Skip to main content
Favorite
Add To List
Corey Harper

Corey Harper

Data Scientist and Sr. Technology Researcher, Elsevier
Corey Harper spent nearly 15 years building digital libraries, administering library systems, and managing library metadata at New York University and the University of Oregon. His current research interests include natural language processing, machine learning, predictive analytics, and data visualization with applications toward issues around research communications. In addition, he is involved in both the Digital Public Library of America (DPLA) and code4lib communities. Corey has an MBA from NYU's Stern School of Business and an MSLS from the University of North Carolina.

Matching Videos

1 Matching Videos
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?

We are NISO, the National Information Standards Organization. We’re the place where information professionals turn for industry standards that enable them to work together. Let us help keep you informed about what’s happening at NISO and in the wider information community by signing up for emails in your area(s) of interest.