The Impact of Business Expertise on Information System Data and Analytics Resilience (ISDAR) for Disaster Recovery and Business Continuity: An Exploratory Study

Disaster recovery (DR) and business continuity (BC) have been important areas of inquiry for both business managers and academicians. It is now widely believed that for achieving sustainable business continuity, a firm must be able to recover from both man-made and natural disasters. This is especially true for maintaining and recovering the lifeline of the organization and its data. Although the literature has discussed the importance of disaster recovery and business continuity, there is not much known about how Information System Data Analytics Resilience (ISDAR) and the organization’s ability to recover from lost information. In this research, we take a step in this direction and analyze the relationship of IS personnel expertise on ISDAR and investigate Information System (IS) personnel understanding of the firm’s competitive priorities, IS Personnel understanding of business policies and objectives, IS personnel’s ability to solve business problems, IS personnel initiatives in changing business processes and their determination and attentiveness to focus on achieving confident leadership in data and analytics resilience. We collected data through a survey of IS and business managers from 302 participants. Our results show that there is evidence to support our hypothesis and that there may indeed be a relationship between these variables.

Robust Disaster Recovery System Model

Highly security-critical system should possess features of continuous service. We present a new Robust Disaster Recovery System Model （RDRSM）. Through strengthening the ability of safe communications, RDRSM guarantees the secure and reliable command on disaster recovery. Its self-supervision capability can monitor the integrality and security of disaster recovery system itself. By 2D and 3D rea-time visible platform provided by GIS, GPS and RS, the model makes the using, management and maintenance of disaster recovery system easier. RDRSM possesses predominant features of security, robustness and controllability. And it can be applied to highly security-critical environments such as E-government and bank. Conducted by RDRSM, an important E-government disaster recovery system has been constructed successfully. The feasibility of this model is verified by practice. We especially emphasize the significance of some components of the model, such as risk assessment, disaster recovery planning, system supervision and robust communication support.

Research and Practice on Security Protection and Disaster Recovery Strategy of Oracle Database in Colleges and Universities

Database security protection, database backup and disaster recovery are important tasks for all colleges and universities to ensure the safe and stable operation of information systems. Based on the operating environment of the Oracle production database in China University of Geosciences (Beijing), combined with the practical operation and maintenance experience, this paper provides a design and implementation case of Oracle database security protection system and disaster recovery architecture. The network security protection architecture of the three-layer firewall and fortress machine, the detection and repair of security vulnerabilities, the management of system accounts and permissions, data encryption and database audit constitute the security protection system of the database. Oracle RAC (Real Application Clusters), Oracle DataGuard, redundant backup management and backup recovery constitute the disaster recovery architecture of the database. The case has practical significance for database operation and maintenance management in other colleges and universities.

Utilization of Open Source Spatial Data for Landslide Susceptibility Mapping at Chittagong District of Bangladesh—An Appraisal for Disaster Risk Reduction and Mitigation Approach

Since creation of spatial data is a costly and time consuming process, researchers, in this domain, in most of the cases rely on open source spatial attributes for their specific purpose. Likewise, the present research aims at mapping landslide susceptibility at the metropolitan area of Chittagong district of Bangladesh utilizing obtainable open source spatial data from various web portals. In this regard, we targeted a study region where rainfall induced landslides reportedly causes causalities as well as property damage each year. In this study, however, we employed multi-criteria evaluation (MCE) technique i.e., heuristic, a knowledge driven approach based on expert opinions from various discipline for landslide susceptibility mapping combining nine causative factors—geomorphology, geology, land use/land cover (LULC), slope, aspect, plan curvature, drainage distance, relative relief and vegetation in geographic information system (GIS) environment. The final susceptibility map was devised into five hazard classes viz., very low, low, moderate, high, and very high, representing 22 km2 (13%), 90 km2 (53%);24 km2 (15%);22 km2 (13%) and 10 km2 (6%) areas respectively. This particular study might be beneficial to the local authorities and other stake-holders, concerned in disaster risk reduction and mitigation activities. Moreover this study can also be advantageous for risk sensitive land use planning in the study area.

Integration system research and development for three-dimensional laser scanning information visualization in goaf

An integration processing system of three-dimensional laser scanning information visualization in goaf was developed. It is provided with multiple functions, such as laser scanning information management for goaf, cloud data de-noising optimization, construction, display and operation of three-dimensional model, model editing, profile generation, calculation of goaf volume and roof area, Boolean calculation among models and interaction with the third party soft ware. Concerning this system with a concise interface, plentiful data input/output interfaces, it is featured with high integration, simple and convenient operations of applications. According to practice, in addition to being well-adapted, this system is favorably reliable and stable.

