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关键词： Data quality   Data warehouse   Chance-constrained programming   Optimization model   Artificial bee Colony algorithm   MODEL   MANAGEMENT   ALGORITHM   OPERATIONS   INVENTORY   SELECTION   IMPACT   WORLD  

摘要： To make informed decisions, managers establish data warehouses that integrate multiple data sources. However, the outcomes of the data warehouse-based decisions are not always satisfactory due to low data quality. Although many studies focused on data quality management, little effort has been made to explore effective data quality control strategies for the data warehouse. In this study, we propose a chance-constrained programming model that determines the optimal strategy for allocating the control resources to mitigate the data quality problems of the data warehouse. We develop a modified Artificial Bee Colony algorithm to solve the model. Our work contributes to the literature on evaluation of data quality problem propagation in data integration process and data quality control on the data sources that make up the data warehouse. We use a data warehouse in the healthcare organization to illustrate the model and the effectiveness of the algorithm.

关键词： Multi-site data repository   Data locator service   Bi-directional replication   Postgres BDR   ITER REC   LHD   SNET  

摘要： The Remote Experimentation Centre (REC) in Japan has been preparing to replicate the full dataset of ITER over 10 000 km distance. In such a multi-site data repository environment, the data location informing service will be essential to find and retrieve the data efficiently. Considering the long latency time and the self sustainability of remote sites, the data location database should be running at each repository site. Multi-master asynchronous replication between cooperating databases will be essential to realize the remote experimental collaborations in fusion research. This study has investigated the functional differences of some relational databases and found that Postgres BDR has the expected database replication capabilities. Bi-directional replication (BDR) tests by using the LHD database and SNET revealed that the throughputs are sufficient for remote collaborations in fusion experiments.

关键词： MODERATE AMBLYOPIA   RANDOMIZED-TRIAL   CHILDREN  

摘要： Atropine and patching are standard treatments for amblyopia, but the prevalence of atropine therapy in the United States is unknown. This study used the OptumLabs Data Warehouse to evaluate pharmacy claims for topical atropine to evaluate the frequency of its treatment for amblyopia and to compare demographic factors in cohorts of amblyopic children who were and were not prescribed atropine. Overall, 55.2% of amblyopic children were prescribed atropine more than once. The children who were prescribed atropine had a higher likelihood of living in geographic regions in the South or Midwest.

关键词： 大数据技术   分布式存储   分布式计算   共租部署   数据仓库  

摘要： 【目的】解决海量篇级文献的存储与在线访问、大规模数据治理和服务性能低的问题,建设科技文献大数据平台。【方法】以分布式技术为基础,分析科技大数据特点及服务导向,结合服务器、网络等硬件资源条件,采用共租部署策略,设计了"5+2"整体架构的科技文献大数据平台。【结果】建成PB级科技文献大数据平台,数据存储量达到200TB,文献实体量达3.2亿条,实体关系量达60亿条,基于MapReduce的元数据处理性能提高3倍,形成了基于微服务的知识服务架构。【局限】该平台未设计完整的流式处理流程,不能满足增量数据即时响应的需求。【结论】本文建设的科技文献大数据平台已支撑中国科学院文献情报中心知识发现平台、慧科研等产品体系,取得较好的线上服务效果,提升了对科技文献数据的处理计算与服务能力。

关键词： 战时无人配送   数据集成系统   数据仓库  

摘要： 为推进军事配送智能化、无人化发展进程,实现战时无人配送数据的有效管理,针对战时无人配送数据体系结构复杂、数据来源多样的实际特点,以云存储集成框架为核心,利用数据仓库技术进行数据处理与分析,设计战时无人配送数据集成系统,为数据集成与数据应用提供技术支撑。

关键词： Data warehouse   Requirements elicitation   Pivot tables   Multidimensional modeling   CONCEPTUAL-MODEL  

摘要： The design of data warehouses (DWs) is based on both their data sources and users' requirements. The more closely the DW multidimensional schema reflects the stakeholders' needs, the more effectively they will make use of the DW content for their OLAP analyses. Thus, considerable attention has been given in the literature to DW requirements analysis, including requirements elicitation, specification and validation. Unfortunately, traditional approaches are based on complex formalisms that cannot be used with decision makers who have no previous experience with DWs and OLAP. This forces a sharp separation between elicitation and specification. To cope with this problem, we propose a new requirements analysis process where pivot tables, a well-known representation for multidimensional data often used by decision makers, are enhanced to be used both for elicitation and as a specification formalism. A pivot table is a two-dimensional spreadsheet that supports the analyses of multidimensional data by nesting several dimensions on the x- or y-axis and displaying data on multiple pages. The requirements analysis process we propose is iterative and relies on both unstructured and structured interviews; particular attention is given to enable the design of irregular multidimensional schemata, which are often present in real-world DWs but can hardly be understood by unskilled users. Finally, we validate our proposal using a real case study in the biodiversity domain.

关键词： Research data management   Data repositories   Data migration  

摘要： The transfer of research data management from one institution to another infrastructural partner is all but trivial, but can be required, for instance, when an institution faces reorganization or closure. In a case study, we describe the migration of all research data, identify the challenges we encountered, and discuss how we addressed them. It shows that the moving of research data management to another institution is a feasible, but potentially costly enterprise. Being able to demonstrate the feasibility of research data migration supports the stance of data archives that users can expect high levels of trust and reliability when it comes to data safety and sustainability.

关键词： Digital library   Digital humanity   Metadata   Copyright   Technical infrastructure  

摘要： Digital Humanities projects have shown to be projects of collaboration and interdisciplinary cooperation. As digital humanities researchers are creating and discovering new methods of collaboration, libraries have been reflecting on how they can best support and nurture such collaborations. This paper aims to demonstrate a practical case of what the University of South Florida Digital Collections has done to support the accessibility and discoverability of a new archaeological dataset in collaboration with a Digital Humanities research facility on *** paper is a case study to showcase the process employed by the University of South Florida Libraries in its partnership with an on campus digital humanities institute in the creation of a new digital *** partnership resulted in a prototype archaeological data repository named the Andean Archaeological Data Project, and a digital collection that was successfully housed in the existing digital library platform, through which public access to the material is natively enabled through the library web pages. The authors have come to the conclusion that with the proper infrastructure and the appropriate skill sets, a digital library can be a long-term platform for dynamic digital humanities research data.

关键词： 城市轨道交通   大数据   数据仓库   架构  

摘要： 城市轨道交通系统是城市信息化程度较高的一部分,随着规模化和网络化发展,因其自身数据富集的优势,使得以数据为驱动的交通管控技术被广泛应用。建立科学、智能、可扩展的大数据平台,是城市轨道交通大数据资产有效管理和利用的重要保障。从城市轨道交通数据全生命周期特点和线网指挥中心业务需求出发,以南京地铁为例,探讨城市轨道交通大数据平台架构,重点分析存在的难点及应对策略。从数据采集、数据治理、数据仓库的物理架构设计和逻辑架构设计、应用系统支持、数据安全等几个方面,给出大数据平台的架构方案。

关键词： 数据仓库技术   医院信息管理   信息系统  

摘要： 数据仓库是一种数据管理技术,能够将相互独立的系统中的数据,以特定的主题进行重新组织和存储,并在同一个平台上展现出来,进行分析处理和深层次的挖掘。该文以数据仓库的概述为切入点,探索医院应用数据仓库技术能够实现的功能,提出医院信息管理中,数据仓库技术的具体应用方法,旨在充分发挥病案数据的作用,做好医院信息管理工作。