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Computer Engineering Commons

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Other Civil and Environmental Engineering

Brigham Young University

2016

Data management

Articles 1 - 2 of 2

Full-Text Articles in Computer Engineering

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth Jul 2016

A Centralized Management System For Raster Data, Felix Linde, Ralf Wieland, Karin Groth

International Congress on Environmental Modelling and Software

We present a concept for a system to manage and distribute geo-referenced raster data from multiple possible sources on the institute level. The core concept is to centralize all import routines for data from different sources and formats, store the information in a common data format and distribute the needed information for research purposes upon request. By using hdf5 files, it can be assured that geo-spatial data is always kept in close connection with the corresponding meta-data. Furthermore this approach builds a technical basis for enhancing data fusion methods by allowing the use of common analysis routines, regardless of the …


A Scientific Data Management Infrastructure For Environmental Monitoring And Modelling, Daniel Henzen, Matthias Mueller, Simon Jirka, Ivo Senner, Thomas Kaeseberg, Jin Zhang, Lars Bernard, Peter Krebs Jul 2016

A Scientific Data Management Infrastructure For Environmental Monitoring And Modelling, Daniel Henzen, Matthias Mueller, Simon Jirka, Ivo Senner, Thomas Kaeseberg, Jin Zhang, Lars Bernard, Peter Krebs

International Congress on Environmental Modelling and Software

Environmental projects often require the collaboration of researchers from different disciplines or domains in an interoperable context. With regard to data handling, most of these projects have an analogous workflow: phenomena are monitored, observation data are captured, (pre-) processed, exchanged, published, and finally disseminated among other scientists, practitioners and stakeholders. In many cases, each of the project partners implements these workflows separately and the integration of the distributed data sets happen in later project stages. In this paper, we present building blocks for research data infrastructure which covers the complete project cycle and supports data integration right from the beginning. …