基于Oracle Data Guard构建医院信息系统的容灾备份方案

目的:为解决医院信息系统异地容灾备份问题,提出方案。方法:通过Oracle Data Guard,采用最大性能模式,构建容灾备份系统。结果:实践表明,创建的物理备用数据库能满足系统设计要求。结论:通过对比常用的容灾备份方案,表明采用Oracle Data Guard技术实现数据备份在资金、性能上的优越性。

基于Oracle Data Guard的容灾策略设计与实现

本文阐述了Oracle中DataGuard技术,讨论了如何利用DataGuard技术来实现数据容灾备份,并给出了详细的实现方法。

Oracle Data Guard容灾技术的研究与实现

为了解决数据丢失或损毁,经过对容灾技术的研究,提出基于Oracle Data Guard容灾技术的解决方案,介绍Data Guard容灾技术的工作原理和相关特性,并实现物理备份数据库的构建和角色切换。结果表明,该方案能有效地解决Oracle数据库的数据丢失或损毁问题,为数据的保护提供更有效的保障。

ORACLE DataGuard容灾监控方案探讨

通信行业关键业务的数据多使用ORACLE Data Guard建立容灾,但企业容灾建立之后,容灾系统的运行状态监控处于失控状态,本文对容灾实现及容灾的监控行了分析、探讨,给出建议。

Oracle Standby Database技术的原理及实现

详尽的介绍了OracleStandbyDatabase技术的原理,并结合生产实践中的经验对OracleStandbyDatabase的实现过程进行了详细描述,为制定Oracle数据库的备份和容灾方案提供了宝贵的实践经验。

Oracle Data Guard在图书馆的应用

汇文文献信息服务系统是图书馆工作的命脉,其数据的安全性至关重要,Oracle Data Guard为此提供了最佳的数据保护和数据可用性解决方案。通过在汇文文献信息服务系统中建立Oracle Data guard环境的方法,对主数据库进行容灾备份,能够有效保障数据的安全性和可用性。

基于Oracle Data Guard的数据库容灾方案的设计

近年来数据库容灾技术是大型企事业单位、金融行业面临的一个重要技术问题。对于重要部门的核心业务而言,严重的硬件故障或其他灾难性故障都是不可接受的。文章从Oracle数据库容灾技术提供数据保护的角度出发,探索Oracle数据库的容灾机制,最后通过相应的实例来阐述容灾方案的设计与实现。

中国石油地球物理数据共享与数字化转型设想

地球物理数据是油气田公司的核心数据资产,是可持续挖掘的宝贵数据资源。中国石油天然气集团有限公司在几十年的油气勘探开发过程中,获取了海量地球物理数据。大数据时代数据为王,为了更好地保护地球物理数据资产,挖掘数据潜力,提高数据价值,盘活数据资产,中国石油成立了地球物理数据与软件共享中心,对地球物理数据集中统一实施异地备份和资产化共享管理,为海量数据超级计算奠定基础,促进地球物理数据共享使用,解决协同研究工作中的数据孤岛问题,助推地球物理业务实现数字化转型,更好地支撑服务油田公司上游业务发展。

医院档案信息化建设中的信息安全管理现状及对策

信息安全在现代社会得到普遍关注,医院工作中产生的信息多样,其中相当一部分信息具有较高价值,需要重视其安全管理、保护。本文以医院档案信息化建设中的信息安全管理现状为切入点,在此基础上分析其安全管理问题和应对策略,包括强调容灾管理、明确管理权责、强调管理技术更新、完善管理框架,旨在服务未来医院档案信息化建设工作,为其综合管理提供更多支持。

基于文本数据的灾害信息风险监测与预警集成方法研究

基于灾害信息的文本数据,该文提出一种风险监测与预警集成方法,以提高灾害信息风险监测效率及监测支持预警的针对性。首先,运用八爪鱼数据采集器采集和处理灾害信息的文本数据;其次,运用BTM主题模型构建灾害信息风险监测模型,得到主题热度趋势并确定具有高风险且亟待预警的话题;然后,提出灾害信息风险预警指标体系和预警等级判定方法,计算所确定话题的风险综合指标预警加权值,并结合预警区间判定预警等级;最后,以2021年“7·20”郑州特大暴雨灾害信息的风险监测和预警为例进行实验分析,验证所提方法的可行性。研究表明,该方法可将灾害信息的文本数据贯穿于风险监测与预警两个过程,有助于为监测结果更有针对性地支持预警工作提供参考。

