With the development of science, research on data analysis is becoming increasingly important. However, sometimes it is difficult to draw a conclusion from a complex data set. Data Visualization has been widely used for people to understand more about their datasets by representing the data in a way that visually highlights the relationships. As the size of data grows exponentially, keeping multiple local copies of the data becomes unrealistic for a collaborative research project. In this paper, we design and develop a cybertool, CT-IANP, which supports collaborative research in the area of atmospheric nucleation. The paper shows how Java 3D, Web-based tools, and other techniques are used to achieve the goal.