399 research outputs found
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Data Skills 2025: Sharing Your Research with URRR
No full textDid you know the UR has its own repository where you can share your research? Called the University of Rochester Research Repository (URRR), students, faculty, and staff can share their research, data, code, posters, articles, videos, etc.! Learn tips on how to share your research, tour URRR and try it out!This workshop is part of the Data Skills series, and co-taught by UR Libraries Data Services and UR Libraries Open Publishing Librarian. Feel free to contact us with any data or publishing questions you have! To receive the zoom link for this workshop, please register.This webinar was presented on April, 30th, 2025 via Zoom.</p
Dataset for vision and sway motion perception balance study
No full textWe measured head sway and perception of either visual motion or self-motion using virtual reality to determine whether perception influenced body sway.</p
Supplemental material for Whole genome transcriptomics reveal distinct atrial versus ventricularresponses to neonatal hyperoxia
No full textSupplemental tables for paper to be published in the American Journal of Physiology: Heart and Circulatory Physiology</p
Love Data 2025: Mapping the Past with QGIS
No full textThis workshop was recorded via Zoom on Tuesday, February 11, 2025.Discover the power of open-source QGIS in this 75 minutes workshop focused on georeferencing historical maps. Learn how to align historical maps with modern geographic data to unlock spatial insights from the past. The session will also introduce basic data creation techniques, empowering you to overlay, analyze, and interpret historical and current datasets. Perfect for beginners and anyone interested in exploring history through the lens of GIS!To follow along with the workshop, please ensure you install the free, open-source software QGIS on your computer prior to the workshop. You can download it here. Be sure to select the "Long Term Release" version rather than the latest release.</p
Omeka S Metadata Application Profile
No full textThis profile was created to help the University of Rochester Libraries maintain consistent metadata standards throughout the digital collections contained within Omeka S. Qualified Dublin Core was selected as the primary metadata schema because of its ease of use, adaptability, and interoperability.This document is meant to be a reference guide for catalogers/metadata specialists and to showcase the available descriptive options for library staff interested in housing a digital collection in Omeka S.</p
Omeka S Instance Scope
No full textThe following outlines the purpose for each of the instances of Omeka S managed by Digital Initiatives for the University of Rochester Libraries.</p
Digital Asset Technical Requirements
No full textThis documentation will provide clarity and context for the digitization of cultural heritages materials for the purpose of ingesting them through the Digital Preservation Service to ensure that they are able to be accessed for as long as possible and in as many different circumstances as possible. The contents of this policy follow established standards developed by national organizations such as the Library of Congress to be in alignment with best practices developed by the digital preservation community and the activities of the leading practitioners in the field.</p
Digital Collaborative Governance Team Project Plan Instructions
No full textThe Digital Collaborative Governance Team (DCGT) encourages all University of Rochester Libraries staff to submit project plans. For DCGT to have enough information on your project to place it on the DCGT project road map, project plans must address each of the six sections described in this document.The first five sections of this document should be addressed in your completed Project Plan. The last section should be addressed in your completed Detailed Communications Plan. Both templates are a part of the Project Management Toolkit.</p
Archive-It Metadata Application Profile
No full textThis profile was created to help the University of Rochester Libraries maintain consistent metadata standards when using Archive-It to describe archived websites and collections. Archive-It is a web archiving service used by River Campus Libraries to capture and preserve web content related to the University of Rochester and the city of Rochester.Archive-It uses the Dublin Core Metadata Set, version 1.1, as the metadata standard across their three levels of access: Collection, Seed, and Document. This application profile makes use of this structure and is meant to be a reference guide for catalogers/metadata specialists and web content curators. Collections of archived websites should be described at both the Collection and Seed level.The standards outlined in this profile are primarily adapted from:Dooley, Jackie, and Kate Bowers. 2018. Descriptive Metadata for Web Archiving: Recommendations of the OCLC Research Library Partnership Web Archiving Metadata Working Group. Dublin, OH: OCLC Research. https://doi.org/10.25333/C3005C.</p
Data Bloom 2024: Cleaning and Visualization with Excel (Windows)
No full textData Bloom: Cleaning and Visualization with Excel (Windows) was presented via Zoom on Wednesday, October 9, 2024 as part of the Fall 2024 Data Bloom webinar series.Excel is one of the world’s most practical tools. However, many people feel unaware of the different tasks one can perform in Excel. Join the UR Libraries’ workshop on Cleaning and Visualization in Excel to learn a wide array of Excel skills. Follow along with our instructors as you clean, explore, and visualize a dataset. Beginner-friendly and welcome to Excel users of all skill levels, this workshop is intended for individuals using a Windows computer.This record includes all workshop activity materials, the PowerPoint slide deck, and recorded session with subtitles.</p