Data and information governance is an important activity for organizations seeking to leverage data as a strategic asset. Its goal is to maximize value while minimizing costs and risks. In this article, we present a conceptual framework for data and information governance that offers a holistic view, enriching existing academic and professional frameworks and models. Using bibliometric techniques, we analyze the existing literature to identify the key elements of data and information governance, including its intellectual structure, research themes, and the most influential articles that form its backbone. We compare the common and specific spheres of data governance and information governance. In a second step, we propose an enriched conceptual framework based on systems theory. This framework encompasses five key dimensions: purpose, structure, activities, environment, and outcome. It also allows for consideration of the interaction between these dimensions. To illustrate this conceptual framework, we describe how it was used to structure the questions in a barometer designed to assess the maturity of data and information governance in organizations.