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Koshoffer, Amy
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- Type:
- Document
- Descripción/Resumen:
- 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
- Creador/Autor:
- Koshoffer, Amy
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 04/18/2022
- Fecha modificada:
- 04/18/2022
- Fecha de creacion:
- 2022-04-18
- Licencia:
- Attribution-NonCommercial-ShareAlike 4.0 International
- 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
- 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
- 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
- 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
- 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
- Type:
- Document
- Descripción/Resumen:
- 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
- Creador/Autor:
- Koshoffer, Amy; Sapp Nelson, Megan ; Mann, Wendy ; Marsolek, Wanda ; Wiley, Christie Ann; Kellam, Lynda , and Wheeler, Jon
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 05/07/2020
- Fecha modificada:
- 05/07/2020
- Fecha de creacion:
- 2019-10-03
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Media
- Descripción/Resumen:
- 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
- Creador/Autor:
- Koshoffer, Amy and Janée, Greg
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 04/23/2020
- Fecha modificada:
- 04/23/2020
- Fecha de creacion:
- 2020-04-22
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Media
- Descripción/Resumen:
- 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.
- Creador/Autor:
- Koshoffer, Amy; Paula Marques Figueiredo, and Jennifer Latessa
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 02/28/2020
- Fecha modificada:
- 02/28/2020
- Fecha de creacion:
- 2020-02-27
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Media
- Descripción/Resumen:
- This webinar was presented to the RDAP community on January 29, 2020 @ 1 pm EST. The goal of the webinar was to raise awareness of the special requirements of clinical data for data management. Managing data has a number of common principles that get applied to each subject domain. As a result, it’s easy to start consideration of data with a disciplinary subject and data structure. But in the health sciences and medicine there is a key issue that has to be asked first: Is it clinical research data? Before delving into metadata standards, FAIR principles, or sharing, a health sciences data librarian often starts with the clinical/nonclinical distinction. But what’s so special about clinical data? What do we even mean when we talk about clinical data? This session will introduce basic concepts in clinical data management, processes that are commonly used by researchers looking to do clinical data research. We will explore how a health sciences library can provide patron support on local infrastructure for accessing and using clinical data for research. We will also provide resources for further exploration by librarians and patrons. Attendees will come away with: (1) a better understanding of basic terminology and data workflows in clinical research data management; (2) a sense of typical workflows that happen with the clinical research data lifecycle; (3) an introduction to systems in clinical data collection and analysis, particularly REDCAP; and, (4) at least one answer to the question of “What’s different about clinical?” When it comes to data. Date: January 29, 2020 @ 1 pm EST Presenters: Nina Exner is the research data librarian at Virginia Commonwealth University, serving both the medical and core campuses. Before joining VCU in 2017, she was a Researcher and Grant Support Services librarian, supporting all disciplines. She received her Master’s in Library Science in 1997 from North Carolina Central University and her Ph.D. in information science from UNC-Chapel Hill in 2019. ORCID 0000-0002-8746-8364 Christy E Navarro joined UC Davis in August of 2019 as Health Library Informaticist at Blaisdell Medical Library. Prior to that she designed privacy programs for large health systems in California, helped implement ecosystems of research data sharing, developed best practice guidelines in data management, and served as the resource of choice for privacy, data de-identification, and research data questions. She brings 20 years of expertise in healthcare informatics, health information exchange, process improvement, program design, population health improvement, human subject research and patient & consumer privacy. Christy has a Master of Science in Health Informatics from UC Davis Health and a Bachelor of Science in Business with an emphasis in Management Information Systems from CSU Sacramento. Lori D Sloane has been working at the University of New Mexico Health Sciences Center since 1990. For the first 23 years, she has been the IT support for researchers on campus. Lori brought REDCap to the University of New Mexico as one of the first 13 sites to pilot this software. She transitioned into a Data Manager position for the Health Sciences Library and Informatics Center seven years ago.
- Creador/Autor:
- Koshoffer, Amy; Sloane, Lori D ; Navarro, Christy E , and Exner, Nina
- Peticionario:
- Amy Koshoffer
- Fecha modificada:
- 01/31/2020
- Fecha modificada:
- 02/21/2020
- Fecha de creacion:
- 2020-01-29
- Licencia:
- Attribution-NonCommercial-NoDerivs 4.0 International