This document summarizes an action design research experiment that used network analysis and visualization of bibliographic data to provide actionable insights. The experiment aimed to explore how network analytics could create additional value from bibliographic data and uncover insights afforded by visualizing co-authorship networks. Currently, research information systems that store bibliographic data have limitations like manual interfaces, inability to export more than 1000 articles of data, and incomplete information. The experiment proposed developing a minimum viable product that would address these limitations through open data licensing of bibliographic data, REST APIs for data access and search, and support for network analysis and visualization tools.