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  • Coalition for Anti-Racist Action Newsletter Archive

    Document thumbnail: Coalition for Anti-Racist Action Newsletter Archive
    Type:
    Document
    Description/Abstract:
    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
    Creator/Author:
    Koshoffer, Amy
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    11/01/2023
    Date Modified:
    05/08/2024
    Date Created:
    2023-11-01
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Iterations of the RDS Unit_2012-2022

    Document thumbnail: Iterations of the RDS Unit_2012-2022
    Type:
    Document
    Description/Abstract:
    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
    Creator/Author:
    Koshoffer, Amy
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    04/18/2022
    Date Modified:
    04/18/2022
    Date Created:
    2022-04-18
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • 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

  • COVID 19 literature NLP models – Viral outbreak topic tuning

    Dataset thumbnail: COVID 19 literature NLP models – Viral outbreak topic tuning
    Type:
    Dataset
    Description/Abstract:
    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.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/30/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    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
    Description/Abstract:
    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.
    Creator/Author:
    Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    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
    Description/Abstract:
    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.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    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
    Description/Abstract:
    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
    Creator/Author:
    Koshoffer, Amy; Bessett, Danielle; Castiello, Katherine Jones; Weinstein, Valerie; Sadre-Orafai, Stephanie; Peplow, Amber, and Jenkins, Laura Dudley
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/21/2020
    Date Modified:
    12/14/2020
    Date Created:
    2020-10-21
    License:
    All rights reserved

  • RDAP "Ask Me Anything" Townhall webinar “Thriving as a Data Information Professional”

    Document thumbnail: RDAP "Ask Me Anything" Townhall webinar “Thriving as a Data Information Professional”
    Type:
    Document
    Description/Abstract:
    The first webinar for the 2019-2020 RDAP year occurred on Oct 30th from 3:30 to 4:30 EST was “Ask me Anything” town hall meeting “Thriving as a Data Information Professional”. A panel of experienced data informational professional shared experiences and expertise answered questions about daily work as a data information professional. Panelists were: Wendy Mann - Geroge Mason (director of digital scholarship center) Lynda Kellam - UNC Greensbro, now at Cornell Megan Sapp Nelson - Purdue (data information literacy) Jon Wheeler - New Mexico (data curation librarian) Christie Ann Wiley - U of IL (research data services librarian) Notes were taken by Wanda Marsolek No recording is available
    Creator/Author:
    Koshoffer, Amy; Sapp Nelson, Megan ; Mann, Wendy ; Marsolek, Wanda ; Wiley, Christie Ann; Kellam, Lynda , and Wheeler, Jon
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    05/07/2020
    Date Modified:
    05/07/2020
    Date Created:
    2019-10-03
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • RDAP "Ask Me Anything" Townhall webinar “Using APIs for Non-Programmers”

    Media thumbnail: RDAP "Ask Me Anything" Townhall webinar “Using APIs for Non-Programmers”
    Type:
    Media
    Description/Abstract:
    This is a video recording of the RDAP webinar “Using APIs for Non-Programmers” held on April 22, 2020 @ 1:00 pm EST as part of the RDAP Town Hall “Ask Me Anything” series webinar. Webinar Description: Application programming interfaces -- "APIs" -- are a key way that systems make functionality and detailed information available. Long available only to software developers, modern APIs are quite accessible to the human user, even those with no programming skills! This webinar will cover: - why you might want to access APIs - how to formulate API requests using a web browser - how to do the same using other freely available tools - how to interpret and work with responses - how to translate API documentation to API requests - examples of APIs drawn from repository, preprint, and identifier systems - next steps to crawling information from APIs The webinar is specifically targeted at those working in libraries and library-like settings, who may want or even need to access APIs, but who have no programming or command line experience. Greg Janée is director of the Data Curation Program at the University of California, Santa Barbara, and a certified Carpentry instructor. He's been a researcher and developer in the areas of digital libraries and digital preservation for over twenty years. As a software developer, most recently he was the principal developer of the California Digital Library's EZID persistent identifier service; earlier, he was the principal developer of UCSB's Alexandria Digital Library, Gazetteer Protocol, and related technologies
    Creator/Author:
    Koshoffer, Amy and Janée, Greg
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    04/23/2020
    Date Modified:
    04/23/2020
    Date Created:
    2020-04-22
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Data Management for GIS

    Media thumbnail: Data Management for GIS
    Type:
    Media
    Description/Abstract:
    This video is the recording of the fourth webinar RDAP “Ask me Anything” town hall series entitled “Data Management for GIS projects”, held on February 26, 2020. It was jointly sponsored by RDAP and the University Consortium for Geographic Information Science (UCGIS). UCGIS was host this webinar. Webinar Description: With federal and other funding agencies wanting to ensure long term access to research output, data management planning for GIS projects has great importance. This webinar shares insight on lessons learned through GIS projects and highlights best practices for different steps in project exploration and creation. Also in this webinar, a geology researcher using GIS techniques and collecting geospatial data will explain how she communicated her use of best practices through a data management plan for a successfully funded NSF grant. Attendees will understand the importance of well-written data management plans, how to put those plans into action through implementing data management planning and reproducible research best practices, and how library engagement can help with data management planning. Presenters: Amy Koshoffer, University of Cincinnati; Jennifer Latessa, University of Cincinnati; and Paula Figueiredo, North Carolina State University Slide deck is also included. About UC–GIS: The University Consortium for Geographic Information Science (UCGIS) is a non-profit organization that creates and supports communities of practice for GIScience research, education, and policy endeavors in higher education and with allied institutions. We are the professional hub for the academic GIS community in the United States, with partnerships extending this capacity abroad.
    Creator/Author:
    Koshoffer, Amy; Paula Marques Figueiredo, and Jennifer Latessa
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    02/28/2020
    Date Modified:
    02/28/2020
    Date Created:
    2020-02-27
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International