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The current sharing of medical data and its restrictive factors were surveyed by literature and question-naire investigation and analyzed with statistical analysis tools such as SPSS and Excel, which showed the influence of different restrictive factors on different populations. Certain measures were put forward for speeding up the sha-ring of scientific data, improving the medical treatment and academic level, strengthening the competitive power of hospitals and higher education institutions in Hunan Province.
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The effective management and utilization of massive data generated in scientific research have become one of the keys for sharing the scientific data. The USGS data life cycle model-based integration and management of data were thus described in this paper according to the tumor epidemiology data and relevant population data re-leased by the International Agency for Research on Cancer(IARC)in order to provide the specific cases and methods for scientific researchers to integrate and manage their data and for basic data and knowledge decision makers to work out the macro-policies. The USGS data life cycle model can be used in comparative analysis of different kinds of data,which has thus proved the efficiency of data life cycle model in data management.
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Objective To analyze the NIH data sharing repository in order to provide reference for the related stud-ies in biomedical data field and for the development of medical data sharing repository in China. Methods Ten typi-cal data sharing repositories ( such as UniProt, Protein Data Bank, and GenBank) were compared. Their data ac-cess methods, data management and sharing model, and service forms were summarized. Results The data manage-ment links and their process standards were designed according to their characteristics. Conclusion Data service tools can be designed, semi-artificial and semi-automatic data check can be carried out, detail meta-data can be collected, and citation rules confirming to the characteristics of data sharing repository can be established in our country by learning the experiences of NIH in developing its data sharing repository.
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Objective To provide reference for developing and perfecting the open resources of national-wide cancer genomics-related data by collecting, systematizing, organizing, sharing and applying the related data of the National Genome Atlas ( TCGA) Program. Methods The technical process, sharing and use of TCGA Program data were in-vestigated. Results TCGA established the whole linkage data management process by cooperating with multiple cen-ters, including tissue sample collection, processing, quality control, sequencing, characteristics analysis, data sharing and application of research achievements. The data were classified according to the related cancer, data types and their processing. The mutation, amplification and deficit of related cancer characteristic genes and the af-fected signaling pathways were studied according to the two sharing mechanisms underlying open access and con-trolled access to the collected data and individual data. Conclusion Studies on TCGA Program can provide experi-ences and reference in data management for the implementation of large scale TCGA Program.
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The paper summarizes features of the resources construction mode of the national scientific data sharing platform for popu -lation and health and analyzes main problems existing in the management , standardization and normalization of platform resources con-struction.On this basis, it proposes thinking and suggestion , and points out that a complete mechanism for resources assessment and ac-cess should be formed as soon as possible for the platform , the work progress of standardization should be promoted positively and the awareness of opening and sharing scientific data should be strengthened .
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Sharing medical data may reduce unnecessary repetitive studies and promote the cooperation between research groups.By analyzing the mature practices of some other countries,we proposed solutions to China's current problems in sharing medical research data,such as formulating sharing policies,strengthening platform construction and enhancing international cooperation.
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Since it is one of the hotspots to discover the new knowledge in life science in data-intensive scientific discovery by integrating the biomedical literature and scientific data that can provide an open environment for their interactive operation , the mining of foreign and domestic biomedical literature and integration of scientific data were analyzed , the corresponding systems for different integration methods were investigated , the development trend in biomedical literature and scientific data integration was predicted .
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Technologies for the trans-institutional sharing of scientific data were studied with the sharing of nucleic acid sequence data as the study object , such as leaving a flexible space for implementation of the unified standards in working out the criteria for data sharing , implementing regular point to point data sharing and updating in agree-ment of institutional league , and providing multiple data services according to the unified working process by giving considerations to the local demands .The significance of trans-institutional sharing of scientific data under the insti-tutional league model was summarized for the reference in constructing the scientific datasharing platform.
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After the concept of data curation and its application in foreign countries were described , the key points of data curation for data service in special libraries and related problems were analyzed according to the overall needs and changes of users in special libraries.
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The great changes taking place in the environment of academic library were analyzed from the aspects of networked information environment, knowledge-based user needs and homogenized library resources. The main up-date development characteristics of academic library were described according to the current development situation in foreign and domestic academic libraries as revealed in our investigation, such as e-only of library resources, knowledge-based and embedded information service, associated, semantic and integrated information organization, incorporation of primary information resources into institutional knowledge property management, digital library emerged in scientific data monitoring centers, SoLoMo as the concept for creating the next generation mobile library service. It was pointed out that academic library will become the user-oriented knowledge service center that provides user-driving knowledge service and intelligent knowledge service in an all-inclusive knowledge management manner. It is thus necessary for academic library to attach more importance on the information needs of scientific workers, to strengthen the user-oriented professional work layout, application of information technology, interlibrary coopera-tion and resources-sharing, and to improve the information literacy of librarians.
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In order to collect infection surveillance data from hospital to unfold scientific research, infection surveillance information platform based on B/S structure is designed adapting with the object - based technology. The general structures, the possibility of tech-nology realization, function installation and major process of finishing a mission are explained in detail in the paper. Using this platform could not only realize the data sharing between researchers and clinicians but also promote the prevention and control of infection in hospital.
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@#ObjectiveTo explore the application of matching in medical scientific data classification and coding and establish the multi-classific groups and manage the datas effectively.MethodsMedical science data subsection coding rules were designed using matching method.ResultsMain classification had five codes, which standed for three grades. Phylum (the first grade) was letter code, subphylum (the second and third grades) was number code, great class (the fourth and fifth grades) was number code. In the process of designing matching classification, given classification and coding system were used.ConclusionThe merging between traditional classification and matching method is very importment in the process of specializing classification to multi-factor matching, so as to merge and organize the data information.