Search Constraints

« Previous | 1 - 20 of 325 |
Number of results to display per page
View results as:
List Gallery Masonry Slideshow

Search Results

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

    8k71nj62w?file=thumbnail
    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]

    Z029p6160?file=thumbnail
    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]

    Q811km226?file=thumbnail
    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

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

    Bg257g718?file=thumbnail
    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

    Db78td43b?file=thumbnail
    Type:
    GenericWork
    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; Gao, Sidney, and Hayes, Brittany
    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

    Ms35tb23q?file=thumbnail
    Type:
    GenericWork
    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:
    Gao, Sidney and Van Mil, James
    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

    9k41zg15c?file=thumbnail
    Type:
    GenericWork
    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

    Work
    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:
    Powers, Margaret; Kannayyagar, Suraj; Hagedorn, Philip; Wu, Danny; Edgerton, Ezra; Luken, Sally; McCabe, Erin; Washington, Dorcas; Koshoffer, Amy; Latessa, Jenny, and Lee, James
    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

    Work
    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:
    Washington, Dorcas; Kannayyagar, Suraj; Latessa, Jenny; Koshoffer, Amy; Wu. Danny; Power, Margaret; Lee, James; Edgerton, Ezra; McCabe, Erin; Luken, Sally, and Hagedorn, Philip
    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

    9c67wp55v?file=thumbnail
    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:
    Latessa, Jenny; Washington, Dorcas; Koshoffer, Amy; McCabe, Erin; Wu, Danny; Kannayyagar, Suraj; Powers, Margaret; Edgerton, Ezra; Lee, James, and Luken, Sally
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • Promoting your Research and Research Impact

    Nv935433z?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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.
    Creator/Author:
    Shelia Rabun; Mark Chalmers; Melissa , and Rebecca Olson
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    08/25/2020
    Date Modified:
    08/25/2020
    Date Created:
    2020-08-24
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • Publishing Data in Repositories

    Bv73c179g?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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 10, 2020, at 2:00 pm EDT. Presenter Bios: Lawrence Bennett, Fire & EMS Law,  https://doi.org/10.7945/yex7-xj45 Larry is an educator who has worked with Fire departments all over the nation. A noted educator, his textbook is used by professional groups and universities. Abigail Goben, MLS, is an Associate Professor, Data Management Librarian, and Research Data Policy Advisor at the University of Illinois at Chicago. She teaches Evidence-Based Practice for the College of Dentistry, in the Clinical Informatics program, and a graduate Data Management course. Her current research focuses on student privacy and learning analytics, efficacy of data education, and research data policy. She is a co-investigator for the IMLS funded Data Doubles project. She blogs at HedgehogLibrarian.com and can be found on Twitter as @hedgielib. Session Description: Publishing Data In Repositories - August 10th from 2-3pm The currency of academia has long been the article. However, with supplemental materials in so many formats, the nature of the scholarly output has changed dramatically. Additionally funders and journals are requiring that the evidence for the articles is also available. Repositories are an excellent venue for these additional forms of scholarly, particular the data. In this session, attendees will learn about the nature of changing publication outputs, how repositories can help provide the needed infrastructure to share data and other research outputs, and how to make a bigger impact with your scholarship through publishing in a repository.
    Creator/Author:
    Konecny, Mark; Jason, Don; Goben, Abigail, and Bennett, Lawrence
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    08/19/2020
    Date Modified:
    08/24/2020
    Date Created:
    2020-08-10
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • Understanding Open Access and Open Data

