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Publications

Research Report
March 3, 2021

Student Focused

Fostering Cross-Unit Collaboration to Meet the Changing Needs of Community College Students

Ensuring that community college students have access to academic and student support services requires more than simply understanding students’ needs—it also requires relating those needs to actionable service models and organizational strategies. Community college students navigate ecosystems of services provided and supported by academic affairs departments, student affairs departments, libraries, and faculty. How can these ecosystems best be organized and developed to adapt to changing student needs—particularly amidst the disruptions of the COVID-19 pandemic?…
Research Report
November 18, 2020

Research Data Services in US Higher Education

As data-driven research methods proliferate and become more sophisticated across disciplines, supporting researchers who work with data is increasingly a top priority for academic institutions. However, research data services—support offerings which enable and improve data research—are currently provided in an ad hoc manner by a variety of campus units, including libraries, academic departments and institutes, labs, and IT or research computing units. And the provision of research data services varies significantly from campus to campus. For data-driven research to thrive,…
Research Report
September 9, 2020

Supporting Research in Languages and Literature

Ithaka S+R’s Research Support Services program investigates how the research support needs of scholars vary by discipline. From 2018 to early 2020, Ithaka S+R examined the changing research methods and practices of language and literature scholars in the United States with the goal of identifying services to better support them. The goal of this report is to provide actionable findings for the organizations, institutions, and professionals who support the research processes of language and literature scholars.
Issue Brief
May 13, 2019

Data Communities

A New Model for Supporting STEM Data Sharing

As organizations and initiatives designed to promote STEM data sharing multiply – within, across, and outside academic institutions – there is a pressing need to decide strategically on the best ways to move forward. Central to this decision is the issue of scale. Is data sharing best assessed and supported on an international or national scale? By broad academic sector (engineering, biomedical)? By discipline? On a university-by-university basis? Or using another unit of analysis altogether? To the extent that there…