Scientific claims should be subject to scrutiny by other researchers and the public at large. An important requirement for such scrutiny is that researchers make their claims transparent in a way that other researchers are able to use easily available resources to form a complete understanding of the methods that were used by the original. In the social sciences, especially given the personal computing and Internet revolutions and the wide availability of data and processing power, it is essential that data, code, and analyses be transparent. This manual is intended to be a source mainly for empirical social science researchers who desire to make their own research transparent to, and reproducible by, others. The entire process of research, from hypothesis generation to publication, is covered. Although norms differ across disciplines, we attempt to bring a broad view of the empirical social sciences to these recommendations, and hope that students and researchers in any social science field may tailor these recommendations to best fit their field.