Jerome, Erin

Job Title

Library Publishing and Institutional Repository Librarian

Last Name

Jerome

First Name

Erin

Discipline

Musicology
Scholarly Communication

Expertise

ETDs, institutional repositories, open access, Joseph Haydn

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Search Results

Now showing 1 - 10 of 27

ScholarWorks@UMassAmherst: FY22 Annual Report
(2022-01-01) Jerome, Erin
Full Schedule for 2017 Open Access Week events at the University of Massachusetts Amherst
(2017-10-23) Jerome, Erin
The UMass Amherst Libraries will host a series of events as part of Open Access Week 2017 pertaining to copyright and fair use, open access, electronic theses and dissertations, open technologies, and open data.
Making Migration Less Mysterious: Developing a Migration Plan for ScholarWorks@UMassAmherst
(2023-01-01) Jerome, Erin
In January 2023, after years of environmental scans, interviews with stakeholders and other IR managers, and platform investigations and pilots, the UMass Amherst Libraries made the decision to migrate its IR from bepress' Digital Commons to a combination of Janeway and Atmire-hosted DSpace 7.x. We all love a good migration presentation, but for most of us, migration remains a mysterious process that's difficult to envision. In this talk, I will walk through my process of creating a migration plan for our rather large and unwieldy IR -- from interviews with IR managers who have been through migration, the beginning stages of data cleanup and standardization, and the fun -- Excel column limits! Items uploaded multiple times!--discoveries made along the way. I will also discuss how the cleanup and discoveries are shaping our IR policies moving forward.
Teaching with Data in the Social Sciences: Local Perspectives and Library Contributions
(2022-06-02) Berger, Kathleen; Buckley, Louise; Condon, Patricia; Exline, Eleta; Jerome, Erin; McGinty, Stephen
Data literacy is an increasingly important and complex set of skills that students need to navigate and critically evaluate our data-driven information environment. Libraries at Boston University, the University of Massachusetts Amherst, and the University of New Hampshire were among the 20 institutions conducting parallel studies in Ithaka S+R’s Teaching with Data in the Social Sciences project, an exploratory study of the pedagogical practices of social science instructors who teach using quantitative data in undergraduate courses. In addition to exploring the ways instructors teach and understanding their support needs, this study aimed to develop actionable recommendations for campus stakeholders and identify opportunities for the development of resources, services, or activities in the library to support the use of quantitative data in the classroom. This panel presentation advances conversations in data literacy by highlighting evidence-based recommendations for campuses and libraries to consider when expanding services to support instructors teaching with data and students working with data in the classroom. Each research team will discuss findings from their local research studies and present ideas for supporting communities of practice around teaching with data, collaboratively developing shared support resources, and strengthening library supports for these endeavors. Attendees will learn about participating in a multi-institution study, gain an understanding of the primary issues around teaching with data in social science disciplines, and hear about ideas for supporting data-driven pedagogies in local campus contexts.
ScholarWorks@UMassAmherst: FY21 Annual Report
(2021-01-01) Jerome, Erin
The Bunslinger
(2019-01-01) Jerome, Erin
Literary inspiration: The Gunslinger
Managing your data & research objects for beginners
(2021-01-01) Atwood, Thea P; Jerome, Erin
Do you have data? Or research objects you collect? Maybe you have lots of files on your computer related to your research? Do you sometimes forget which file is your most current version, or where you stored something? Have you ever lost a thumb drive, dropped your laptop, or spilled water on your computer? Good data management practices can help protect you from catastrophic data events, reduce your cognitive load, and save you time! Come learn a few tips and tricks for managing your data that you can implement right now. These beginner tips will be helpful to anyone doing research in any discipline, at any stage of their research career. This workshop is being offered by members of the UMass Amherst Libraries Data Working Group.
Assessment Data for "Envisioning the Future of a Mature IR"
(2022-01-01) Atwood, Thea; Jerome, Erin; Radik, Melanie; Seifried, Rebecca
This dataset contains two spreadsheets: 1) an in-depth functionality assessment of Digital Commons based on the University of Pennsylvania's "Platform Functionality Review" (https://penntrl.wordpress.com/2019/01/23/scrip-appendices/); 2) a running list of required functionality for an institutional repository platform. The spreadsheets accompany a forthcoming book chapter, "Envisioning the Future of a Mature IR: A Midlife Assessment of ScholarWorks@UMassAmherst".
So You Want to Create a Data Repository and your Institution Already (Kind of?) Has One...
(2020-01-01) Jerome, Erin
Teaching with Data in the Social Sciences at the University of Massachusetts Amherst
(2021-01-01) Jerome, Erin; McGinty, Stephen
This report is an investigation of the pedagogical practices of social sciences instructors teaching with quantitative data at the undergraduate level at the University of Massachusetts Amherst. The study was conducted by the University Libraries, and was part of a larger suite of parallel studies coordinated by Ithaka S+R at 20 institutions of higher education in the U.S. The study’s goal is to understand instructors’ undergraduate teaching processes so that institutions can develop local resources to support them in their work. While this local study will contribute to a larger cumulative capstone produced by Ithaka S+R, our recommendations will also inform the ways in which the UMass Amherst University Libraries can better support social science instructors who rely on quantitative data in their undergraduate instruction.