Striving for Semantics of Plant Phenotyping Data

摘要

Addressing the goal of the workshop, i.e. to bridge the gap between academic and industrial aspects in regard to scholarly data, we inspect the case of plant phenotyping data publishing. We discuss how the publishers could foster advancements in the field of plant research and data analysis methods by warranting good quality phenotypic data with foreseeable semantics. Examining of a set of scientific journals dealing with life sciences for their policy with respect to plant phenotyping data publication shows that this type of resource seems largely overlooked by the data policymakers. Current lack of recognition, and resulting lack of recommended standards and repositories for plant phenotypic data, leads to depreciation of such datasets and their dispersion within general-purpose, unstructured data storages. No clear incentive for individual researchers to follow data description and deposition guidelines makes it difficult to develop and promote new approaches and tools utilising public phenotypic data resources.