跨境数据流动限制对自然灾害经济损失的影响

进入数字化时代,跨境数据交互共享已成为自然灾害治理的核心影响因素。利用2004—2019年世界主要经济体的跨境数据流动限制数据和自然灾害损失数据进行实证分析,结果表明跨境数据流动限制程度与自然灾害经济损失之间存在显著正相关性。进一步研究表明,跨境数据流动限制是通过阻碍信息技术交流共享这一机制来影响自然灾害经济损失的。此外,跨境数据流动限制对自然灾害经济损失的影响存在一定异质性,在灾害类型层面,气象灾害与地球物理灾害中的经济损失受跨境数据流动限制的影响更为显著且强烈;在经济体类型层面,相较于发展中经济体,发达经济体中跨境数据流动限制对自然灾害损失的影响更小。研究结果拓展了跨境数据流动理论在灾害经济领域的运用,为各国在自然灾害防治领域建立更加开放和高效的信息共享机制提供一个参考。

黑龙江省洪涝灾害应急管理研究与优化路径

在全球气候变暖背景下,黑龙江省所面临的极端自然灾害趋强趋重趋频,也呈现出风险隐患日益突出、应急管理基础薄弱、防控难度不断加大等特点。本文围绕黑龙江省“8·3”特大暴雨灾害的应急管理展开研究,运用具体案例的实证分析的方法,对此次特大暴雨的灾情概况进行了汇总,并从应急管理的全过程出发,对此次灾害进行了问题剖析。通过分析,明确指出了当前黑龙江省存在着城市韧性不足、灾害应急准备欠佳、城市应急响应效率低下和灾后恢复措施不足等问题,提出了在自然灾害情况下完善基础设施、提升预警能力、加大数字技术应用和灾后重建等方面的优化路径。

云平台灾备体系建设规划研究

《药品监管网络安全与信息化建设“十四五”规划》(国药监综[2022]23号)提出,“十四五”期间要“筑牢药品智慧监管数字底座”,将药监云定义为“药品智慧监管数字底座”,要求从药品监管工作实际需要出发,在现有信息化建设成果的基础上,通过“新基建”赋能监管业务创新发展,优化完善药品监管信息化标准体系,推动云技术深度应用,提升药监云平台支撑能力和服务能力,实现业务系统的全面云化部署,筑牢“物联、数联、智联”药品智慧监管数字底座,促进药品监管数字化转型升级。本研究针对药监云灾备系统建设,从药监云实际建设情况出发,从数据级和应用级两个层面对药监云灾备建设情况进行梳理,并根据灾备系统存在的问题以及提升业务系统数据安全性的实际需要,对药监局今后的灾备系统进行建设规划,提出有序分阶段推进,为业务系统提供数据级恢复能力,保证业务系统的数据安全和业务连续性,提高药监云系统的灾备能力。

基于CiteSpace的中国地震灾情研究热点及前沿演进

使用科学计量学软件CiteSpace,以中国知网(CNKI)收录的地震灾情研究领域近20年(2003—2022年)的文献资料为数据来源,对地震灾情研究的总体分布、研究热点及前沿演进轨迹进行研究。结果显示,近20年来关于地震灾情研究的文献数量不多,且与地震事件密切相关,研究机构主要以承担地震工作的职能部门为主,主要研究热点集中在灾情数据获取和灾情信息提取。经分析,地震灾情研究的演进轨迹可划分为起步阶段、发展阶段和深化阶段,目前的研究热点方向主要为灾情数据的获取,处于地震灾情研究的初级阶段,是奠定坚实基础的重要阶段。未来,我国地震灾情研究要加强学科融合,注重拓展灾情信息提取、灾情上报与发布等研究方向,结合主流技术实现地震灾情的智能化、动态化、三维化。

基于社交媒体数据的城市内涝主题挖掘综述

随着全球气候变暖情况的严重,城市内涝现象频发,对人们生活和城市运行产生严重影响。通过社交媒体对数据进行采集和挖掘,解决传统的灾害信息收集效率低、全域覆盖困难等问题,在灾害应急管理中发挥着关键作用。围绕对社交媒体内涝数据的采集、主题挖掘的关键技术方法,梳理国内外相关文献,进行必要的评述分析。最后,对现有研究存在的问题和未来发展趋势进行总结与展望。旨在为城市内涝数据采集、主题挖掘研究提供理论和方法支持,也为城市内涝灾害分析和管理提供参考。