Authors:
Marcos Sunye
1
;
Karolayne Lima
1
;
Alberto Abelló
2
and
Elisabete Ferreira
1
Affiliations:
1
Department of Informatics, Universidade Federal do Paraná, Centro Politécnico, Curitiba, Brazil
;
2
ESSI, Universitat Politècnica de Catalunya, Carrer de Jordi Girona, Barcelona, Spain
Keyword(s):
Metadata Integration, Scientific Data, Metadata Standards, Conceptual Model.
Abstract:
Addresses challenges in reusing scientific data, highlighting the necessity for enhanced metadata standards to facilitate data integration across various scientific domains. The primary contribution is a standardized conceptual schema for metadata, designed to improve data integration and reuse. This schema outlines the phenomena and methods in scientific research to enable better identification and integration of datasets. The schema was synthesized by analyzing four well-established metadata standards: DataCite, Darwin Core, Ecological Meta-data Language, and Dublin Core. This analysis aimed to identify semantic correspondences among these standards to create a unified conceptual schema. The analysis validated the practicality of the proposed schema. More than 11% of the 926 metadata elements analyzed were successfully integrated, demonstrating significant potential to improve data integration across different scientific domains. The proposed common conceptual schema for metadata i
mproves data integration and reuse in scientific research. By introducing structured descriptions of phenomena and methods, it facilitates the discovery of relationships between datasets, promoting integrated and interdisciplinary reuse without additional metadata creation costs.
(More)