The specific aspects of big data management practice for the Million Veteran Program (MVP) in USA were summarized by investigating it with network survey method and literature survey method, including large scale collection of data, structure of data management organizations, platform for data integration, privacy and security of data.The enlightenments of big data management practice for the MVP in USA on big data management of precision medicine in China were analyzed from 5 aspects.

The paper summarizes and shares the current key technology of OSGi including the hierarchical model, the extended func-tion, the realization framework and the technical features.It illustrates OSGi's special advantages in service-oriented development of the modern information application system by giving examples and combining the three typical application fields, namely medical and health service, scientific research platform construction and remote information processing.

The paper focuses on precision medical initiatives of China,the United States and Britain.It outlines their main aims and tasks,and compares the implementation,data management and sharing of initiatives.Some enlightenment is summarized to provide references for China to carry out national key research,and development program of precision medical research.

The relevance analysis methods for the association between environmental factors (air pollutants, fine particles, climate conditions, toxic materials) and diseases (lung cancer and asthma, etc) were studied by mining the open access scientific data in American environmental health field, which realized their practical application and can thus provide reference for studying the association between environments and diseases in our country.

Based on the social background of increasingly serious aging of the population and the growth of chronic diseases,the paper introduces the mode of Connected Health (cHealth),analyzes the differences between cHealth and Mobile Health (mHealth) as well as the advantages of cHealth,introduces the application of cHealth in contemporary society,and discusses the challenges of cHealth,including the optimization of sensing strategy,creation of data integration,analysis on the new mode,optimization of feedback strategy and development of new health insurance modes.

A model of classification techniques was established according to the sex and age by quantitative analy-sis of the risk factors for air popplution-induced respiratory diseases using the C4 .5 decision-making tree classifi-cation.The classification-based quantitative analysis was studied.The role of risk factors for respiratory diseases in 9 groups of people was assayed .This method can be used to analyze the risk factors for both respiratory diseases and other diseases in different populations, and can thus provide the evidence for their prevention and control.

Wearable technology, widely applied in health and medical field, has become an important part of in-telligent healthcare and medicare. However, the data security and privacy protection of wearable health and medi-cal devices are greatly concerned and need to be solved. The characteristics of data security and privacy protection of wearable health and medical devices were thus analyzed and compared with those of traditional health and medi-cal devices. The related studies and laws on domestic and foreign wearable health and medical devices were summa-rized, and the advances, experiences and problems in domestic and foreign wearable health and medical devices were analyzed and compared in order to provide reference for establishing the mechanisms underlying their data se-curity and privacy protection.

The index system of comparative advantages was constructed for the pharmaceutical manufacturing in-dustry in different provinces , municipalities directly under the Central Government , and autonomous regions ac-cording to the integrated comparative advantage theory .The integrated comparative advantages in different provinces , municipalities directly under the Central Government , and autonomous regions were scored by principal component analysis and qualitatively analyzed by clustering analysis to reveal their spatial distribution , thus providing the deci-sion-making support for the policy makers, manufacturers, investors and staff of pharmaceutical manufacturing in-dustry.

Purpose/Significance To meet the urgent needs of mass data analysis and application in the biomedical field and solve the problems such as the lack of standardized management of data analysis and utilization tools.Method/Process The paper comprehen-sively analyzes and summarizes the construction ideas,methods and technical realization of the tool standardization collection,manage-ment and shared utilization of ELIXIR's biomedical data tool service platform system.Some suggestions are put forward from the aspects of ecosystem construction,management norms,operation environment management,benchmark testing and verification,technology renewal strategy and community-driven innovation.Result/Conclusion The useful experience in the construction of ELIXIR's data tool service platform system is learned to provide comprehensive references for the standardized management of biomedical data analysis and utilization tools and service platform construction in China.