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1、 CONTENTS2CONTENTS3e-Science论坛 / Perspective 1 中国科学院科学数据库 资源整合与持续发展研究报告 The Report of the Research on Scientific Databases Resource Integration and Sustainable Development in Chinese Academy of Sciences检索记录数达数百万以上的化合物名称或文献数据库时，全文检索效率将变得很低。本文介绍了一种可实现数据库内容压缩的词语替换技术，有效地减小了全文索引的大小，并在一定程度上提高了全文检索的效率。For
2、the full-text searching in compound name or literature databases, the searching efficiency will become evidently low when the record number achieves millions. A simple word replacement technology is introduced in this work in order to compress the database content, thus reducing the full-text indexi
3、ng size effectively. This technique is also helpful to improve the efficiency of full-text searching.虚拟筛选利用计算机技术模拟药物筛选的过程，极大地提高了新药研发的效率，是新药研发的重要环节。虚拟筛选过程将产生大量复杂的中间数据，对这些数据的有效管理是下阶段新药研发的基础。本文介绍了一种药物虚拟筛选数据管理工具，对虚拟筛选过程产生的中间数据进行录入、分析、抽取、计算、持久化和展现，协助科研人员进行有效的科研决策。目前该工具已经在药物虚拟筛选中投入使用。Virtual screening is
4、an important method in drug discovery. Virtual screening models the process of drug screening by computer simulation technology, which will improve the efficiency of drug discovery. A large amount of complex data will be produced in virtual screening and the effective management of these data is the
5、 basis of next research in drug discovery. Described in this paper is a data management tool used in drug virtual screening. This tool fulfills entry, analysis, extraction, calculation, persistence and visualization of the data produced in virtual screening which assists experts and researchers to c
6、onduct more effective research decision. This data management tool is currently being used in drug virtual screening.数据主要来源于地理上分布的野外台站、空间观测、互联网服务机构的资源环境数据平台，是地学研究数据与模型模拟的基础，其数据采集、管理、融合与共享服务是野外台站观测数据平台的主要任务。基于数据来源分散和服务对象的分布特征，本文给出了基于网格环境中地理上分布的野外台站资源环境数据平台建设框架和数据汇总、管理、融合与服务的流程，定义和分析了各模块的关键功能与实现技术，并在L
7、inux环境下，模拟野外台站环境，对数据平台中数据复制、数据同步、统一服务的关键技术和思路进行了功能性实验，初步建立了网格环境下野外台站的资源环境数据平台。The Data Platform of Resource and Environmental Science is a foundation of data and model simulation for geography research. The data mainly comes from several field observation stations in distributed locations, spatial o
8、bservation and some data service sites on the Internet. The data collection, management, assimilation and the sharing service are the main tasks of the data platform. According to the distributed characteristics of the data sources the service objects and new technology of the grid environment, in t
9、his paper we discussed the foundation of the data platform of the field observation stations Resource and Environmental Science, 20 支持药物虚拟筛选的数据管理工具A Data Management Tool for Drug Virtual Screening e-Science应用 / Application 32 基于网格环境下的野外台站观测数据平台Data Platform of Field Observation Stations Base on Grid
10、 Environment 当代信息技术发展推动了数据的产生、收集、共享与分析，使得科学与工程研究日益成为数据密集型的工作，越来越有效的数据组织、共享和利用方法与模式为科学与工程研究带来新的机遇。未来的科学技术创新将越来越倚重于科学数据，以及通过数据挖掘、集成、分析与可视化工具将其转换为信息和知识的能力。科学数据的急剧增长及其有效的集成将对新科学方法的产生、科学研究能力的提高、研究成果向产品和服务的转化发挥重要的作用。(中国科学院科学数据库专家委员会) 8 国际科学数据库现状与发展趋势分析Review on Progress and Trend of International Scientif
11、ic Databases 科学工程研究与教育日益成为数字化、数据密集的工作，科学数据演变为支撑科技创新的战略资源。本文概述了当前国际上科学数据库的主要发展特征，分析了基于海量科学数据的典型应用途径，阐述了科学数据库共享服务的基本情况，总结分析了科学数据库通过数据密集型应用和数据按需集成等应用融入和支撑科研信息化发展的重要趋势。e-Science技术 / Technology 14 一种简单压缩技术在数据库中的应用Application of A Simple Compress Technique in DatabaseCONTENTS4CONTENTS5本研究利用科学数据库多年来积累的历史图件
12、和数据，并结合2005年耕层（0-20cm）500个采样数据为基础，选择典型黑土区双城市农田为研究区域，分析了22年来在简单介绍中科院科学数据资源质量状况和质量控制、评估和认证等国际研究和应用现状的基础上，文章详细介绍了针对科学数据资源的特点和质量控制需求而发展的科学数据质量框架体系和质量成熟度模型。质量框架体系为用户自主在框架体系下实现数据质量的控制、评估、改善和提高确定了方向和内容，具有高度的灵活适用性；而质量成熟度模型则为用户从数据生产、管理的角度提供了数据质量保证和评估方向。Based on the brief introduction of the present quality s
13、ituation on Scientific Data resources, and the research progress and its application of quality control and assessment at home and abroad, this paper proposes a Scientific Data Quality Framework and Data Quality Management Maturity Model. The Scientific Data Quality Framework helps user to realize d
14、ata control, data assessment, and quality improvement with their self- determination. Data Quality Management Maturity Model help users to improve data quality from the production and management flow. and the process frame of the data togather with the management, and analyzed the key functions and
15、implementing techniques for each module. Based on simulated the environment of the field observation stations in Linux operation system, we have conducted some functionality tests of the key techniques and pathways for data replication, data synchronization and a uniformed data service on the data p
16、latform, and used acquired techniques to build a primary Data Platform of the field observation stations Resource and Environmental Science under the grid environment.50 科学数据资源质量控制和评估研究Research on Quality Control and Quality Assessment for Scientific Data Resources58 黑土区县域耕地土壤氮素动态分析Dynamic Analysis of Soil Nitrogen Factors of Typical County Farmland in Blacksoil Region数据发现应用请求管理服务元数据发现服务元数据发现服务复制服务可视化服务数据服务通用的和 用户元数据目录档案数据在线数据辅助目录分析服务安全认证服务数据分析应用接口层中间件层服务器端发布42 行星科学数据系统（PD
