The Web Service Team in Miami University Libraries has conducted a series of user behavior and demographics data collecting. The scripts are generated in Google Analytics and crazyegg.com, and be embedded in the university library websites. This action is under the approval of Human Subject Research Department from the university; and no personal-identified data is recorded.

The intention of collecting user data is simple: the website developers want to have better understanding of our users, in a more objective way; and to adjust the elements in presenting a more attractive, convenient, and human-friendly website. User Experience (UX) is the professional and concise term to express such process.

In this research, a large range of user behavior data have been collected, such as user stickiness, user activities, user events, page traffic, events flow, just name a few. Through the dataset, the developers were able to tell the preferences and trends from users, and to make adjustments. For example, we have noticed an increasing view on the Special Collections webpage during an event of that department. To provide faster access, we chose the top five items and placed them on the library website homepage, which lead to a faster growth of page views on Special Collections. Such decisions rely on large data collections and dataset analyzations, and result to better user experiences.

An other benefit of applying data analyzation mechanism on library UX development is that, realizing the trend in our user and adapt with the trend. For instance, our data shown there is an increasing raise of mobile and tablet usage among the users in the recent 12 month. Then we have realized the responsive design of the website needs adjustments to fit on that special needs. Not only the size and resolutions have been adjusted, but the layouts and functions have been optimized: for instance, we put more functions on the bottom 1/3 of the screen in mobile resolutions because of the different using habits between mobile and desktop users. Rely on data analyzation, we website developers could accurately tell what the users need, and how they approached to their goals. It is a benefit of online services and a new trend in the library field.

This poster describes a project to automate portions of JMU Libraries’ workflow for distributing Special Collections finding aids to various discovery platforms. Through the development of a custom Python app called Spaceport, we were able to greatly improve the efficiency and sustainability of this process while also providing a more consistent discovery experience for our patrons. The project also had broad impacts in other areas. Our incremental and collaborative approach provided space for professional development related to the project, supported evolving project goals and the process of adapting to the new workflow, and strengthened relationships between departments. In addition to describing these and other benefits, this poster includes an overview of the Spaceport app’s functionality along with recommended learning resources for technologies used in the project, including XSLTs, Python scripting, and APIs.

In 2019, the University of Arkansas at Little Rock Ottenheimer Library began a space study to help maximize the use of the library spaces. The primary goal of the study included understanding students’ perceptions and use of the library while identifying and standardizing measures for continuous improvements. One measure identified was collection space performance. Collection space performance indicators outline how the physical and virtual collections in the applied sciences and formal sciences verses. humanities, natural sciences, and social sciences relate to student achievement and the amount of collection space given to those areas. The results of the collection space performance are then compared to seating capacity and the amount of space given to inactive and active collection space and library user spaces. The poster will demonstrate how collection space performance based on student academic achievement along with other metrics can provide data-driven collection development decisions in order maximize the use of library spaces.

Nearly every college student is assigned to and familiar with how to communicate with their academic advisor; unfortunately, the same cannot be said for most students and their liaison librarian. Though librarians and academic advisors typically perform markedly different duties, both connect students with valuable information and act as mentors and guides. How can librarians build on the commonalities we have with our advising colleagues in order to better connect with students? How might librarians and advisors mutually support one another?

This poster details an academic librarian’s work to forge connections with campus academic advisors in an effort to improve advisor awareness of library services and the role of librarians, focusing specifically on the development of an online training module for advisors about the library. This poster also describes successful and potential librarian-advisor collaborations, including a workshop series targeting undecided students and librarian involvement in the campus organization for advising staff.

While many libraries develop a strategic plan and define Mission, Vision, and Values at the administrative level, how do you accomplish this at a smaller, departmental level? Join us as we define and differentiate between Mission, Vision, and Values, and examine how the process of developing each of these statements benefits high-performing teams. This poster will outline a project to create defining statements for a Public Services unit consisting of Research and Instructional Services and Access Services, at a doctoral-granting institution with higher research activity. Presenters will provide practice-based information that can be used to lead your team through the highly collaborative process of creating your unique Mission, Vision, and Values. We will discuss strategies for honoring the already existing core values of your larger organization, approaches for creating space for all team members to participate, and techniques for honoring diverse learning styles and communication preferences. The process and final products of developing these defining statements can help us understand our purpose, the beliefs that guide our professional behaviors, and how we envision our futures.

In this day and age, academic instruction is increasingly moving online. Many college courses have some degree of online engagement through LMS systems and as such students expect learning material to be deliverable through online venues.

As a liaison librarian, it is not uncommon for questions to be fielded about how to access and/or how to provide access to materials such as books, articles, library tutorials, and reference assistance online and through university LMS systems. Issues that often involve collaboration between library departments, technical support and the university community of faculty and students.

This poster aims to look at some of the challenges that are faced in this endeavor, including issues of equity and accessibility as well as some of the methods that can be used to address those challenges.

Python is a programming language with a wide range of functionality including web searching, web scraping, data processing, and data visualization. It is becoming increasingly popular for automation and batch processing within technical services departments.

While it may not be easy to learn Python programming and write Python code, it is not necessarily difficult to execute a code itself.

Introducing Google Colab. Google Colab is a cloud-based software and is a newer addition to the Google Drive products. With the tool, you can write and execute Python programs in your browser without installing Python. What’s more, just like Google Docs or Sheets, Google Colab can be shared with others.

Here at Yale University Library Technical Services, I wrote some Python programs using Google Colab such as a backlog lookup, a link checker, and a MARC record generator for non-programmer cataloging staff. Without training, they can easily execute these programs on their computers. In this presentation, I will demonstrate how Google Colab works and explain how it made automation and batch processing much more approachable and accessible to non-programmer staff, resulting in increased productivity and collaboration.

“Prior to July 2019, the Kennesaw State University Library was considered both a college and a department within the institution, which created ambiguity when the library interacted with faculty and the institution. Following the reclassification of Kennesaw State University as an R2 institution and a system-wide comprehensive administrative review to streamline efficiencies, the library reorganized to better reflect the structure in traditional academic units, as a college with two departments. This reorganization led to the creation of two Department Chair positions, which resulted in four interim leadership positions occurring in the institution simultaneously: two interim department chairs, an Interim Director of Technical Services, and an Interim Director of Collection Development.

This presentation will discuss the experiences of the Interim Director of Technical Services and the Interim Department Chair of Library Resources. Serving as interim in this period of change required the ability to lead library faculty and staff through a massive reorganization while learning new roles and gaining expanded leadership skills. These new roles necessitated change management skills, strategic planning, and workflow assessment. A key component of the success of this process was collaboration.

In this session, participants will learn about how to deal with an atmosphere of constant change at all levels, the importance of a willingness to adapt and be flexible, and how to handle ambiguity with workflows and job responsibilities.