecha de creacion:
    2020-07
    Licencia:
    CC0 1.0 Universal

  • COVID 19 literature NLP models – Viral outbreak models formatted

    Dataset thumbnail: COVID 19 literature NLP models – Viral outbreak models formatted
    Type:
    Dataset
    Descripción/Resumen:
    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.
    Creador/Autor:
    Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    10/29/2020
    Fecha modificada:
    11/05/2020
    Fecha de creacion:
    2020-07
    Licencia:
    CC0 1.0 Universal

  • COVID 19 literature NLP models - Viral outbreak model centrality files

    Dataset thumbnail: COVID 19 literature NLP models - Viral outbreak model centrality files
    Type:
    Dataset
    Descripción/Resumen:
    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.
    Creador/Autor:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    10/29/2020
    Fecha modificada:
    11/05/2020
    Fecha de creacion:
    2020-07
    Licencia:
    CC0 1.0 Universal

  • Authors' contribution document for JFD Article "Gaming the System : Impediments to Promotion and Women’s Pathways from Associate to Full Professor and from Associate Senior to Senior Librarian

    Document thumbnail: Authors' contribution document for JFD Article "Gaming the System : Impediments to Promotion and Women’s Pathways from Associate to Full Professor and from Associate Senior to Senior Librarian
    Type:
    Document
    Descripción/Resumen:
    This document is the authors' contribution to the article Journal of Faculty Development - Special Section on the Advancement of Women in Higher Education - Gaming the System: Impediments to Promotion and Women’s Pathways from Associate to Full Professor and from Associate Senior to Senior Librarian
    Creador/Autor:
    Koshoffer, Amy; Bessett, Danielle; Castiello, Katherine Jones; Weinstein, Valerie; Sadre-Orafai, Stephanie; Peplow, Amber, and Jenkins, Laura Dudley
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    10/21/2020
    Fecha modificada:
    12/14/2020
    Fecha de creacion:
    2020-10-21
    Licencia:
    All rights reserved

  • Promoting your Research and Research Impact

    Media thumbnail: Promoting your Research and Research Impact
    Type:
    Media
    Descripción/Resumen:
    This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on August 24, 2020, at 2:00 pm EDT. Presenter Bios: Sheila Rabun is the ORCID US Community Specialist at LYRASIS, providing dedicated support for institutions adopting ORCID (including University of Cincinnati). Sheila has a background in academic libraries, with a focus on digital workflows, research support, and advocating for interoperability in academia and scholarly communication workflows. Learn more about Sheila at  https://orcid.org/0000-0002-1196-6279 Melissa Jacquart is an Assistant Professor in the Philosophy Department at the University of Cincinnati and Associate Director for the Center for Public Engagement with Science. Her research focuses on epistemological issues in the philosophy of science, specifically on the use of models and computer simulations in astrophysics. Her research also examines the role philosophy can play in general public understanding of science, and in science education. She also works on ethics & values in science, science policy, feminist philosophy, and educational best practices. Prior to Cincinnati, she was a postdoctoral fellow at the University of Pennsylvania and the Carnegie Observatories. She has also worked for the National Science Foundation Directorate of Social, Behavioral, and Economic Sciences. She received her PhD, MA in Philosophy from The University of Western Ontario (Canada) and has a BS in Astronomy-Physics, Physics, and Philosophy from The University of Wisconsin-Madison.
    Creador/Autor:
    Shelia Rabun; Melissa ; Mark Chalmers, and Rebecca Olson
    Peticionario:
    Amy Koshoffer
    Fecha modificada:
    08/25/2020
    Fecha modificada:
    08/25/2020
    Fecha de creacion:
    2020-08-24
    Licencia:
    Attribution-NonCommercial-ShareAlike 4.0 International