Collaborative Construction Industry Integrated Management Service System Framework Based on Big Data The collaborative multiprocess and multiservice integrated construction industry management service system framework based on big data proposed in this study, focuses on the big data intelligent decisionmaking service of construction industry based on integrated management, builds a big data intelligent decision service support platform for construction industry based on integrated management, develops multiprocess integrated management service function module of construction industry, innovates various service models. It develops modules of services covering the whole process of construction from four aspects of building collaborative design management, building supply chain management, building project collaborative management, and hardcover personalization. It also provides innovated, efficient, networked and personalized services for various roles in the construction industry, such as mobileoriented service for an engineer, design selection decision service for the designer, supply chain collaborative management service for the supplier and others.

Regional Cooperative Strategy of Social Public Service Under the Background of Cloud Computing and Big Data Environment Cloud computing and big data promote the development of serviceoriented society and drive regional information sharing, service and social interconnection with large scale and new mode, which provides technical support and reconstruction platform for the digitization of social public service, networked development and regional collaboration. Based on this background, this work started from three aspects: strategic environment, strategic framework and combat realization path, and constructed the regional cooperative strategy of social public service under the background of cloud computing and big data environment, aiming to promote the adoption of cloud computing, big data integration and public service value innovation of social public service organization.