Developing A Comprehensive Regional Approach to Data Set Integration to Support Data-Intensive Research in Education in Silicon Valley This NSF funded project is a collaboration among multiple research centers: Silicon Valley Educational Research Center, Center for Educational Research in the Interest of Underserved Students, Center for Collaborative Research for an Equitable California, Center for Statistical Analysis in the Social Sciences, Institute for Storage Systems and Data Management, and the Data and Democracy Initiative of the Center for Information Technology Research in the Interest of Society. CCREC Fellow and Governance Council Member Rodney Ogawa is PI, and Co-PIs are Doug Bonett, Scott Brandt, Ron Glass, and Carlos Malzahn. This project will lay the social, intellectual, and technological groundwork to develop a comprehensive, regional data set to support data- intensive research in education in Silicon Valley, California. Despite unprecedented access to data and the use of sophisticated methods of data analysis, research has yet to offer detailed and comprehensive answers to the most fundamental educational questions which reflect the most pressing educational challenges confronting the nation, including: a) What are the multiple causal vectors that explain the academic achievement of youth in the U.S.? b) What are the multiple causal vectors that contribute to the achievement gap between low-income, racially, culturally, and linguistically diverse students and their more academically successful White and Asian peers?