Pain Points and Solutions: Bringing Data for Startups to Campus

Abstract

Entrepreneurship is growing as a cross- and inter-disciplinary area of focus for higher education. From patent and tech transfer offices to business, science, and engineering programs, the demand for entrepreneurship resources and support delivered via libraries is booming. Building library collections to help patrons design, launch, and run successful businesses is challenging: Market research and private equity/venture capital resources arrive at premium prices. Increasingly, these resources must interoperate with software used to clean, analyze, and visualize data. This data is often difficult to find and deploy. Restrictive, corporate-style licenses reflect that new vendors are not yet acclimated to the academic market’s access requirements and licensing constraints. This paper will share a framework for how to understand entrepreneurship in higher education and explain the types of information commonly requested by users. Such information often exists in disciplinary silos, emphasizing the importance of collaborative collection development across subject lines. The authors will explore the unique challenges to building collections that serve patrons developing new ventures. This includes collaborating with external stakeholders to fund resources that have not been traditionally purchased by libraries. Strategies for licensing data and other e-resources in this space will be discussed, including the central complications arising from universities as incubators for for-profit startups. The authors will suggest best practices for building relationships with stakeholders, developing relevant collections and services, and marketing these resources to support communities.