共查询到20条相似文献，搜索用时 15 毫秒
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The Consultative Committee for Space Data Systems (CCSDS), in 2002, released their first version of a Reference Model for an Open Archival Information System (OAIS). In 2003, the model was adopted by the International Standards Organization (ISO) as ISO 14721:2003. The CCSDS document was updated in 2012 with additional focus on verifying the authenticity of data and developing concepts of access rights and a security model. The OAIS model is the basis of research data management systems across institutions and disciplines around the world. The Organization for the Advancement of Structured Information Standards (OASIS), in 2006, released their first version of a Reference Model for Service Oriented Architecture (SOA). OASIS defines the SOA as “a paradigm for organizing and utilizing distributed capabilities that may be under the control of different ownership domains.” Systems designed around the SOA model benefit from improved scalability, flexibility, and agility. This paper applies the SOA model to the OAIS repository to describe how repositories can be implemented and extended through the use of services that may be internal or external to the host institution, including the consumption of network- or cloud-based services and resources. We use the Service Oriented Architecture (SOA) design paradigm to describe a set of potential extensions to OAIS Reference Model: purpose and justification for each extension, where and how each extension connects to the model, and an example of a specific service that meets the purpose. 相似文献
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Christopher C. Harvey Michel Gangloff Todd King Christopher H. Perry D. Aaron Roberts James R. Thieman 《Earth Science Informatics》2008,1(1):5-13
As soon as the first data became available online over the Internet, it was obvious that different sites holding related datasets
should appear to the end user as a single data system, even if the data itself is stored at multiple locations. To achieve
this objective in the context of continuing parallel development of multiple data centres, in 2003 several actors in the realm
of space plasmas created the international consortium Space Physics Archive Search and Extract (SPASE). Since 2005 US participation
in SPASE has been supported by NASA, and early in 2006 NASA funded five new Virtual Observatories to cater for different aspects
of solar system plasma science. This paper outlines the current status of the SPASE effort, the opportunities it offers, its
specificities with respect to other parts of the astronomical virtual observatory, and the possibilities it offers for space
weather.
相似文献
| Christopher C. HarveyEmail: |
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地球系统科学数据共享网络平台的设计和开发 总被引：9，自引：0，他引：9
“地球系统科学数据共享网”是国家科学数据共享工程的试点之一,同时也是国家科技基础条件平台的组成部分,其目的是为地球系统科学的基础和前沿研究提供数据支撑服务。该系统平台(GEODATA)是一个分布式的数据交换体系,总体设计思路是利用元数据整合分散的地学数据资源,通过业务逻辑的技术封装提供地学数据的网络共享。设计的GEODATA体系是一个五层结构,即门户层、共享业务层、核心服务层、资源管理层和网络平台层,具体的业务逻辑处理功能被分解为13个功能模块。GEODATA的研发技术路线包括总中心和分中心两大部分,其中总中心采用“地学数据超市”理念进行功能组织;分中心基于Web Services技术,采用分布式数据管理的模式进行设计。两者的业务逻辑基于元数据的生命周期被串联成一个有机的整体。GEODATA原型系统利用J2EE开发,实现跨平台部署。应用实践表明这种平台构架模式非常适用于地球系统科学的学科特点。 相似文献
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Design and Implementation of Space Dust Database 总被引：2，自引：0，他引：2
Space debris is very dangerous to the security of on-the-orbit spacecrafts, and it is increasing in number at high speed with the expansion of human space exploration. Space debris has become a serious space pollutant noticed by many astronomers. The increase of space dust sources and the development of research on space dust urgently need space dust data sharing and exchanging. It is necessary for us to establish the Space Dust Database to realize the sharing and canonical management of the data. The Space Dust Database (SDD) management system,based on the 3-layer B/S computer mode, was designed and implemented in this paper. The system‘s features include significantly improved runtime efficiency, good scalability and maintainability. The Space Dust Database can pTovide some scientific bases for the study of the chemical constituents, mineral composition, origin and sources of space dust, but also provide excellent data services and decision-making support for the protection of space and model construction of space dust. 相似文献
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Space Physics Interactive Data Resource—SPIDR 总被引：1，自引：0，他引：1
Mikhail Zhizhin Eric Kihn Rob Redmon Dmitry Medvedev Dmitry Mishin 《Earth Science Informatics》2008,1(2):79-91
SPIDR (Space Physics Interactive Data Resource) is a standard data source for solar-terrestrial physics, functioning within
the framework of the ICSU World Data Centers. It is a distributed database and application server network, built to select,
visualize and model historical space weather data distributed across the Internet. SPIDR can work as a fully-functional web-application
(portal) or as a grid of web-services, providing functions for other applications to access its data holdings.
相似文献
| Mikhail ZhizhinEmail: |
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Unidata’s Common Data Model mapping to the ISO 19123 Data Model 总被引：1，自引：1，他引：0
Access to real-time distributed Earth and Space Science (ESS) information is essential for enabling critical Decision Support
Systems (DSS). Thus, data model interoperability between the ESS and DSS communities is a decisive achievement for enabling
cyber-infrastructure which aims to serve important societal benefit areas. The ESS community is characterized by a certain
heterogeneity, as far as data models are concerned. Recent spatial data infrastructures implement international standards
for the data model in order to achieve interoperability and extensibility. This paper presents well-accepted ESS data models,
introducing a unified data model called the Common Data Model (CDM). CDM mapping into the corresponding elements of the international
standard coverage data model of ISO 19123 is presented and discussed at the abstract level. The mapping of CDM scientific
data types to the ISO coverage model is a first step toward interoperability of data systems. This mapping will provide the
abstract framework that can be used to unify subsequent efforts to define appropriate conventions along with explicit agreed-upon
encoding forms for each data type. As a valuable case in point, the content mapping rules for CDM grid data are discussed
addressing a significant example.
相似文献
| Lorenzo BigagliEmail: URL: www.imaa.cnr.it |
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Within the TERENO initiative, four terrestrial observatories, collecting huge amounts of environmental data, are being set up since 2008. To manage, describe, exchange and publish these data, the distributed Spatial Data Infrastructure TEODOOR (http://www.tereno.net) was created. Each institution responsible for an individual observatory sets up its own local data infrastructure, which may communicate with each other to exchange data and metadata internally or to the public by OGC compliant Web services. The TEODOOR data portal serves as a database node to provide scientists and decision makers with reliable and well-accessible data and data products. Various tools like hierarchical search or Web-GIS functions allow a deeper insight into the different observatories, test sites and sensor networks. Sensor data can be queried and selected for measured parameters, stations and/or time periods, and can be visualized and downloaded according to a shared TERENO data policy. Currently, TEODOOR provides free access to data from more than 500 monitoring stations. 相似文献
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A Survey of the Spatio-Temporal Data Model 总被引：1，自引：0，他引：1
Traditional GIS(Geographic Information System)mostly can only describe the transient state data and does not have the ability to deal with the temporal dynamic data. When the data changes, new data will take the place of the old data, namely the transient state change into another, and the old data will disappear. Therefore, it is unable to make an analysis of the updating changes of the data and predict the development trend of the future. In this case, TGIS (Temporal Geographic Information System) emerges and expands the time dimension on the basis of traditional GIS. Spatio-temporal data model is the key to TGIS. Spatio-temporal data modeling is not only related to dynamic expression of spatio-temporal objects, but also gives an important support for spatio-temporal analysis and reasoning. This paper summarized the theories and applications status at home and abroad of spatio-temporal data model in detail, illustrated family tree of spatio-temporal data model for the nearly fifty years, discussed improvement and application status of Base State with Amendments Model, Event-based Spatio-temporal Data Model, Object-oriented Data Model and other spatio-temporal data models, and raised the existing problems of spatio-temporal data model. The current existing problems mainly includes: ①There are a lot of spatio-temporal data models put forward, but some of them only focus on semantic design and neglect the verified; ②Most of existing spatio-temporal data model are for vector data, only the Event-based Spatio-temporal Data Model is raster data structure; ③At present, the expression the time-space information of geographic entity is relative separated with spatio-temporal data model; ④Spatio-temporal data model is mainly used in cadastral management, land use and forestry data updating, less application in other fields. In the end, the future development direction was put forward of spatio-temporal data model. In the time of big data and “Internet plus”, it is necessary to explore the big data spatio-temporal data model that supports multiple data formats. 相似文献
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Krisanadej Jaroensutasinee Wittaya Pheera Mullica Jaroensutasinee 《Earth Science Informatics》2014,7(3):205-213
As large quantities of physical data are always collected for Ecoinformatics research, it is difficult for them to be cleaned, shared, visualized, and analyzed by research collaborators. To resolve this difficulty, this study presents online weather data analysis and visualization cyber-infrastructures consisting of (1) online weather data analysis and visualization tools and (2) near real-time online weather data portal. Firstly, these online tools at www.twibl.org/weather provide data sharing in three web pages: information on instruments and site; data access protected by simple password security; data analysis and visualization services so-called “Ecoinfows”. Secondly, the near real-time online weather data portal for visualizing and forecasting weather data from cloud storage of many automatic weather stations is online at www.twibl.org/aaportal. To overcome speed and accessibility problems, we developed these tools with many technologies - i.e. cloud computing, online computing XML (webMathematica), and binary access data conversion. 相似文献
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Abstract. An object-relational data model is an entry point and integral part of geologic analysis system, in which we can start geologic modeling inside a database. A conceptual data model named the Geoscience (Earth Resources) Data Model 3.0 has been developed based on the conceptual design of NADM-C1.0 and EGDM 812. Such adaptation makes this data model interoperable with data models from other geoscience fields. The focus of current data model is to effectively manage multi datasets related with the study of earth resources and to create relationship among data types.