    1j92g876r?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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 July 27, 2020, at 2:00 pm EDT. Due to technical difficulties, the presentation starts at 8:47. The presenter was Claudio Aspesi, Senior Research Analyst. He joined Sanford C. Bernstein & Co., LLC, in 2004 covering European media stocks. Previously he was Global Senior Vice President of Strategy at EMI Music and was responsible for defining the company’s business model as the music industry entered the digital age. Before joining EMI Music in 2002, Mr. Aspesi was a member of the executive team at Airclic, an Internet infrastructure company, and prior to that a Principal at McKinsey and Co., working with many leading media and entertainment companies. Mr. Aspesi graduated with the highest honors from Universita Luigi Bocconi, Milan, with a Laurea in Economia Aziendale. Session Description - Open data and metadata - opportunities, risks, and possible actions Research data is at the core of what universities do. Its value to researchers is, of course, paramount - and open science offers significant benefits to the scientific community. But this data, and the attached metadata, are increasingly valuable for third parties as well. We will discuss how research data and metadata increasingly overlaps with all the other data produced by academic institutions, how it is becoming increasingly valuable outside the academic community, and how it could become even more valuable in the future. The collection, analysis, synthesis and preservation of data and metadata, however, pose significant issues as well; for example, data can and is being used to evaluate individuals (with the biases implicit in developing algorithms to analyze them). More broadly, the collection and analysis of data raises privacy and academic freedom concerns, and so does the lack of transparency and accountability of third party users. Ultimately, the deployment of data analytics and Artificial Intelligence tools should fit with the broader values of the academic community, such as equity and sustainability - whether it does so is controversial. In addition to the need to establish principles for the use of data analytics and Artificial Intelligence, there are also significant ethical questions that need to be addressed, and that pose significant challenges, and there are questions about how to ensure the long term preservation of data and metadata. We will close the presentation with a look at possible steps that the academic community ought to take to address all these issues. We hope that a discussion will follow, in order to address questions and issues, as well as to gather points of view from participants
    Creator/Author:
    Aspesi, Claudio
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    07/28/2020
    Date Modified:
    07/28/2020
    Date Created:
    2020-07-27
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • Getting Published - Publishers Panel

    9c67wp44b?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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 July 13, 2020, at 2:00 pm EDT. Presenter Bio: Jeffrey Layne Blevins (PhD) - is Head of the Journalism Department at the University of Cincinnati and editor of Democratic Communiqué. His scholarly focus is the political economy of U.S. media industries, and his most research includes data visualizations of social media activity involving social justice issues and the spread of misinformation on Twitter. The Communiqué is the official publication of the Union for Democratic Communications Victoria Carr (PhD) - Professor of Early Childhood Education/Human Development and Executive Director of the Arlitt Center for Education, Research, and Sustainability at the University of Cincinnati, conducts research related to play and learning environments, teacher pedagogies, and children’s experiences in nature. Her research on nature playscapes and STEM education has been supported by the US National Science Foundation. She serves as Co-Editor for Children, Youth & Environments, co-chair of the Leave No Child Inside Greater Cincinnati Collaborative, and as a Board of Directors member for Cincinnati Nature Center. She is an advocate for mindful, sustainable and child-friendly communities. Theresa Culley (PhD) - is a Professor and Head of the Department of Biological Sciences. As a plant biologist, she co-founded and currently serves as Editor-in-Chief of Applications in Plant Sciences, an online methods journal published by the Botanical Society of America in association with Wiley Publishing. The journal highlights novel methods in all areas of the plant sciences, serving established professionals as well as junior researchers around the world. Steven Lange - Director, graduated from Heidelberg College in Tiffin, Ohio with a Bachelor of Science degree in Biology. Steve became our director in 2013. He has over 25 years of experience in the leather industry, including tannery, finishing, and automotive cutting/wrapping operations. In addition to continually growing our roster of clients, he has taught over 200 students in our various classes. His knowledge of leather testing procedures and processes is unrivaled. In his free time, he volunteers for the Leader Dogs for the Blind organization, is the editor of the JALCA (Journal of the American Leather Chemists Association) and enjoys spending time with his family and dogs. Session Description: Publications have long been the currency for academia. The first publication can be the hardest. And today’s scholarly articles are more than pdfs and can include multi-media supplemental materials including raw or additional data, videos, interactive maps, and other components of your scholarship process. In this one hour web session, UC faculty who are journal editors will discuss how to - dentify the right journal for your work - avoid predatory journals - maximize your research impact through altmetrics and data publishing - increase your understanding of the publishing process through opportunities such as being a guest editor on a special issue or serving as a reviewer. This event is free and open to all seeking to publish their scholarship and maximize its impact.
    Creator/Author:
    Blevins, Jeffrey Layne; Lange, Steven; Culley, Theresa, and Carr, Victoria
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    07/17/2020
    Date Modified:
    07/28/2020
    Date Created:
    2020-07-13
    License:
    Attribution 4.0 International

