AUTHOR=Kruseman Gideon 

TITLE=A Flexible, Extensible, Machine-Readable, Human-Intelligible, and Ontology-Agnostic Metadata Schema (OIMS)

JOURNAL=Frontiers in Sustainable Food Systems

VOLUME=Volume 6 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/sustainable-food-systems/articles/10.3389/fsufs.2022.767863

DOI=10.3389/fsufs.2022.767863

ISSN=2571-581X

ABSTRACT=This paper presents a light-weight flexible, extensible, machine readable and human-intelligible metadata schema that does not depend on a specific ontology. The purpose of the schema is to enhance data interoperability. The lack of interoperability of especially messy socio-economic data sets that contain a mixture of structured, semi-structured and unstructured data means that many data sets are underutilized. By adding a minimum set of rich metadata and describing new and existing data dictionaries in a standardized way goes a long way to making these high variety data sets interoperable and reusable and hence allows timely and actionable information to be gleaned from those datasets.