Exploring research activity over time
January 16, 2:00pm-2:30pm EST
Understanding academic unit composition
January 23, 2:00pm-2:30pm EST
Incorporating the school and college structure in analytics
February 6, 11:00am-11:30am EST
Rising Stars: Identifying and mentoring junior faculty
February 12, 11:00am-11:30am EST
Finding subject matter experts locally and nationally
November 28, 2:00pm-2:30pm EST
Use Research Insight to identify teams and funding opportunities
December 12, 2:00pm-2:30pm EST
Building an external platform to showcase scholarship
November 7, 2:00pm-2:30pm EST
Strategically growing your research enterprise with Academic Analytics
November 1 at 11:00am-12:00pm EDT
Awards Strategy: recommended honors and nominators
October 31, 2:00pm-2:30pm EDT
Awards Strategy: identifying highly research active and under recognized scholars
October, 17, 2:00pm-2:30pm EDT
Learn how Academic Analytics data can empirically identify departments and scholars that are highly research active but relatively “under recognized” – and develop a strategy to nominate these scholars for prestigious honorific awards.
Coupling Academic Analytics and NSF Higher Education Research and Development (HERD) survey databases to develop discipline-specific per capita research expenditure estimates
Presented by: Meaghann Wheelis, Senior Research and Planning Associate, Institutional Research and Testing, Baylor University and Kevin Chambliss, Graduate Program Director, Ecology, Earth, and Environmental Science, Baylor University.
Researchers at Baylor University developed a method to estimate total and per capita research expenditures based on Academic Analytics data (which does not report expenditures as part of its research grant data) in order to evaluate and strategically identify ways to improve discipline-specific research expenditures. Expenditure estimates are specific to each discipline, and this analysis allows users to facilitate comparisons to peer institutions (particularly those with stronger research profiles) whose per capita expenditure data are not publicly available. Additionally, this analysis provides a tool to assess current research activity and to identify areas that may need more faculty.
Data to Start the Conversation: Leveraging Metrics and Discovery Tools to Support the Research Agenda
Presented by George Walker, Senior Advisor, Academic Analytics
In this webinar, we will lead a discussion on using metrics and discovery tools to support an institution’s research agenda. This will include real-world examples where evidence-based strategies were implemented in the early stages of research and collaboration initiatives and the successes and challenges faced upon their implementation. We will also discuss Academic Analytics’ new Discovery Suite software tools which were specifically designed to aid in this type of strategic planning and “conversation starting.”
Data for the Humanities and Lettered Social Sciences: Metrics for all Disciplines
Hosted by Richard Wheeler, Senior Advisor, Academic Analytics, Professor of English Emeritus & Dean of the Graduate College Emeritus at the University of Illinois at Urbana-Champaign.
Data-driven analysis of scholarship should be available to all academic disciplines, and Academic Analytics strives to produce meaningful data tailored to each scholarly field. This webinar showcased several new features of our database and analytical toolkit that are especially valuable to humanities and lettered social science scholars where traditional citation and research grant metrics are not ideal. We demonstrated enhanced time-windows to expand the number of years data are tracked, deep and sophisticated book publications profiles and comparisons, and nuanced treatment of honorific awards from our massive proprietary database of honors.
Exploring Gender Inequalities Utilizing Scientometric Data
Recent bibliometric analyses have demonstrated pervasive gender disparities in terms of production and citation. However, these analyses have relied on two primary bibliometric databases, containing only publication and citation information. Academic Analytics provides a novel source of data, with richer disciplinary overview and more detailed individual-level information (e.g., funding, awards). We present here our initial analyses using Academic Analytics to explore gender disparities, discussing both the empirical findings and the technical challenges. We also provide a validation of Academic Analytics, using CVs and an alternative commercial bibliometric resource as comparative datasources.