  • Handling IP and Data in Grants

    Jd472x957?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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 June 29, 2020, at 1:00 pm EDT. Presenter Bio: Geoffrey Pinski is the Assistant Vice President for Technology Transfer in the University of Cincinnati's Office of Innovation. Housed in UC's 1819 Innovation Hub, Geoffrey leads the team responsible for identifying and commercializing the research and innovations of UC’s faculty, staff, and students. Geoffrey rose through ranks, holding nearly every position along the way; starting first as an extern during law school. Under his leadership, the office has set records for invention disclosures, licenses, and startups. As the President of the Ohio Technology Transfer Officers Counsel, he helped develop the Ohio IP Promise; a promise by all 14 states and 2 of the private institutions in Ohio to provide a unified process for commercialization. Session Description: Data is a loaded term - it covers everything from raw numbers to software code. Come learn more about the intersection of Intellectual Property and data; how to protect data, while sharing it; and how and when commercialization might be an avenue. And finally, learn what resources are available to help you navigate the waters of data and Intellectual Property. There is both a ppt slide deck and a mp4 session.
    Creator/Author:
    Geoffrey Pinski
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    07/01/2020
    Date Modified:
    08/19/2020
    Date Created:
    2020-06-29
    License:
    Attribution 4.0 International

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

    Jq085m25j?file=thumbnail
    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 ; Wiley, Christie Ann; Marsolek, Wanda ; 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”

    Bv73c1718?file=thumbnail
    Type:
    Medium
    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:
    Janée, Greg and Koshoffer, Amy
    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

    9306t0705?file=thumbnail
    Type:
    Medium
    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:
    Paula Marques Figueiredo; Jennifer Latessa, and Koshoffer, Amy
    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

  • RDAP "Ask Me Anything" Townhall webinar "What is different about Clinical Data?"

    0g354g333?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    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.
    Creator/Author:
    Navarro, Christy E ; Koshoffer, Amy; Sloane, Lori D , and Exner, Nina
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    01/31/2020
    Date Modified:
    02/21/2020
    Date Created:
    2020-01-29
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International

  • RDAP "Ask Me Anything" Townhall webinar on Institutional Data Policies

    6682x495r?file=thumbnail
    Type:
    Medium
    Description/Abstract:
    This webinar was presented to the RDAP community on December 2, 2019 at 12 pm EST. The goal of the webinar was to hear from the RDAP community about their experiences with institutional research data policies that regulate the ownership, management, and transfer of research data in an institution. The webinar organizing committee was Sophie Hou, Amy Schuler, and Clara Liebot invited panelists were: Kristin Briney, Biology & Biochemistry Librarian, Caltech University, Heather Coates, Digital Scholarship & Data Management Librarian / Co-Director, Center for Digital Scholarship, Indiana University Purdue University Indianapolis, Abigail Goben, Information Services and Data Management Librarian Associate Professor, University of Illinois-Chicago, Jonathan Petters, University Libraries Data Management Consultant and Curation Services Coordinator, Virginia Polytechnic Institute and State University. Background/Use Case (provided by Clara Llebot of Oregon State University): I work in a research intensive university as the library data management specialist. I have worked occasionally on data policies during my time here, like when we wrote the policy that regulates dataset reviews in our institutional repository. These policies were usually flexible, informative, and a helpful tool for me. Earlier this year I was asked to be part of a committee that would create an institutional research data management policy in our institution. I was thrilled that the library was being asked to participate, and at the same time terrified that I had no idea what I was getting into. I have been generally interested in concepts around data ownership, the interactions between copyright and data, decision making regarding research data, etc., but I felt unprepared.An institutional research data policy is, from my perspective, a policy that affects a lot of people, and that has the potential of changing behaviors and research practices in a way that I am definitely not used to. We are still beginning the process of creating the policy, so right now what I have is mostly questions, not answers, about what an institutional research data policy should say. Main Discussion Questions: 1. Motivations for the policy Is an institutional research data policy necessary in any institution? What are the issues/gaps that we are trying to address through this policy? What should be the goal of an institutional research data policy? 2. Roles and responsibilities Who should be involved in creating this kind of policy? How should the faculty be involved in the creation of this policy? How should a research data policy be enforced? How should students be affected by this policy? 3. Outcomes of existing data policies What is the type of content addressed in an institutional research data policy? Should ownership be a part of it? Are research data policies encouraging or deterring open data? What can we do, when writing this type of policy, to make clear that the university supports open data? Or should this be in different policies? What are some examples of situations that are easier/better because there is a research data policy at an institution?
    Creator/Author:
    Koshoffer, Amy
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    12/03/2019
    Date Modified:
    01/31/2020
    Date Created:
    2019-12-02
    License:
    Attribution-NonCommercial-NoDerivs 4.0 International