The importance of improving the FAIRness (findability, accessibility, interoperability,
reusability) of research data is undeniable, especially in the face of large, complex datasets …

Research data management (RDM) combines a set of practices for the organization, storage
and preservation of data from research projects. The RDM strategy of a project is usually …

Agriculture is confronted with several challenges such as climate change, the loss of
biodiversity and stagnating productivity. The massive increasing amount of data and new …

Tea, one of the most widely consumed beverages globally, exhibits remarkable genomic
diversity in its underlying flavour and health‐related compounds. In this study, we present …

The recently described canal-1 tomato mutant, which has a variegated leaf phenotype, has
been shown to affect canalization of yield. The corresponding protein is orthologous to …

The technological advancements in bio-science research are resulting in the generation of
vast amounts of complex and heterogeneous data sets from individual studies. Efficient …

The recently described canal-1 tomato mutant, which has a variegated leaf phenotype, has
been shown to affect canalization of yield. The corresponding protein is orthologous to …

Research data management (RDM) combines a set of practices for the organization, storage
and preservation of data from research projects. The RDM strategy of a project is usually …

Dataset management systems are essential for assisting research and development (R&D)
organizations in applying data governance protocols, especially in managing the utilization …

Improvements in process representation in numerical weather prediction (NWP) models
requires informed collaboration between scientists making research-grade observations and …