4,633 research outputs found

    Data Standardization

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    As the international community has placed increasing emphasis on efforts to identify, classify, neutralize, or remove landmines or other unexploded ordnance (UXO), the need to communicate information concerning the location, description, and hazards associated with these munitions has become apparent. Numerous database structures have been created to store information about the various munitions. However, different organizations, countries, or individuals have adopted their own unique data definitions and database structures, and these differences could affect the kinds of information available through these sources

    Data Standardization. Selection of International Efforts.

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    This presentation shows a generic landscape about the international management of open data, focused especially in the Austrian experience

    Chapter 9: The need for big data standardization

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    SYSTEMATIC LITERATURE REVIEW: DATA STANDARDIZATION IN HEALTH INFORMATION SYSTEMS

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    Digitalization within the healthcare sector has resulted in the accumulation of vast amounts of data that can be utilized towards the improvement of health outcomes. Meaningful use of such data, however, requires that it is standardized. Standardization plays a key role in providing a universal language for data that is exchanged through different health systems. Through a systematic literature review, this paper identifies practices that are vital for an effective standardization process. Ontological development, governance and organizational practices are identified as pertinent to the process of standardization and are analyzed and explained through the lens of a multi-thread social activity model by Fomin et al. (2003). This model provides a comprehensive view of related aspects of design, sense-making, and negotiation. The analysis shows that all these aspects take place in all stages of the standardization process, and they are highly dependent on each other and can occur simultaneously

    Design and Implementation of Data Standardization Platform for Insurance Company

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    在日新月异的21世纪,互联网已经遍及世界的每个角落,信息化技术帮助企业快速有效地扩宽业务。保险行业在集团和子公司设立了推动交叉销售的一个集中、高效、规范的数据平台,在同一平台实现了不同平台各种业务系统的数据集中,将这些数据资源进行全系统内的共享。 目前使用中的交叉销售统一平台,需要整合集团各业务子公司的服务资源,将数据集中存储在集团总公司数据中心和子公司数据中心的统一数据库中,实现数据共享。由于子公司上报的数据不统一,集团要对这些数据做进一步处理。机构数据是共享数据中的一种,共享前需要通过系统的校验,然后才能下发给其他子公司。但是机构数据的校验是一个繁琐的过程,并且涉及到数据库的修改操作,这...In the ever-changing 21st century, the Internet has been extended to every corner of the world, and information technology has widened company’s business quickly and effectively. In insurance industry, a centralized, efficient, standardized data platform has been set up in groups and subsidiaries to promote cross-selling. Thus, a variety of different business system data in different platforms is ...学位:工程硕士院系专业:软件学院_工程硕士(软件工程)学号:X201223001

    To Standardize Enterprise Data or Not? An Economic Analysis of Flexibility versus Control

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    This paper addresses the tension between benefits of centralized data control against the benefits of decentralized control at the level of the business unit. Centralized data control provides the benefit of uniform standards whereas business unit data control grants flexibility to react to rapidly changing environments. Many data standardization efforts fail because they do not fully take into account the value of flexibility and ownership incentives. We use a real options based framework and the theory of incomplete contracts to derive propositions about the optimal level of data standardization across the enterprise. Applications of the propositions are illustrated with case vignettes. The paper makes two main contributions. First, the approach defines formally how incentive structures influence ownership of the option value or value of flexibility, which is an intangible information asset. Second the derived propositions would help senior management to more precisely consider aligning incentives in data standardization exercises
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