Building Research Data Management Infrastructure using Open Source Software

作者: Christian Willmes , Daniel Kürner , Georg Bareth

DOI: 10.1111/TGIS.12060

关键词: ArchitectureUploadWorld Wide WebRDMEngineering managementGeospatial analysisPrimary researchOpen standardField (computer science)Spatial data infrastructureComputer science

摘要: The implementation of a research data management infrastructure for large interdisciplinary project is presented here, based on well-established Free and Open Source Software Geospatial (FOSS4G) products such as MapServer, MapProxy, GeoExt pyCSW, well the (not primarily geospatial) open source technologies Typo3 CKAN. depends demands by funding agency. It also aligns to theory practice in Research Data Management (RDM) e-Science. After related work field RDM are introduced, detailed description architecture its given. article discusses why standards chosen implement provides some suggestions examples how make it easier more attractive researchers upload publish their primary data.

参考文章(27)
Ora Lassila, Tim Berners-lee, James A. Hendler, The Semantic Web" in Scientific American ,(2001)
Arnulf Christl, Free Software and Open Source Business Models Open Source Approaches in Spatial Data Handling. pp. 21- 48 ,(2008) , 10.1007/978-3-540-74831-1_2
Georg Bareth, Reiner Doluschitz, Spatial Data Handling and Management Springer, Dordrecht. pp. 205- 222 ,(2010) , 10.1007/978-90-481-9277-9_13
Athanasios Tom Kralidis, Geospatial Open Source and Open Standards Convergences Open Source Approaches in Spatial Data Handling. pp. 1- 20 ,(2008) , 10.1007/978-3-540-74831-1_1
Arie Shoshani, Doron Rotem, None, Scientific Data Management: Challenges, Technology, and Deployment Chapman and Hall/CRC. ,(2009) , 10.1201/9781420069815
Ewa Deelman, Matthew Shields, Ian J. Taylor, Dennis B. Gannon, Workflows for e-Science: Scientific Workflows for Grids Springer-Verlag New York, Inc.. ,(2014)