Barde Julien, Chassot Emmanuel, Blondel E., Imzilen T., Nieblas Anne-Elise, Taconet Paul. (2017). Collaboration between fisheries and computer scientists for improved data description : the case of IOTC data sets.
Victoria Mahé : CTOI, 11 p. multigr. (Documents de Réunion - CTOI ; IOTC-2017-WPDCS13-33). Groupe de Travail sur la Collecte des Données et les Statistiques : GTCDS13, 13., Mahé (SEY), 2017/11/27-28.
Titre du document
Collaboration between fisheries and computer scientists for improved data description : the case of IOTC data sets
Année de publication
2017
Type de document
Colloque
Auteurs
Barde Julien, Chassot Emmanuel, Blondel E., Imzilen T., Nieblas Anne-Elise, Taconet Paul
Source
Victoria Mahé : CTOI, 2017,
11 p. multigr. (Documents de Réunion - CTOI ; IOTC-2017-WPDCS13-33).
Colloque
Groupe de Travail sur la Collecte des Données et les Statistiques : GTCDS13, 13., Mahé (SEY), 2017/11/27-28
Most fisheries data sets managed by the IOTC are in the public domain.These data sets are accessible and well described but currently hard to locate outside the IOTC website and require an improved description for facilitating their use, e.g., making explicit the license rights, the data structure, the codi cations used, and specifying available Web Services to access or subset the data. Metadata can be of great help to the users and also improve the citation of data management work with digital object identi ers (DOI) and data papers. Moreover, similar data sets are man- aged by the other Regional Fisheries Management Organizations and it would be helpful to standardize (meta-)data formats and access protocols at a global scale. In this paper, we present a method based on standards for metadata and data interoperability which enables a rich description of data sets by complying with widely used standards. We showcase how it is possible with these standards and the related applications which implement them to better describe and discover sheries and stock assessment data as well as to build additional services like data access and visualization tools.
Plan de classement
Appliquées à la pêche [040INFSTA01]
Descripteurs
BASE DE DONNEES ; DONNEES STATISTIQUES ; INFORMATIQUE SCIENTIFIQUE ; EFFORT DE PECHE ; GESTION DE STOCK ; THON ; OPEN DATA ; METADONNEES ; INTEROPERABILITE
