Investing in Data Quality for High-Impact Entrepreneurship Research
Abstract
High-impact entrepreneurship research stands or falls with data quality. Yet research design and data collection choices often force researchers into trade-offs among relevance, validity, and replicability. Reliance on existing databases constrains the questions we can study, while primary data collection to address new questions often struggles to deliver high-quality, large, and representative samples. Increasingly, the most tangible contributions come from unique, high-quality data that answer novel, important questions. We present a 5I framework (Invest, Integrate, Innovate, Incentivize, Impact), offering guidance for authors, reviewers, and editors to navigate these trade-offs and build unique datasets that enable relevant, valid, and replicable research.
Fields of Study & Subjects
Entrepreneurship Studies and Influences
Participatory Visual Research Methods
Community Development and Social Impact
Publication details
- Journal / source
- Entrepreneurship Theory and Practice
- Publisher
- SAGE Publications
- Volume
- 50
- Issue
- 5
- Pages
- 1295–1321
- Publication date
- 6 April 2026
- Language
- EN