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A user-centric metadata model to foster sharing and reuse of multidisciplinary datasets in environmental and life sciences
- Source :
- Computers & Geosciences, Computers & Geosciences, Elsevier, 2021, 154, 104807 [10 p.]. ⟨10.1016/j.cageo.2021.104807⟩, Computers & Geosciences, 2021, 154, 104807 [10 p.]. ⟨10.1016/j.cageo.2021.104807⟩, Computers & Geosciences (0098-3004) (Elsevier BV), 2021-09, Vol. 154, P. 104807 (10p.)
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- The recent technological advancements and emergence of the open data in environmental and life sciences are opening new research opportunities while creating new challenges around data management. They make available an unprecedented amount of data that can be exploited for studying complex phenomena. However, new challenges related to data management need to be addressed to ensure effective data sharing, discovery and reuse, especially when dealing with interdisciplinary research contexts. These issues are magnified in interdisciplinary context, by the fact that each discipline has its practices, e.g., specific formats and metadata standards. Moreover, the majority of current data management practices do not consider semantic heterogeneity existing among disciplines. For this reason, we introduce a flexible metadata model that describes the datasets of various disciplines using a common paradigm based on the observation concept. It provides a key vision for articulating the user point of view and underlying scientific domains. In this study, we therefore decide to mainly reuse the SOSA lightweight ontology (Sensor, Observation, Sample, and Actuator) to efficiently leverage others existing ontologies to improve datasets discovery and reuse coming from Earth and life observation. The main benefit of the proposed metadata model is that it extends the technical description, usually provided by existing metadata models, with the observation context description enabling the need of a user viewpoint. Moreover, following the FAIR principles, the metadata model specifies the semantics of its elements using ontologies and vocabularies, and reuses as much as possible ontological and terminological existing resources. We show the benefit and applicability of the model through a case study we identified as representative after interviewing researchers in environmental and life sciences.
- Subjects :
- [SPI.OTHER]Engineering Sciences [physics]/Other
Interdisciplinary datasets
Computer science
Data management
0208 environmental biotechnology
02 engineering and technology
Reuse
010502 geochemistry & geophysics
ENVIRONNEMENT
01 natural sciences
Semantic heterogeneity
OCEANOGRAPHIE BIOLOGIQUE
Computers in Earth Sciences
0105 earth and related environmental sciences
User-centered design
TRAITEMENT DE DONNEES
[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]
FAIR principles
INFORMATIQUE SCIENTIFIQUE
business.industry
DONNEES SATELLITE
SEMANTIQUE
Metadata modeling
Data science
MODELISATION
Semantics
020801 environmental engineering
Metadata
Data sharing
Semantic metadata model
[SDE]Environmental Sciences
business
Lightweight ontology
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 00983004 and 18737803
- Database :
- OpenAIRE
- Journal :
- Computers & Geosciences, Computers & Geosciences, Elsevier, 2021, 154, 104807 [10 p.]. ⟨10.1016/j.cageo.2021.104807⟩, Computers & Geosciences, 2021, 154, 104807 [10 p.]. ⟨10.1016/j.cageo.2021.104807⟩, Computers & Geosciences (0098-3004) (Elsevier BV), 2021-09, Vol. 154, P. 104807 (10p.)
- Accession number :
- edsair.doi.dedup.....149410fc66370aa5e48e375b23eb7c49