399 research outputs found
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Sharing Your Research Data: URRR and Other Repositories
No full textThis webinar focuses on how to share data and scholarship via web-based repositories including subject-specific providers and the University of Rochester Research Repository (URRR). It also relays information on how to prepare one's data for submission with tips on creating file naming conventions, data cleaning, and copyright considerations. Finally a brief instructional overview of submitting to URRR is presented. This webinar was originally presented via Zoom on April 15, 2024 and is part of the Spring 2024 Data Management and Sharing Series.Included in this workshop package are the webinar recording, transcript, and Power Point slide deck & PDF. </p
Connecting Metadata and Digital Assets: ArchivesSpace and Preservica
No full textSession Description: Bringing together a metadata management system like ArchivesSpace and a digital asset management system like Preservica so that they can communicate with each other can be a complicated process. This presentation will discuss how the University of Rochester developed their workflow to create digital objects within ArchivesSpace efficiently at scale, as well as provide access to the digital surrogates or born digital assets that researchers want to have access to. This process utilizes the catalog sync option that Preservica developed, and specifically discusses how to create SIPs suitable for ingest into Preservica, after which they are synced with ArchivesSpace. These SIPs are difficult to create manually but can be generated more easily with programmatic intervention like Python scripting. This workflow was ultimately unlocked by using the Digitization Work Order Plugin developed by New York University Libraries to pull out the necessary data from ArchivesSpace to satisfy all the needs of the Preservica catalog sync. Ultimately this allows for the import of digital assets into Preservica in such a way that the metadata held in ArchivesSpace could be pulled over to Preservica (and then kept in sync over time) as well as populate ArchivesSpace with digital objects associated with each relevant archival object. These Python scripts were then also turned into a small graphical utility, opening the possibility of leveraging these workflows without having to work in the command line, and instead just being able to press a few buttons to generate SIPs that satisfy both platform’s needs.Presented virtually at the ArchivesSpace Virtual Member Forum on March 27, 2024 from 2:05 to 2:35 PM Eastern Time.PowerPoint presentation is of a very large file size due to embedded video providing demo for software described in session.</p
Data and R Code for SARS-CoV-2 vaccination study in the Dominican Republic manuscript.
No full textThe global COVID-19 pandemic has resulted in approximately 7 million deaths and a historic vaccination effort, with over 13.6 billion doses administered. Despite this, understanding of immune responses in vulnerable populations, such as transplant recipients (TR) and hemodialysis patients (HD), remains limited, especially outside the US and Europe. To address this gap, we analyzed blood samples and deidentified data from the Instituto Nacional de Coordinación de Trasplante (INCORT) in The Dominican Republic, measuring antibody levels to SARS-CoV-2 post-infection and vaccination -BNT162b2 (Pfizer-BioNTech) and Sinovac-CoronaVac (Sinovac)- in TR, HD, and healthy controls (CO). Using a fluorescent multiplex assay (mPlex-CoV) and mixed-effects modeling, we assessed variations in anti-S, anti-RBD, and anti-N IgG antibodies. Results indicate that the CO group experienced an early peak in anti-S and anti-RBD antibodies, followed by stabilization. In contrast, the TR and HD groups showed a slower, gradual increase in antibodies. Despite fluctuations in the HD group, both TR and HD maintained high anti-S and anti-RBD IgG levels, indicating a back-boosting effect from vaccination. However, elevated anti-N IgG levels in TR and HD suggest potential reinfections. Additionally, prior SARS-CoV-2 infection led to higher anti-S IgG levels, with BNT162b2 associated with higher anti-S IgG and CoronaVac with higher anti-N IgG levels. These findings highlight the variability in antibody responses and the need for targeted public health strategies to diverse immunological profiles.</p
God Damn the Bicentennial: A Patriotic Essay by John Gardner
No full textStudents in two of Professor Robert Westbrook's courses in American intellectual history, "The American Mind, 1600-1865" (History 267) and "The American Mind, 1865-1990" (History 268), use manuscript materials as part of a research assignment. This assignment, called "Other People's Mail," requires that students transcribe a document and write an introduction to it, placing the document in its context and suggesting the ways in which it bears on significant themes in the course.Please Note: All rights regarding the papers rest with the authors. The images of the manuscripts may not be reproduced without obtaining prior written permission from the Department of Rare Books and Special Collections.This document was adapted from a webpage hosted on the Rare Books, Special Collections, and Manuscripts website, before being converted into a static document and uploaded to URRR on 2024-10-07.</p
