In this paper we present the design and implementation of Environmental data store (EDS). We also highlight the Environmental Thesaurus Server (EnvThs), a standalone web application developed by us, providing semantic support on submission and search within EDS. With the rapid growth in data volumes, data diversity and data demands from multi-disciplinary research effort, data management and exploitation are increasingly facing significant challenges for environmental scientific community. We describe Environmental data store (EDS), a system we are developing that is a web-based system following an open source implementation to manage and exploit multi-data-type environmental data. EDS provides repository services for the six fundamental data types, which meet the demands of multi-disciplinary environmental research. These data types are: a) Time Series Data, b) GeoSpatial data, c) Digital Data, d) Ex-Situ Sampling data, e) Modeling Data, f) Raster Data. Highly addressed on populating, archiving, discovering, and harvesting data from different nodes in EDS requires more precise and wide ranging vocabulary terms. A common, comprehensive controlled vocabulary, providing essential support to data submission and discovery, is an absolutely necessary component for EDS. EnvThs provides access to controlled vocabularies, taxonomies and ontologies widely used and recognized in geoscience/environmental informatics community. The Simple Knowledge Organization System (SKOS) is used for the representation of the controlled vocabularies coming from EnvThs. TemaTres, an open-source, web-based thesaurus management package is employed and extended for working with them. EDS offers unified submission interface for the above different data types; provides fully integrated, scalable search across content from different data systems hosting the above different data types, through integration with the EnvThs.
Ji, Peng and Piasecki, Michael, "Environmental Data Store: Design And Implementation" (2014). CUNY Academic Works.