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Towards interoperable research infra...

Zhao, Zhiming.

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Towards interoperable research infrastructures for environmental and earth sciences = a reference model guided approach for common challenges /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards interoperable research infrastructures for environmental and earth sciences/ edited by Zhiming Zhao, Margareta Hellstrom.
Reminder of title:	a reference model guided approach for common challenges /
other author:	Zhao, Zhiming.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	x, 373 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Environmental sciences - Research -
Online resource:	https://doi.org/10.1007/978-3-030-52829-4
ISBN:	9783030528294

Towards interoperable research infrastructures for environmental and earth sciences = a reference model guided approach for common challenges /
Towards interoperable research infrastructures for environmental and earth sciencesa reference model guided approach for common challenges /[electronic resource] :edited by Zhiming Zhao, Margareta Hellstrom. - Cham :Springer International Publishing :2020. - x, 373 p. :ill. (some col.), digital ;24 cm. - Lecture notes in computer science,120030302-9743 ;. - Lecture notes in computer science ;12003..

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.

Open access.

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.

ISBN: 9783030528294

Standard No.: 10.1007/978-3-030-52829-4doiSubjects--Topical Terms:

3461134
Environmental sciences
--Research

LC Class. No.: GE70

Dewey Class. No.: 333.7072

Towards interoperable research infrastructures for environmental and earth sciences = a reference model guided approach for common challenges /
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300 $a x, 373 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12003
490 1 $a Information systems and applications, incl. internet/web, and HCI
505 0 $a 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.
506 $a Open access.
520 $a 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.
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650 2 4 $a Geography, general. $3 2162156
700 1 $a Zhao, Zhiming. $3 1926206
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830 0 $a Lecture notes in computer science ; $v 12003. $3 3461133
830 0 $a Information systems and applications, incl. internet/web, and HCI. $3 3382505
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