Post Cancellation Access Journal Collections to Improve Library Services

Post Cancellation Access (PCA) journal collections can improve library services. Other libraries can take better advantage of the PCA rights they negotiate and serve as better stewards of the rights they acquire. At the Electronic Resources Minnesota (ERMN) conference in 2022, we demonstrated how to create and maintain PCA collections using the Alma library management system. These collections are useful for several purposes and contribute directly to how we perform holdings analysis. In this Charleston 2023 presentation, we demonstrate both how to create these collections and how to use them to support core library functions, including collection development and even instruction. The presentation includes an overview on PCA collections, a how-to demonstration to create these collections, and a review of several applications. In addition to demonstrating PCA coverage as a holdings category, we show how we use subscription, aggregator, open access, and other holdings categories in reports

Post Cancellation Access Collections to Improve ER Troubleshooting and Collection Development

Post Cancellation Access Collections to Improve ER Troubleshooting and Collection Development At Minnesota State University, Mankato, we actively maintain and reconcile Post Cancellation Access (PCA) Collections in the Alma Library Management System (LMS). These collections enable us to distinguish permanent holdings from leased holdings, which would go away if we stopped subscribing. In consequence, (1) our troubleshooting burden is reduced, (2) we can judge the value of our subscriptions more accurately, and (3) we can pursue collection development projects and reporting more quickly, with deeper understanding. We will demonstrate our process to gather information from vendors and to set up PCA collections using locally developed best practices. We will show how we use our LMS to track and understand potential PCA rights in our licenses. We will talk about why it’s important to invest the time up-front, in order to optimize the benefits available from these processes, including vastly improved reporting options. We will exhibit some of the reports which utilize the PCA collections data. These reports enable us to pursue collection development strategically and extremely efficiently. They also enable powerful data visualizations to improve understanding across stakeholders

Journal Package and Subscription Analysis: Combining Data in New Ways to Standardize Collection Review

NOTE: In order to see the full presenter’s notes, you must download and open in Acrobat Reader. The presenter’s notes will be cut-off if the PDF is viewed in some browsers. We produce a variety of collection analysis reports which are used for several collection management functions, such as assessment, evaluation, and administration. We have now developed a Collection Review report which includes 100+ journal and package level data elements and dozens of data visualizations, built up from several hundred underlying lists from numerous data sources. Because we bring so many data elements together, we have also developed new metrics for journal package assessment. Some of these metrics could be shared across libraries to better understand package deals. We describe how we’ve used the Collection Review report for biennial collection review and provide examples of how the new metrics informed discussion and led to new questions. We also describe how elements from the Collection Review report and our standard subject-based collection analysis reports were then used to guide follow-up conversations with academic departments

How We Implemented Alma Licensing to Manage Electronic Resources More Effectively and Efficiently

At Minnesota State University, Mankato, we pursued a project to improve license management and to utilize the Alma Library Management System. We met as a team to develop a framework for codifying license terms and terminology and to develop plans to migrate licenses to Alma. The goals of the project included: (1) contractually required public display of terms, (2) comprehensive replacement of licenses on a five year cycle, as required by Minn State, and (3) uniform re-negotiation of license terms as university and system needs evolve. We will share: our tool developed to help guide library workers through the journal licensing process; our procedures for implementing licenses in Alma, which involved - defining license terms and terminology, - entering terms in Alma as a retrospective project, - linking licenses to purchase orders and e-inventory; a sample report we created enabling us to track licenses for the purpose of scheduling their replacement and to review license terms comprehensively; and reflection on additional factors across a diversity of resource types

The Collections PBI: Interactive Data Visualization for Campus Outreach

At Minnesota State University, Mankato, we have developed a new approach to collections outreach utilizing interactive data visualization in Microsoft Power BI. The new tool, which we call the Collections PBI, empowers us to demonstrate very clearly and vividly the library\u27s value to campus. The Collections PBI can be used for a variety of purposes, including collection development and collection evaluation, for program review and accreditation. We will demonstrate the Collections PBI and talk about how we are using it to support collections outreach and other library priorities. We\u27ll also discuss design and development issues so others can see how they might implement Power BI or otherwise deploy similar functionality

Automating Collection Analysis Data Visualization in Jupyter Notebook: What\u27s Possible and Why Would You Do It

NOTE: In order to see the full presenter’s notes, you must download and open in Acrobat Reader. The presenter’s notes will be cut-off if the PDF is viewed in some browsers. Data visualizations help librarians see through the clutter of collection analysis metrics, and can be very useful for outreach to academic partners. Automating the production of data visualizations in Jupyter Notebook from standardized data inputs enables us to produce more reports for more academic departments, which increases our impact

New Developments for Journal Package Analysis and Data Visualization

What metrics are most useful for comparing journal packages? What data visualizations enable the most insight into the value of these packages? How can libraries produce these kinds of reports, including data visualizations, as efficiently as possible? Over the last several years at Minnesota State University, Mankato, we have iteratively developed standardized reports for journal collection development, outreach, and academic program support. We previously presented an early version of our package-level analysis reports, where we focused on how to use Tableau for data visualization. Now, we will demonstrate new and improved reports, with new package-level and subject-level metrics leading to additional insights, and we’ll highlight why we prefer Python/ Jupyter Notebook for data visualization. We will also stress why it is important to develop package-level analysis and comparison capabilities beyond what can be provided by UnSub or the library management system. In addition to talking about the applications of these reports for collection development, we’ll discuss how these reports contribute to a new liaison outreach project. The goals of this new project are (1) to re-affirm the value of the journal packages, (2) to prioritize them for continuing investment, and (3) to garner testimonials. Alongside ‘elevator speech’ versions of our reports, these testimonials can be shared with our university administration in order to drive home the importance of an adequate budget to support the curriculum and student success

Towards radiological diagnosis of abdominal adhesions based on motion signatures derived from sequences of cine-MRI images.

This paper reports novel development and preliminary application of an image registration technique for diagnosis of abdominal adhesions imaged with cine-MRI (cMRI). Adhesions can severely compromise the movement and physiological function of the abdominal contents, and their presence is difficult to detect. The image registration approach presented here is designed to expose anomalies in movement of the abdominal organs, providing a movement signature that is indicative of underlying structural abnormalities. Validation of the technique was performed using structurally based in vitro and in silico models, supported with Receiver Operating Characteristic (ROC) methods. For the more challenging cases presented to the small cohort of 4 observers, the AUC (area under curve) improved from a mean value of 0.67 ± 0.02 (without image registration assistance) to a value of 0.87 ± 0.02 when image registration support was included. Also, in these cases, a reduction in time to diagnosis was observed, decreasing by between 20% and 50%. These results provided sufficient confidence to apply the image registration diagnostic protocol to sample magnetic resonance imaging data from healthy volunteers as well as a patient suffering from encapsulating peritoneal sclerosis (an extreme form of adhesions) where immobilization of the gut by cocooning of the small bowel is observed. The results as a whole support the hypothesis that movement analysis using image registration offers a possible method for detecting underlying structural anomalies and encourages further investigation