
Easy Data is the French repository for long-tail data relating to the Earth and the Environment. EaSy Data uses vocabularies initiated by scientists to fill in specific metadata elements such as topics or keywords. These vocabularies are incomplete and do not reflect the complex diversity of data deposited in EaSyData. Other vocabularies exist and could be used to complete this vocabulary. Our aim is to improve the semantic functionality of EaSyData by connecting it to the EarthPortal. By combining the vocabularies displayed in the EarthPortal and EaSy Data vocabulary with associated services such as the annotator, we can offer researchers a more comprehensive set of tools to specify metadata. This will allow us to propose new ways for the researcher to specify metadata and thus improving the semantic capabilities of EaSyData. With four data clusters related to the Earth system and the environment (atmosphere, solid earth, continental surface and ocean), the French research infrastructure Data Terra wants to improve its data repository service (EaSyData) with a better use of semantics.
Metadata, ontologies, Interoperability, FAIR
Metadata, ontologies, Interoperability, FAIR
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
