This two-guide set for evaluators and others interested in evaluation grew out of a National Science Foundation funded effort to improve cross project evaluations. Guide 1, Designing a Cross-Project Evaluation, focuses on evaluation design including identification and operationalization of program goals, building of logic models, and selection of indicators and appropriate measures for these indicators. Guide 2, Collecting and Using Data in Cross-Project Evaluation, lays out multiple issues involved in data collection, strengths and weaknesses of different data collection formats, and methods for ensuring data quality, confidentiality, and the protection of human subjects.