''Brian Zelip (University of Maryland, Baltimore)''
'''Teaching Python Camp in the Library'''
''Laura Wrubel & Megan Potterbusch (George Washington University)''
*Observing a strong desire for Python skills across disciplines, GW Libraries recently developed Python Camp for students and faculty. Presenters will share how they leveraged a GW faculty member’s openly licensed curriculum on computational foundations and taught introductory Python skills using live-coding instruction via JupyterHub and the Open edX platform. Learners who completed course requirements received a certificate of completion. The Camp has been delivered twice so far, as a 5-day Spring Break Camp and a 3-day Summer Camp. Presenters will share details about the structured camp format, what they've learned so far, and plans for the future.
'''The Digital is Critical: Creating and Maintaining Equitable Library Systems'''
''Kate Dohe (University of Maryland)''
*Digital libraries should be one of the most powerful tools available to libraries to reduce economic, geographic, ableist, and political barriers to global open access for scholarly and cultural materials. But how well are digital library systems delivering on these social justice aspirations? The application landscape has dwindled to a handful of commercial applications owned by businesses with long histories in commodifying content, and an array of open source products with high technological barriers to entry. Inequalities between institutions, communities, and valuation of labor are increasingly apparent within the open source digital library space. This discussion will explore the impacts of stratification on library technologies, and consider critical approaches to create and maintain digital projects that serve equitable goals
. [This is a version of a talk I recently gave as part of the "Algorithmic Bias" webinar sponsored by the ACRL].
'''USMAI data warehouse initiative: Overview of application design and ETL process development'''
''Tiffany Schoneboom & Joseph Koivisto (University of Maryland)''
*Starting in 2018, the Consortial Library Applications Support (CLAS) group at the University of Maryland began a data warehouse design and implementation initiative to better serve the reporting and analytics needs of University System of Maryland and Affiliated Institutions (USMAI) consortium member institutions. Working in conjunction with a data warehouse architect, members of the CLAS team and applications developers from the Software Systems Development and Research (SSDR) developed an applications architecture to support the storage, dissemination, and use of integrated library system data in a web-accessible portal. Instrumental in this endeavour was the development of an extract-transform-load (ETL) framework to facilitate the exchange of data between library systems and data warehouse data layers. In this presentation, we will provide a brief overview of the project background and the activities undertaken to ensure the usability of our platform by consortial members. Furthermore, this presentation will provide an in-depth look at the development of ETL methodologies, the design framework that informed development activities, and a status report on current design and testing.