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Description: Psychometric network analysis is an emerging tool to investigate the structure of psychological and psychopathological constructs. To date, most of the psychometric network literature has emphasized the measurement of constructs (e.g., dimensional structure); however, this represents only one aspect of psychometrics. In the present study, we explored whether network analysis could be used as a tool for scale development. To do so, we used a previously published dataset (N = 794) of four Openness to Experience inventories to clarify the facet structure of the construct and identify the conceptual coverage of each inventory. In short, 10 facets and 3 aspects (i.e., meso-facets) were identified but no single inventory adequately covered all facets or aspects. Therefore, we used network analysis, including two novel network measures (community closeness centrality and network coverage), to develop a short measure that comprehensively measured all facets and aspects of the construct. We then compared the network-derived short form to short forms that were developed using classical test theory (CTT) and item response theory (IRT). The network-derived short form demonstrated comparable reliability to the CTT- and IRT-based short forms but had better coverage of the conceptual space (defined by the four inventories). Finally, we validated the network-derived short form by comparing its correlations with outcome measures (personality and political conservatism) to that of the four-inventory item pool. We found that the network approach is a promising psychometric tool for scale development and we discuss its implications for future applications.