Data management in the marine sciences faces the complex issue of addressing contrasting cognitive models across scientific domains, meaning the various representations that different communities build for overlapping areas of interest. Each of these communities constructs an identity on a specific and personal set of inherited backgrounds, practices, and tacit knowledge, which are mirrored in how they understand the targets of their studies. From a practical point of view, this can result in mis-linking observations and usage. This paper reports on the work done within the EU FP7 SeaDataNet project to tackle such problems through an integrated discovery and data access paradigm. It is based on a flexible metadata model that allows researchers to link domain-specific metadata profiles encoded using SensorML OGC standard, the general discovery framework based on an ISO 19115/19139 profile called CDI, and the data through a common hub based on the Observations and Measurements OGC standard.
A metadata model for cross-domain marine data management, the SeaDataNet/Geo-Seas experience
Abstract: