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Towards Interoperable Research Infrastructure s for Environmental and Earth
USD35,00
Aproximadamente29,95 EUR
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Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con sobrecubierta para las tapas duras. Incluye todas las páginas sin arrugas ni roturas. El texto no está subrayado ni resaltado de forma alguna, y no hay anotaciones en los márgenes. Puede presentar marcas de identificación mínimas en la contraportada o las guardas. Muy poco usado. Consulta el anuncio del vendedor para obtener más información y la descripción de cualquier posible imperfección.
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Ubicado en: Las Vegas, Nevada, Estados Unidos
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Entrega prevista entre el lun. 20 oct. y el jue. 23 oct. a 94104
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N.º de artículo de eBay:196254262541
Última actualización el 30 jul 2025 20:43:16 H.EspVer todas las actualizacionesVer todas las actualizaciones
Características del artículo
- Estado
- EAN
- 9783030528287
- ISBN
- 9783030528287
- UPC
- 9783030528287
- MPN
- N/A
Acerca de este producto
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030528286
ISBN-13
9783030528287
eBay Product ID (ePID)
13050416084
Product Key Features
Number of Pages
X, 373 Pages
Publication Name
Towards Interoperable Research Infrastructures for Environmental and Earth Sciences : A Reference Model Guided Approach for Common Challenges
Language
English
Publication Year
2020
Subject
Systems Architecture / General, Environmental Science (See Also Chemistry / Environmental), Enterprise Applications / General
Type
Textbook
Subject Area
Computers, Science
Series
Lecture Notes in Computer Science Ser.
Format
Trade Paperback
Dimensions
Item Weight
20.7 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Series Volume Number
12003
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Supporting cross-domain system-level environmental and earth science.- ICT infrastructure for environmental and earth sciences.- Common challenges and requirements.- ENVRI reference model.- Reference model guided engineering.- Semantic and knowledge engineering using ENVRI RM.- Data curation and preservation.- Data cataloguing.- Data identification and citation.- Data processing.- Virtual infrastructure optimization.- Data provenance.- Metadata, semantic linking.- Authentication, Authorization, and Accounting.- Virtual research environment.- Case study: e.g., data subscriptions using elastic Cloud service.- Case study: e.g., D4Science: a VRE solution for RI.- Case study: LifeWatch.- Sustainability.- Future challenges.
Synopsis
Supporting cross-domain system-level environmental and earth science.- ICT infrastructure for environmental and earth sciences.- Common challenges and requirements.- ENVRI reference model.- Reference model guided engineering.- Semantic and knowledge engineering using ENVRI RM.- Data curation and preservation.- Data cataloguing.- Data identification and citation.- Data processing.- Virtual infrastructure optimization.- Data provenance.- Metadata, semantic linking.- Authentication, Authorization, and Accounting.- Virtual research environment.- Case study: e.g., data subscriptions using elastic Cloud service.- Case study: e.g., D4Science: a VRE solution for RI.- Case study: LifeWatch.- Sustainability.- Future challenges., This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a 'reference model guided' engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences. The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.
LC Classification Number
QA76.76.A65
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