Data Collection and Management in Quantitative Research for Non-Profit Organizations

High-quality data collection and management are central to the validity of quantitative research, particularly for non-profit organizations tasked with demonstrating accountability, measuring program outcomes, and informing strategic decisions. This article examines principles and practices underpinning accurate and ethical data collection in non-profit settings, emphasizing low-resource environments. Key dimensions include defining research objectives, standardizing instruments, training data collectors, piloting tools, applying data cleaning and validation processes, and leveraging digital tools such as KoBoToolbox, REDCap, and ODK. Case examples from health, education, and humanitarian projects illustrate best practices for enhancing efficiency, accuracy, and security. Ethical safeguards—including informed consent, anonymization, and secure storage—are emphasized as foundational. Ultimately, robust data collection and management are strategic assets, enabling evidence-based decision-making, stronger advocacy, and greater long-term impact.