Educational research networks leverage shared goals and common infrastructure to overcome traditional barriers to medical education research, including small sample sizes, lack of generalizability, need for expertise in statistical analysis, and limitations on data sharing. The diversity of extant network models today is exciting and provides a set of common options and challenges that newly emerging networks can expect. These include decisions about network focus, organization of data, sampling strategies, funding, and governance. Common challenges include managing authorship, human subjects protection rules, data use agreements, and statistical disclosure control. Medical education research networks both advance the field and develop the researchers who participate in them. The authors repeat the call that they and others have made for the development of networks to promulgate best practices and coordinate multinetwork (multinational, multispecialty, and cross-curriculum) studies.