Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges PDF
Preview Towards Interoperable Research Infrastructures for Environmental and Earth Sciences: A Reference Model Guided Approach for Common Challenges
Zhiming Zhao t r A Margareta Hellström (Eds.) - e h t - f o y -e e tv Towards Interoperable ar u t SS Research Infrastructures 3 0 0 for Environmental and 2 1 S C Earth Sciences N L A Reference Model Guided Approach for Common Challenges Lecture Notes in Computer Science 12003 Founding Editors Gerhard Goos Karlsruhe Institute of Technology, Karlsruhe, Germany Juris Hartmanis Cornell University, Ithaca, NY, USA Editorial Board Members Elisa Bertino Purdue University, West Lafayette, IN, USA Wen Gao Peking University, Beijing, China Bernhard Steffen TU Dortmund University, Dortmund, Germany Gerhard Woeginger RWTH Aachen, Aachen, Germany Moti Yung Columbia University, New York, NY, USA More information about this series at http://www.springer.com/series/7409 ö Zhiming Zhao Margareta Hellstr m (Eds.) (cid:129) Towards Interoperable Research Infrastructures for Environmental and Earth Sciences A Reference Model Guided Approach for Common Challenges 123 Editors Zhiming Zhao Margareta Hellström University of Amsterdam LundUniversity Amsterdam, TheNetherlands Lund,Sweden ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notesin Computer Science ISBN 978-3-030-52828-7 ISBN978-3-030-52829-4 (eBook) https://doi.org/10.1007/978-3-030-52829-4 LNCSSublibrary:SL3–InformationSystemsandApplications,incl.Internet/Web,andHCI ©TheEditor(s)(ifapplicable)andTheAuthor(s)2020.Thisbookisanopenaccesspublication. OpenAccessThisbookislicensedunderthetermsoftheCreativeCommonsAttribution4.0International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution andreproductioninanymediumorformat,aslongasyougiveappropriatecredittotheoriginalauthor(s)and thesource,providealinktotheCreativeCommonslicenseandindicateifchangesweremade. Theimagesorotherthirdpartymaterialinthisbookareincludedinthebook’sCreativeCommonslicense, unlessindicatedotherwiseinacreditlinetothematerial.Ifmaterialisnotincludedinthebook’sCreative Commonslicenseandyourintendeduseisnotpermittedbystatutoryregulationorexceedsthepermitteduse, youwillneedtoobtainpermissiondirectlyfromthecopyrightholder. Theuseofgeneraldescriptivenames,registerednames,trademarks,servicemarks,etc.inthispublication doesnotimply,evenintheabsenceofaspecificstatement,thatsuchnamesareexemptfromtherelevant protectivelawsandregulationsandthereforefreeforgeneraluse. Thepublisher,theauthorsandtheeditorsaresafetoassumethattheadviceandinformationinthisbookare believedtobetrueandaccurateatthedateofpublication.Neitherthepublishernortheauthorsortheeditors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissionsthatmayhavebeenmade.Thepublisherremainsneutralwithregardtojurisdictionalclaimsin publishedmapsandinstitutionalaffiliations. Thecoverillustrationwastakenfromhttps://envri.eu/ ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Preface This 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 research problems behind environmental and societal challenges such as climate change, food security, and natural disasters are intrinsically interdisciplinary. Modelling these processes individually is difficult enough, but modelling their inter- actionsisanotherorderofcomplexityentirely.Scientistsarechallengedtocollaborate across conventional disciplinary boundaries, but must first discover and extract data dispersed across many different sources and in many different formats. Effective research support environments are needed for various user-centralised research activ- ities, from formulating research problems to designing experiments, discovering data and services, executing workflows, and analysing then publishing the final results. Such support environments also have to manage research data during their entire lifecycle, throughout the phases of data acquisition, curation, publication, processing, anduse.Moreover,supportenvironmentsmustsupportthemanagementofunderlying infrastructure resources for computing, storage, and networking. In this ecosystem, researchinfrastructure(RI)isanimportantformofsupportiveenvironmentthatbridges the gap between the curation of research data and user-centred scientific activity, and alsobetweenresearchdataandtheunderlyingphysicalinfrastructure.Itbringstogether facilities,resources,andservicesusedbythescientificcommunitytoconductresearch, establish best practices for science, and foster innovation. This book presents the design, development, deployment, operation, and use of research infrastructures as 20 chapters via five parts. