|
|
|
|
|
| Beretta, Valentina; Desconnets, Jean-christophe; Mougenot, Isabelle; Arslan, Muhammad; Barde, Julien; Chaffard, Véronique. |
| 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... |
| Tipo: Text |
Palavras-chave: Interdisciplinary datasets; Semantic metadata model; Semantics; FAIR principles. |
| Ano: 2021 |
URL: https://archimer.ifremer.fr/doc/00693/80504/83706.pdf |
| |
|
| |
|
|
|
