Over the past several decades, investigators, academic institutions, and funding agencies have been increasingly investing in cross-disciplinary team science initiatives with the aim of producing more comprehensive and innovative science that can effectively address important real-world problems [1,2]. Cross-disciplinary team science brings together investigators, community partners, and translational collaborators from multiple disciplines and fields to integrate concepts, theories, methods and approaches drawing from a breadth of expertise relevant to the scientific problem space [3]. This approach is a promising response to the increasing specialization and fragmentation of scholarship and the “data deluge” resulting from the rapid proliferation of scholarly knowledge across diverse fields [4].