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure tech- nologies,parttwodiscussesthereferencemodelguidedengineeringapproach,thethird part presents the software and tools developed for common data management chal- lenges,thefourthpartdemonstratesthesoftwareviaseveralusecases,andthelastpart discusses the sustainability and future directions. Themainreadersofthebookwillbedevelopers,managers,operators,andpotential users of research infrastructures in environmental and earth sciences. This book will provide RI data managers in environmental and earth sciences with a common onto- logical framework and facilities for modeling data management requirements and practical data management guidelines during entire research life-cycle. It will provide RI stakeholders with very practical case studies on RI architecture design, service interoperability, and system-level environmental research. The book can also be a textbook for training young researchers and data managers in data management skills, vi Preface RI service development and operation practices, and using RIs for data-centric research. Inadditiontoresearchersanddevelopersinvolvedinthedataforsciencetheme,the developmentofthebookhasalsobeengreatlysupportedbytheprojectcoordinatorand RI partners, in particular those specialists willing to serve in the editorial board. We thank all the authors for contributing to the individual chapters, and reviewers for providingvaluablefeedbackonthecontent.Withouttheirsupport,thisbookwouldnot have been possible. May 2020 Zhiming Zhao Margareta Hellström Organisation Editorial Board Abad Chabbi INRA, France Abraham Nieva De La Cardiff University, UK Hidalga Alberto Basset University of Salento, Italy Alex Hardisty Cardiff University, UK Alex Vermeulen Lund University, Sweden Andre Chanzy INRA, France Andreas Petzold Forschungszentrum Jülich, Germany Angeliki Adamaki Lund University, Sweden Antti Pursula CSC, Finland Ari Asmi University of Helsinki, Finland Barbara Magagna Environment Agency Austria, Austria Carl-Fredrik Enell EISCAT, Sweden Cathrine Lund Myhre NILU, Norway Cees de Laat University of Amsterdam, The Netherlands Christian Pichot INRAE, France Christos Arvanitidis LifeWatch ERIC, Spain Damien Boulanger IAGOS, France Daniele Bailo INGV, Italy Doron Goldfarb Environment Agency Austria, Austria Dick Schaap MARIS, The Netherlands Erwann Quimbert Ifremer, France Hank Loescher NEON, USA Helen Glaves BGS, UK Heikki Lihavainen SIOS, Norway Ingemar Häggström EISCAT, Sweden Jacco Konijn University of Amsterdam, The Netherlands Johannes Peterseil Environment Agency Austria, Austria Juanjo Dañobeitia EMSO ERIC, Italy Juan Miguel LifeWatch ERIC, Spain González-Aranda Keith Jeffery Keith G Jeffery Consultants, UK Leonardo Candela CNR, Italy Magdalena Brus ICOS-RI, Finland Malcolm Atkinson University of Edinburgh, UK Markus Fiebig NILU, Norway Markus Stocker TIB Leibniz Information Centre for Science and Technology, Germany viii Organisation Massimo Cocco INGV, Italy Nicola Fiore LifeWatch ERIC, Italy Paul Martin University of Amsterdam, The Netherlands Paola Grosso University of Amsterdam, The Netherlands Paolo Laj Centre National de Recherche Scientifique, France Peter van Tienderen University of Amsterdam, The Netherlands Øystein Godøy SIOS, Norway Robert Huber University of Bremen, Germany Sanna Sorvari Finnish Meteorological Institute, Finland Spiros Koulouzis University of Amsterdam, The Netherlands Sylvie Pouliquen Ifremer, France Thierry Carval Ifremer and EuroArgo, France Werner L. Kutsch ICOS-RI, Finland Wouter Los University of Amsterdam, The Netherlands Xiaofeng Liao University of Amsterdam, The Netherlands Yannick Legre EGI Foundation, The Netherlands Yin Chen EGI Foundation, The Netherlands Contents Data Management in Environmental and Earth Sciences Supporting Cross-Domain System-Level Environmental and Earth Science. . . 3 Alex Vermeulen, Helen Glaves, Sylvie Pouliquen, and Alexandra Kokkinaki ICT Infrastructures for Environmental and Earth Sciences . . . . . . . . . . . . . . 17 Keith Jeffery, Antti Pursula, and Zhiming Zhao Common Challenges and Requirements. . . . . . . . . . . . . . . . . . . . . . . . . . . 30 Barbara Magagna, Paul Martin, Abraham Nieva de la Hidalga, Malcolm Atkinson, and Zhiming Zhao Reference Model Guided System Design and Development The ENVRI Reference Model. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 Abraham Nieva de la Hidalga, Alex Hardisty, Paul Martin, Barbara Magagna, and Zhiming Zhao Reference Model Guided Engineering . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 Zhiming Zhao and Keith Jeffery Semantic and Knowledge Engineering Using ENVRI RM . . . . . . . . . . . . . . 100 Paul Martin, Xiaofeng Liao, Barbara Magagna, Markus Stocker, and Zhiming Zhao Common Data Management Services in Environmental RIs Data Curation and Preservation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 Keith Jeffery Data Cataloguing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 Erwann Quimbert, Keith Jeffery, Claudia Martens, Paul Martin, and Zhiming Zhao Identification and Citation of Digital Research Resources. . . . . . . . . . . . . . . 162 Margareta Hellström, Maria Johnsson, and Alex Vermeulen Data Processing and Analytics for Data-Centric Sciences. . . . . . . . . . . . . . . 176 Leonardo Candela, Gianpaolo Coro, Lucio Lelii, Giancarlo Panichi, and Pasquale Pagano
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