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  • Topic Model Results of Ohio Non-Profit Organizations' Mission Language

    Dataset thumbnail: Topic Model Results of Ohio Non-Profit Organizations' Mission Language
    Type:
    Dataset
    Description/Abstract:
    This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    09/20/2021
    Date Created:
    2020-10-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Open Research: Making Harmful Habits History

    Media thumbnail: Open Research: Making Harmful Habits History
    Type:
    Media
    Description/Abstract:
    This webinar was a part of the Data and Computation Science Series. It occurred on March 4, 2021, at 2:00 pm EST. Presenter Bio for Ashley Farley: Over the past decade, Ashley has worked in both academic and public libraries, focusing on digital inclusion and facilitating access to scholarly content. She completed her Masters's in Library and Information Sciences through the University of Washington’s Information School. Ashley is a Program Officer of Knowledge and Research Services at the Bill and Melinda Gates Foundation. In this capacity, she leads the foundation’s Open Access Policy’s implementation and associated initiatives. This includes leading the work of Gates Open Research, a transparent and revolutionary publishing platform. Other core activities involve supporting the strategic and operational aspects of the foundation’s library. This work has sparked a passion for open access, believing that freely accessible knowledge has the power to improve and save lives.” Title of Presentation: Open Research: Making Harmful Habits History
    Creator/Author:
    Farley, Ashley
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    03/05/2021
    Date Modified:
    03/09/2021
    Date Created:
    2021-03-04
    License:
    Attribution 4.0 International

  • APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset

    Document thumbnail: APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset
    Type:
    Document
    Description/Abstract:
    All models and corresponding network visualizations are generated from documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: These topic models are included here as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    02/26/2021
    Date Modified:
    02/26/2021
    Date Created:
    2020
    License:
    CC0 1.0 Universal

  • APPENDIX C: Non-Coronaviridae Topic Network Maps [HIV, ZIKA, H1N1, EBOLA]

    Document thumbnail: APPENDIX C: Non-Coronaviridae Topic Network Maps [HIV, ZIKA, H1N1, EBOLA]
    Type:
    Document
    Description/Abstract:
    All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: Certain Non-Coronaviridae topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    02/26/2021
    Date Modified:
    02/26/2021
    Date Created:
    2020
    License:
    CC0 1.0 Universal

  • APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]

    Document thumbnail: APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]
    Type:
    Document
    Description/Abstract:
    All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July, 2020. All annotations in red were added by the research team. Note: Coronavirus topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    02/26/2021
    Date Modified:
    02/26/2021
    License:
    CC0 1.0 Universal

  • 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
    Description/Abstract:
    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
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    02/26/2021
    Date Modified:
    02/26/2021
    License:
    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
    Description/Abstract:
    README for dataset available through the collection, Examining the Substance of Bone through a Meta-Analysis of Academic Texts.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    11/10/2020
    Date Modified:
    11/10/2020
    License:
    Attribution 4.0 International

  • Initial Steps on a Digital Preservation Policy

    Generic Work thumbnail: Initial Steps on a Digital Preservation Policy
    Type:
    Generic Work
    Description/Abstract:
    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
    Creator/Author:
    Van Mil, James; Orcutt, Zoe; Hayes, Brittany, and Gao, Sidney
    Submitter:
    James Van Mil
    Date Uploaded:
    11/09/2020
    Date Modified:
    11/10/2020
    Date Created:
    2020-06-16
    License:
    All rights reserved

  • Principles and Practice for Accessible Digitization

    Generic Work thumbnail: Principles and Practice for Accessible Digitization
    Type:
    Generic Work
    Description/Abstract:
    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
    Creator/Author:
    Van Mil, James and Gao, Sidney
    Submitter:
    James Van Mil
    Date Uploaded:
    11/09/2020
    Date Modified:
    11/09/2020
    Date Created:
    2020-11-05
    License:
    All rights reserved

  • UC Data Day 2020 Presentations

    Generic Work thumbnail: UC Data Day 2020 Presentations
    Type:
    Generic Work
    Description/Abstract:
    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
    Creator/Author:
    Koshoffer, Amy
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    11/03/2020
    Date Modified:
    12/04/2020
    Date Created:
    2020-10-23
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International