Towards Interoperable Research Infrastructures for Environmental and Earth Sciences A Reference Model Guided Approach for Common Challenges

• Other Authors: Zhao, Zhiming (Editor), Hellström, Margareta (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Springer Nature 2020
• Series: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI 12003
• Subjects: Information technology: general issues; The environment; Expert systems / knowledge-based systems; Computer networking & communications; Software Engineering; Geography; Computer Applications; Environment, general; Special Purpose and Application-Based Systems; Information Systems and Communication Service; Software Engineering/Programming and Operating Systems; Geography, general; Computer and Information Systems Applications; Environmental Sciences; Database Management System; cloud computing; cloud providers; cloud services; computer networks; computing resource; data communication systems; databases; distributed computer systems; distributed systems; engineering; grid computing; internet; network protocols; open access; parallel processing systems; signal processing; telecommunication networks; wireless telecommunication systems; Operating systems
• Online Access: OAPEN Library: download the publication; OAPEN Library: description of the publication

Summary

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.

Physical Description

1 electronic resource (373 p.)

ISBN

978-3-030-52829-4

Access

Open Access