Water Resources Scientific Data Sharing in China

Collaboratively Sharing Scientific Data

Scientific research becomes increasingly reliant on multi-disciplinary, multi-institutional collaboration through sharing experimental data. Indeed, data sharing is mandatory by government research agencies such as NIH. The major hurdles for data sharing come from: i) the lack of data sharing infrastructure to make data sharing convenient for users; ii) users’ fear of losing control of their da...

Managing Scarce Water Resources – China

Digital Libraries: From Digital Resources to Challenges in Scientific Data Sharing and Re-Use

Sharing and Preserving Scientific Data with iRODS

A platform for scientific data sharing

In this paper, we use the semantic web technology, notably RDF, SPARQL and Linked Open Data in the context of scientific data sharing. More precisely, we present the LinkedWiki platform that is being developed at the Center for Data Science of Paris-Saclay University for scientific data integration. The goal is to facilitate the discovery and exploitation of scientists’ datasets by their collea...