@article{fdi:010080298,
  title = {{A} user-centric metadata model to foster sharing and reuse of multidisciplinary datasets in environmental and life sciences},
  author = {{B}eretta, {V}alentina and {D}esconnets, {J}ean-{C}hristophe and {M}ougenot, {I}. and {A}rslan, {M}uhammad and {B}arde, {J}ulien and {C}haffard, {V}{\'e}ronique},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he 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. {T}hey make
available an unprecedented amount of data that can be exploited for studying complex phenomena. {H}owever,
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. {T}hese issues are magnified in interdisciplinary
context, by the fact that each discipline has its practices, e.g., specific formats and metadata standards.
{M}oreover, the majority of current data management practices do not consider semantic heterogeneity existing
among disciplines. {F}or this reason, we introduce a flexible metadata model that describes the datasets of various
disciplines using a common paradigm based on the observation concept. {I}t provides a key vision for articulating
the user point of view and underlying scientific domains. {I}n this study, we therefore decide to mainly reuse the
{SOSA} lightweight ontology ({S}ensor, {O}bservation, {S}ample, and {A}ctuator) to efficiently leverage others existing
ontologies to improve datasets discovery and reuse coming from {E}arth and life observation. {T}he 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. {M}oreover, 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. {W}e show the benefit and
applicability of the model through a case study we identified as representative after interviewing researchers in
environmental and life sciences.},
  keywords = {{TRAITEMENT} {DE} {DONNEES} ; {ENVIRONNEMENT} ; {OCEANOGRAPHIE} {BIOLOGIQUE} ; {MODELISATION} ; {SEMANTIQUE} ; {INFORMATIQUE} {SCIENTIFIQUE} ; {DONNEES} {SATELLITE} ; {RECHERCHE} {PLURIDISCIPLINAIRE} ; {DONNEES} {DE} {LA} {RECHERCHE} ; {JEU} {DE} {DONNEES} ; {METADONNEE} ; {ONTOLOGIE}},
  booktitle = {},
  journal = {{C}omputers and {G}eosciences},
  volume = {154},
  numero = {},
  pages = {104807 [10 ]},
  ISSN = {0098-3004},
  year = {2021},
  DOI = {10.1016/j.cageo.2021.104807},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080298},
}