The conceptual data model for earth resources is successfully implemented physically by integrating a GIS and relational data storage. The direct link between relational database and GIS makes the database contents highly visual and spatially enabling. Database contents are fully georeferenced through different types of georeferencing systems that enables data integration, visualization and analysis of multi geoscience datasets in 2D and 3D environment. A new way of geologic analysis through visualization of virtually all kinds of geoscience datasets is proposed.
The earth resources research and industry can take benefits on this system through better data management and effective geologic visualization that in turn accelerate a better understanding of earth resources. Meanwhile wider geoscience community will benefit from better interaction and data sharing among geoscience fields for accelerating a better understanding of our complex earth. 相似文献
The conceptual data model for earth resources is successfully implemented physically by integrating a GIS and relational data storage. The direct link between relational database and GIS makes the database contents highly visual and spatially enabling. Database contents are fully georeferenced through different types of georeferencing systems that enables data integration, visualization and analysis of multi geoscience datasets in 2D and 3D environment. A new way of geologic analysis through visualization of virtually all kinds of geoscience datasets is proposed.
The earth resources research and industry can take benefits on this system through better data management and effective geologic visualization that in turn accelerate a better understanding of earth resources. Meanwhile wider geoscience community will benefit from better interaction and data sharing among geoscience fields for accelerating a better understanding of our complex earth. 相似文献
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Jonathan Yu Simon Cox Gavin Walker Paul J. Box Paul Sheahan 《Earth Science Informatics》2011,4(3):125-137
The machine readable encoding language XML is used in water informatics to describe resources and observational data, such
as the Water Data Transfer Format (WDTF). WDTF is part of an Australian initiative, established by the Australian Bureau of
Meteorology in collaboration with CSIRO, to collate water resources data from multiple data providers into a national water
information system. A common way of validating XML data is by defining a schema using XML Schema Definition language (XSD)
and performing validation using standard XSD tools. However, XSD validation lacks the ability to perform content validation
to assert context, domain and organizational rules such as soft-typing, co-constraints, and code-list or vocabulary checking,
which is required in the validation of WDTF data. In this paper, we describe a validation service for validating water resources
data encoded in WDTF, which combines structural and content validation. We also describe the use of a vocabulary service with
the WDTF validation service to perform code-list and vocabulary checking. 相似文献
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中国地球系统模式中普遍存在的耦合器CPL6(美国国家大气研究中心的第六代通量耦合器)在很大程度上限制了模式在高分辨率上的发展,新一代耦合器CPL7并行度的可扩展性更高,能够适应更高分辨率的构型。以CPL7与中国科学院大气物理研究所的第二代格点大气环流模式(the Version 2 Grid-point Atmospheric Model of Institute of Atmospheric Physics,Chinese Academy of Sciences)的耦合为例,概述了其耦合原理,为CPL7与中国其他模式的耦合提供相关的经验。结合国内外模式的发展方向,CPL7耦合器在中国未来几年的地球系统模式的耦合改进中将占有很大的优势地位。 相似文献
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中国西部环境与生态科学数据中心：面向西部环境与生态科学的数据集成与共享 总被引：1，自引：1，他引：0
国家自然科学基金委员会“中国西部环境与生态科学研究计划”自2001年启动以来,有力地推动了西部区域环境演化、陆地生态过程和人类活动对环境的影响等方面的研究,积累了丰富的基础数据。国家自然科学基金委员会“中国西部环境与生态科学数据中心”承担“西部计划”项目数据产出的收集、管理、集成,并面向西部环境与生态科学的各个领域提供科学数据服务。“西部数据中心”的总体框架是以“西部计划”和地球系统科学发展的科学需求为导向,建成以数据共享、知识积累、合作交流和数据科学为主要内容的集成平台,为“西部计划”多学科的交叉研究和成果的综合集成及地球科学发展的长远目标服务。以共建共享的指导思想集成针对西部环境与生态现状与变化的基础背景数据、环境与生态观测数据、模型数据集、数据工具及数据文档;并以完全与开放的数据共享原则为用户提供推送式数据服务。目前,“西部数据中心”已完成了数据共享平台、知识积累平台与合作交流平台的开发和集成,初步形成了科学数据平台,整理并发布了大量的西部环境生态科学所需的关键数据集。 相似文献
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地学数据产品的开发、发布与共享 总被引：6，自引：1，他引：5
数据是科学研究的基础,数据共享可以最大程度地发挥数据的使用价值,数据是实现数据共享最基本的要素。地学数据具有空间性、综合性、时间性、海量性、多源性等特点。属性数据、遥感数据、矢量数据是加工生产地学数据产品的重要数据源,属性数据空间化是加工、生产地学数据产品的重要技术手段。地学数据共享发布平台应当具备用户管理、数据目录查询、元数据管理、数据查询与浏览、数据下载等基本功能。推进科学数据共享,必须要有相应的政策措施保证,必须建立公正、合理的数据工作评价体系。 相似文献