2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.DL2023★ 2 cited
Ontologies for increasing the FAIRness of plant research data
Kathryn Dumschott, Hannah Dörpholz, Marie-Angélique Laporte +6
The importance of improving the FAIRness (findability, accessibility, interoperability, reusability) of research data is undeniable, especially in the face of large, complex datase…
cs.DB2023★ 1 cited
Data sharing and ontology use among agricultural genetics, genomics, and breeding databases and resources of the AgBioData Consortium
Jennifer L. Clarke, Laurel D. Cooper, Monica F. Poelchau +12
Over the last several decades, there has been rapid growth in the number and scope of agricultural genetics, genomics and breeding (GGB) databases and resources. The AgBioData Cons…