One of the key goals of Cornell University Library (CUL) is to ensure preservation of the scholarly works being published by the Cornell faculty members and other researchers. VIVO is an open source and semantic technologies driven application that enables the preservation and open access of the scholarship across institutions. Driven by different needs, users look at VIVO implementation at Cornell from different viewpoints. The college requires the structure data for reporting needs. The library is interested in preservation of the scholarship data. University executives are interested in identifying the areas where they should invest in the forthcoming future. First, these viewpoints do not completely overlap with each. Second, current user interface represents the scholarship data in the list view format. Such representation of the scholarship data is not easy to use and consumable by the users. In this presentation, we present our ongoing work of integration of D3 visualizations into the VIVO pages. Such visualizations are constructed on the fly based on the underlying RDF data. A visualization-driven approach provides an efficient overview of the huge linked data network of interconnected resources. These visualizations are intuitive for the users to interact and offer the ability to visualize and navigate through the large linked data network. We discuss the performed (data) gap analysis as well as a few of the visualizations in detail and their integration into the VIVO framework.