Introduction to Stephen S. Foster's Letter to Richard D. Webb
No full textStudents in two of Professor Robert Westbrook's courses in American intellectual history, "The American Mind, 1600-1865" (History 267) and "The American Mind, 1865-1990" (History 268), use manuscript materials as part of a research assignment. This assignment, called "Other People's Mail," requires that students transcribe a document and write an introduction to it, placing the document in its context and suggesting the ways in which it bears on significant themes in the course.Please Note: All rights regarding the papers rest with the authors. The images of the manuscripts may not be reproduced without obtaining prior written permission from the Department of Rare Books and Special Collections.This document was adapted from a webpage hosted on the Rare Books, Special Collections, and Manuscripts website, before being converted into a static document and uploaded to URRR on 2024-10-03.</p
Postgraduation Employment Over Time (2003 - 2021)
No full textCollege Graduates Over Time (2003-2021) DatasetThis dataset was taken from the National Center for Science and Engineering Statistics (NCSES). The table details the number of employed college graduates by sex, level of highest degree, and major occupation from the years 2003–2021.Dataset Variables:Grouped Data: Sex, Level of Highest Degree, OccupationRange of Years: 2003, 2010, 2013, 2015, 2017, 2019, 2021</p
French OER at UR? Absolument!
No full textThis presentation material supports a workshop presented at the 2024 RIT & UR Staff Conference.
Curious about open pedagogical practices in collaborative course and assignment design? We will share how we planned, developed, and facilitated a course exhibit and student-created open educational resources (OER) as foundations for course curricula. Straying from disposable assignments, these projects put students in participatory, active roles in their learning.</p
Pathways to Inclusive Collections
No full textThis presentation material supports a workshop presented at the 2024 RIT & UR Staff Conference.The University of Rochester River Campus Libraries (RCL) DEIA in Collections team will host a panel discussion on the numerous strategies, challenges, and lessons encountered while attempting to develop an inclusive collection. This panel will put an emphasis on audience collaboration and brainstorming. Lindsey will examine the ways in which academic libraries and public libraries coincide and diverge in diversity of collecting and how we can strengthen that work within academic libraries, from the perspective of a former public librarian.</p
A Compendium of Ethical Issues in Generative AI
No full textThe Collingridge Dilemma posits that the impact of a given technology will not be understood until long after it has become too difficult to change. If generative AI (GenAI) has not already reached this inflection point, it will soon. Tracking the ethical implications of GenAI is challenging to library stakeholders because of its rapid technological advancement and proliferation. This presentation will attempt to support librarians by providing a broad scan of ethical issues inherent in AI generated content, rather than focusing on one or two major issues. Topics discussed will include data and algorithmic bias, plagiarism, misinformation, censorship, environmental impact, equity, and more exotic issues like cyber-religion. Each ethical issue will include a description as well as documented examples. By exploring with this environmental scan, we can more accurately strategize and frame the library profession's stance towards GenAI. The presentation will conclude with a discussion on how to mitigate ethical concerns with GenAI, whether or not it has already passed the Collingridge inflection point. This will also include a brief best practices primer on how to ethically engage with AI technology despite low user agency.Presented on June 11, 2024 at the 2024 Generative AI in Libraries (GAIL) Virtual Conference. To access the video presentation please click here.</p
[ nutrition profile data visualization for Data Bloom 2023-24 ]
No full textThis is a data visualization project based on nutrient profile data submitted for the 2023-24 Data Bloom contest at River Campus Libraries.Author's statement: My visualization shows an expanded nutrient profile data for almost 8,000 food items, from microwave dinners to fresh fruits and veggies. This visualization was designed to convey at-a-glance the nutrient makeup of food by weight to help users make healthier choices. For example, it displays 100% apple juice has the same water, sugar, and carb content as apples, but apples have fiber as well.Data source: https://fdc.nal.usda.gov/ (USDA food data central api).Link to interactive data viz dashboard: https://www.heroku.debugdirect.com/databaseInstructions: look up a food in the search bar to view its nutrition informationFor more examples of Data Bloom Viz competition entries, please visit the Data Bloom Collection.</p