SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science

Environmental scientific research is highly becoming data-driven and dependent on high performance computing infrastructures to process ever increasing large volume and diverse data sets. Consequently, there is a growing recognition of the need to share data, methods, algorithms, and infrastructure...

Full description

Bibliographic Details
Main Authors: Gregory Giuliani, Hugues Cazeaux, Pierre-Yves Burgi, Charlotte Poussin, Jean-Philippe Richard, Bruno Chatenoux
Format: Article
Language:English
Published: Ubiquity Press 2021-05-01
Series:Data Science Journal
Subjects:
Online Access:https://datascience.codata.org/articles/1334
id doaj-e9e6742a358f4d4ab10b3d5104ab068d
record_format Article
spelling doaj-e9e6742a358f4d4ab10b3d5104ab068d2021-06-10T07:59:09ZengUbiquity PressData Science Journal1683-14702021-05-0120110.5334/dsj-2021-022830SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open ScienceGregory Giuliani0Hugues Cazeaux1Pierre-Yves Burgi2Charlotte Poussin3Jean-Philippe Richard4Bruno Chatenoux5University of Geneva, Institute for Environmental Sciences, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 Geneva; University of Geneva, Institute for Environmental Sciences, EnviroSPACE lab., 66 Boulevard Carl-Vogt, 1205 GenevaUniversity of Geneva, Information Systems, 24 rue du Général Dufour, 1211 Geneva 4University of Geneva, Information Systems, 24 rue du Général Dufour, 1211 Geneva 4University of Geneva, Institute for Environmental Sciences, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 GenevaUniversity of Geneva, Institute for Environmental Sciences, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 GenevaUniversity of Geneva, Institute for Environmental Sciences, GRID-Geneva, Bd Carl-Vogt 66, CH-1211 GenevaEnvironmental scientific research is highly becoming data-driven and dependent on high performance computing infrastructures to process ever increasing large volume and diverse data sets. Consequently, there is a growing recognition of the need to share data, methods, algorithms, and infrastructure to make scientific research more effective, efficient, open, transparent, reproducible, accessible, and usable by different users. However, Earth Observations (EO) Open Science is still undervalued, and different challenges remains to achieve the vision of transforming EO data into actionable knowledge by lowering the entry barrier to massive-use Big Earth Data analysis and derived information products. Currently, FAIR-compliant digital repositories cannot fully satisfy the needs of EO users, while Spatial Data Infrastructures (SDI) are not fully FAIR-compliant and have difficulties in handling Big Earth Data. In response to these issues and the need to strengthen Open and Reproducible EO science, this paper presents SwissEnvEO, a Spatial Data Infrastructure complemented with digital repository capabilities to facilitate the publication of Ready to Use information products, at national scale, derived from satellite EO data available in an EO Data Cube in full compliance with FAIR principles.https://datascience.codata.org/articles/1334data sharinginteroperabilityearth observationsdata cubeenvironmental monitoringswitzerlandopen sciencereproducibility
collection DOAJ
language English
format Article
sources DOAJ
author Gregory Giuliani
Hugues Cazeaux
Pierre-Yves Burgi
Charlotte Poussin
Jean-Philippe Richard
Bruno Chatenoux
spellingShingle Gregory Giuliani
Hugues Cazeaux
Pierre-Yves Burgi
Charlotte Poussin
Jean-Philippe Richard
Bruno Chatenoux
SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
Data Science Journal
data sharing
interoperability
earth observations
data cube
environmental monitoring
switzerland
open science
reproducibility
author_facet Gregory Giuliani
Hugues Cazeaux
Pierre-Yves Burgi
Charlotte Poussin
Jean-Philippe Richard
Bruno Chatenoux
author_sort Gregory Giuliani
title SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
title_short SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
title_full SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
title_fullStr SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
title_full_unstemmed SwissEnvEO: A FAIR National Environmental Data Repository for Earth Observation Open Science
title_sort swissenveo: a fair national environmental data repository for earth observation open science
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2021-05-01
description Environmental scientific research is highly becoming data-driven and dependent on high performance computing infrastructures to process ever increasing large volume and diverse data sets. Consequently, there is a growing recognition of the need to share data, methods, algorithms, and infrastructure to make scientific research more effective, efficient, open, transparent, reproducible, accessible, and usable by different users. However, Earth Observations (EO) Open Science is still undervalued, and different challenges remains to achieve the vision of transforming EO data into actionable knowledge by lowering the entry barrier to massive-use Big Earth Data analysis and derived information products. Currently, FAIR-compliant digital repositories cannot fully satisfy the needs of EO users, while Spatial Data Infrastructures (SDI) are not fully FAIR-compliant and have difficulties in handling Big Earth Data. In response to these issues and the need to strengthen Open and Reproducible EO science, this paper presents SwissEnvEO, a Spatial Data Infrastructure complemented with digital repository capabilities to facilitate the publication of Ready to Use information products, at national scale, derived from satellite EO data available in an EO Data Cube in full compliance with FAIR principles.
topic data sharing
interoperability
earth observations
data cube
environmental monitoring
switzerland
open science
reproducibility
url https://datascience.codata.org/articles/1334
work_keys_str_mv AT gregorygiuliani swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
AT huguescazeaux swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
AT pierreyvesburgi swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
AT charlottepoussin swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
AT jeanphilipperichard swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
AT brunochatenoux swissenveoafairnationalenvironmentaldatarepositoryforearthobservationopenscience
_version_ 1721385415509803008