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...
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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 |
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