Abstract
The necessity of organizing a machine-to-machine data exchange in the Earth sciences for their subsequent interdisciplinary analysis is shown. The barriers that hinder interaction between various information systems are indicated. The requirements, FAIR, for datasets and the principles, TRUST, for data repositories that must be met to effectively exchange data are presented. An ocean data exchange scheme is described, which is used within a pan-European project, SeaDataCloud, and can be proposed for data exchange with the World Data System. International formats of data exchange services and data visualization tools are briefly described. Examples of integration of distributed and heterogeneous data, metadata bases, and information about classifiers used in ESIMO (http://esimo.ru) are considered. An idea of standardizing a format for storing and exchanging data in the form of time series is proposed. In addition to standardization of formats, it is necessary to standardize the common codes and classifiers used in the data exchange and the parameter names from a unified vocabulary. Some prospects of inter-machine interaction are the creation of tools of data exchange with the existing international and national systems and of conveyor data processing ranging from hydrometeorological data collection to their use in business processes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IOP Conference Series: Earth and Environmental Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.