→Presentations: Added link to group notes doc
*'''1:30 - 1:45 PM:''' Response to feedback
*'''1:45 - 2:45 PM:''' Presentations
**''The Digital is Critical: Creating and Maintaining Equitable Library Systems'' - Kate Dohe (University of Maryland)**''USMAI data warehouse initiative: Overview of application design and ETL process development'' - Tiffany Schoneboom & Joseph Koivisto (University of Maryland)
*'''2:45 - 3:30 PM:''' Lightning talks & spontaneity!
**''Successes and Setbacks in the University of Maryland - College Park Dataverse Pilot'' - Margaret Rose Hunt (University of Maryland)**''Getting Started with Google Analytics Segments'' - Jay Brite & Cindy Zhao (University of Maryland)**''Solr Databases and Docker'' - Ben Wallberg (University of Maryland)
*'''3:30 - 4:00 PM:''' Wrap-up discussion & closing remarks
*'''4:00 - ? PM:''' Happy Hour [https://www.redemmas.org/ (Red Emma's)]
== Presentations ==
'''Platforms for Using Modern Web Dev Tools'''
'''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.
'''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.
'''Successes and Setbacks in the University of Maryland - College Park Dataverse Pilot'''
''Margaret Rose Hunt (University of Maryland)''
*How many things can go wrong when implementing a new system? Apparently quite a few. This session will give an overview of the Dataverse pilot that is being conducted at the University of Maryland - College Park and a Library Science graduate student's perspective on working inside a data repository for the first time.
'''Getting Started with Google Analytics Segments'''
''Jay Brite & Cindy Zhao (University of Maryland)''
*How and why to create a custom GA segment, looking at use cases from current projects with data cleanup, campus traffic, and UX personas.
'''Solr Databases and Docker'''
''Ben Wallberg (University of Maryland)''
*UMD has been providing discovery of single-table metadata (ie, spreadsheet) using Solr via our website. We are now experimenting with Docker to simplify deployment of data or schema changes to the Solr backend.