Part One of Two, Analytics Behind The Scenes
Faced with a highly diverse combination of externally and internally collected data (web visits, gate counter, collection usage, subject analysis, budgets, space use, reference help interactions, etc.), academic libraries have rapidly mastered the value and use of analytics. Whether analyzing prospective subscription packages to determine their value for an institution’s research activities or reviewing usage data drawn from the local digital repository, libraries want to extract meaning from the increasing volume of library data. What does that data look like? How should that data be managed? And in what combinations is that data most enlightening?
Confirmed speakers include:
- Suzanna Conrad, Associate Dean for Digital Technologies & Resource Management, University Library, California State University, Sacramento
- Corey Harper, Data Scientist / Sr. Tech. Researcher, Elsevier Labs
- Steven Braun, Data Analytics and Visualization Specialist, Northeastern University Libraries
Part Two of this two-part webinar, Actionable Data Analysis, will be held on Wednesday, September 19, 2018.
Separating the Wheat from the Chaff; Developing a Scalable Strategy for Gathering and Reporting Analytics
Effective data analysis can support much decision-making in the library, however, it can be challenging to ensure that you’ve captured all the data you need. At the same time, it is possible to collect too much data that ultimately can overwhelm those tasked with analysis. This presentation will discuss how to create a strategy for gathering and reporting analytics in three parts: framing the questions that are important to answer, auditing all potential points where data is collected, and evaluating which data should ultimately be considered for analysis and visualization.
Analytics Beyond Usage Numbers: Applying analytics to metadata, content, and research
Data analysis in libraries is often focused on the usage of collections and services. The community has been putting increased effort into using data warehouses and visualization tools to track gate counts, circulation statistics, and budgets. These same data science and data visualization techniques are applicable to our metadata, content, and research information as well. This presentation will discuss metadata analytics with a focus on the shape, quality, and effectiveness of digital collections metadata. Additionally, drawing on the experience of doing technology research in a large scale information analytics business, the presentation will address applying these techniques to content itself, from bibliometrics, citation analysis, and citing sentences to natural language processing, knowledge extraction, knowledge graph engineering, and more.
Stewarding Analytics through Data Visualization in Library Settings
Regardless of one’s role or title, it seems that data are an increasingly common talking point for libraries everywhere. Whether connecting users to data available for consumption through subscription resources or analyzing in-house data about their own services, activities, and materials, libraries often encounter an important challenge: given how much data pass through the hands of library staff on a daily basis, how does one know what to do with them? Data visualization represents one such response to this question, but it must be employed appropriately and rigorously. In this webinar, attendees will obtain a basic understanding of data visualization and its role in library settings. How can libraries function as stewards of data, for users and internal administration alike? What is data visualization, and how can it help us in that stewardship? This presentation will address these questions, showing some examples of their use and suggesting resources for further learning.
Cancellations made by Wednesday, September 5, 2018 will receive a refund, less a $35 cancellation. After that date, there are no refunds.
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