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Posts tagged with data analysis in Blog Tiny Studies

Showing 1 - 10 of 13 items
An image of a pipeline constructed of the numbers 0 and 1 going into the distance, with a bright light shining from the end of this virtual tunnel.
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  • Doreen R Bradley
  • Ken Varnum
Lessons Learned from a Close Analysis of EZproxy Log Files
Working with large-scale datasets to understand the effect of library resources on student success raises a number of concerns around individual privacy, data security, and analysis. This blog post, summarizing a recent article in College & Research Libraries, describes a recent grant-funded project at the University of Michigan, discusses the steps we took to address those concerns, and some of the lessons we learned.
A graph showing "percent of reservations kept" overlaid with an image of a COVID-19 coronavirus
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  • Kat King
Adapting Operations Data Collection in Response to COVID-19 (Part 2)
The interruption to library services caused by COVID-19 meant we needed to quickly develop new data collection strategies to give us information to manage our modified services for the 2020-2021 academic year. It also gave us an opportunity to conduct a deep reflection and assessment of how our regular collection had been going, and to be ready to make changes as we reinstituted more regular services. In two posts, we describe the evolution of our data collection efforts.
A graph showing "percent of reservations kept" overlaid with an image of a COVID-19 coronavirus
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  • Mark A Chaffee
Adapting Operations Data Collection in Response to COVID-19 (Part 1)
The interruption to library services caused by COVID-19 meant we needed to quickly develop new data collection strategies to give us information to manage our modified services for the 2020-2021 academic year. It also gave us an opportunity to conduct a deep reflection and assessment of how our regular collection had been going, and to be ready to make changes as we reinstituted more regular services. In two posts, we describe the evolution of our data collection efforts.
Image of a Google impact map, depicting content requests by world location.
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  • Charles Watkinson
What Happens When Ebooks Are Free-to-Read?
Between March 20 and August 31, 2020, the University of Michigan Press made all the titles in the Library-hosted ebook collection, UMP EBC, free-to-read. During this period, U-M Press staff gathered use data in the hope of assessing the impact of free-to-read content while informing the future business strategy. Three different assessment efforts are described in this post.
Image of 3 circles, representing a survey, a data store, and a library shelving area.
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  • Craig Smith
Approaches to Library Assessment Using Multiple Data Sources
This blog post presents how the use of multiple streams of data benefited two recent U-M Library studies. For example, one recent study merged survey data, U-M human resources data, and Library document delivery data to provide a very rich picture of how diverse groups on campus use and experience the Library’s document delivery service. Some advantages of joining multiple data sources in assessment projects are discussed in the context of the two example studies.
Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.
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  • Kat King
So, We’ve Got This Data… (Part 2)
Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In this second blog post, the author continues to highlight steps for working with data that is generated by your daily tasks.
Line image of questions to ask about data: what do we want to know, what could data show, who do we want to show, why do we want to know, and what does the data represent.
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  • Kat King
So, We’ve Got This Data… (Part 1)
Chances are the work processes you already have in place are generating data that you could be using to learn more about those processes. In two blog posts, the author shares some steps for working with data that is generated by your daily tasks.
Image of bar chart and magnifying glass
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  • Joe Zynda
Data Collection and Assessment in Human Resources
Assessment and research activities focused on the U-M Library faculty, staff, and student experiences are happening regularly, and often the Library Human Resources (LHR) team is contributing to these activities if not leading the research. This work can focus on quantitative data, qualitative data, or take a hybrid approach, and can involve surveys, interviews, and/or some general number-crunching. This post looks over some recent HR assessment projects.
Image of poster presented at the 2018 Library Assessment Conference.
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  • Laurie A Alexander
Using Analytics to Advance our Future Instruction Services
The 2018 Library Assessment Conference (https://libraryassessment.org/) brought together a community of practitioners and researchers who have responsibility or interest in the broad field of library assessment. This post recaps the conference poster content presented by Laurie Alexander and Doreen Bradley about how analytics advanced the Library's internal understanding of the course-integrated instruction provided by Library staff.
Person handing a book to another person
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  • Merrie Fuller
Increasing Access to Document Delivery Through Ongoing Data Analysis
Document Delivery provides traditional Interlibrary Loan Borrowing service, and scanning and delivery service for books and articles from material owned by the U-M Library. As a result of a successful pilot to provide free Local Document Delivery for faculty and graduate students, the department next sought to change the fee-based service for undergraduate students and staff. Departmental managers wondered: What would happen if we made scanning and delivery service free for these patron groups?