Keywords
Collection Services, Big Data, Academic Libraries, Demand Driven Acquisitions, Assessment, Digital Collections, Discovery Services, Customer Focused, Library and Information Science
Summary
As part of the core library functions, collection services had always focused on resources and processes in the print age. With the advent of big data with prevailing digital technologies, academic libraries in the U.S., have increasingly brought customer into the center of collection services. Big data empower these customer-focused services in various formats and scopes. What are some common practices? How effective are they in addressing the customer needs while fulfilling the conventional goals of collection services? Primarily from the perspectives of academic libraries in the U.S., this article starts with a historical overview on the evolutions of collection activities; and then introduces the trends and practices of building collection services centering on customers empowered by big data. Sharing the experiences at one large American academic libraries system, the article presents several customer focused collection services ranging from demand driven acquisitions models, digital collections development, collection access and discovery enhancements and systematic collection assessments. It also discusses the multitudes of implications and impacts brought by these new customer-focused collection services in the age of big data on the library and information science (LIS) profession, in technologies, in philosophies, in personnel, in budgets and certainly in user experience.
Date Created
2016
Type
Article
Recommended Citation
Zhang, Ying, "Customer Focused Collection Services in the Age of Big Data" (2016). Libraries' Documents. 436.
https://stars.library.ucf.edu/lib-docs/436
