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www.gfz-potsdam.de 
DATA PUBLISHING SERVICES IN A SCIENTIFIC PROJECT PLATFORM 
Matthias Schroeder, Vivien Stender, and Joachim Wächter 
Centre for GeoInformationTechnology (CeGIT), 
Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Germany 
Introduction 
Data-intensive sciences lives from data. More and more interdisciplinary projects are aligned to mutually gain 
access to their data, models and results. In order to achieving this, an umbrella project GLUES is established in 
the context of the “Sustainable Land Management” (LAMA) initiative funded by the German Federal Ministry of 
Education and Research. The GLUES (Global Assessment of Land Use Dynamics, Greenhouse Gas Emissions and 
Ecosystem Services) project supports several different regional projects of the LAMA initiative: Within the 
framework of GLUES a scientific Geodata Infrastructure is implemented to facilitate publishing, sharing and 
maintenance of distributed global and regional scientific data sets as well as model results. The GLUES GDI [1] 
supports several OGC webservices like the Catalog Service Web (CSW) which enables it to harvest data from 
varying regional projects. 
References 
[1] Bernard, L., Mäs, S., Müller, M., Henzen, C., & Brauner, J. (2013). Scientific geodata infrastructures: Challenges, 
approaches and directions. International Journal of Digital Earth, 1-21. 
[2] [3] Ulbricht, D., Klump, J., Bertelmann, R. (2012): Publishing datasets with eSciDoc and panMetaDocs, (Geophysical 
Research Abstracts Vol. 14, EGU2012-7058-2, 2012), General Assembly European Geosciences Union (Vienna, Austria 
2012). 
[4] Open Archives Initiative - Protocol for Metadata Harvesting, http://www.openarchives.org/pmh/, last access March 
2014. 
[5] GeoNetwork Opensource, http://geonetwork-opensource.org/, last access March 2014. 
[6] Digital Object Identifier System, http://www.doi.org/, last access March 2014. 
[7] Schroeder M., Wächter J. (2012): A Scientific SDI Node for Sustainable Land and Water Management, Preconference 
Workshop "Testing Geospatial Web Services - Scientific SDIs" at 15th AGILE International Conference on Geographic 
Information Science, 24th April 2012, Avignon, France. 
Figure 1: The general architecture design of SuMaRiOs Scientific Spatial Data 
Infrastructure (SSDI). 
Poster: EGU2014-2595 
The Project SuMaRiO 
One of these regional projects (RPs) is the SuMaRiO (Sustainable Management of River Oases along the Tarim 
River) project. SuMaRiO aims to support oasis management along the Tarim River (PR China) under conditions 
of climatic and societal changes. SuMaRiO itself is an interdisciplinary and spatially distributed project. Working 
groups from 12 German institutes and universities are collecting data and driving their research in disciplines 
like Hydrology, Remote Sensing, and Agricultural Sciences among others. Each working group is thereby 
dependent on the results of another working group. 
This circumstance makes it necessary to establish an infrastructure for scientific data which enable distributing, 
sharing, and publishing of data and metadata. Further, this infrastructure for internal uses of SuMaRiO 
scientists can be simultaneously enlarged and connected to the GLUES GDI. 
General Design 
The data infrastructure should bridge the spatial 
distribution of participating institutes as mentioned 
before and provide interfaces for other services to 
harvest the information like the GLUES GDI. For that 
purpose we could use the well-established eSciDoc [2] 
infrastructure at the German Research Centre for 
Geosciences (GFZ). Within eSciDoc a metadata based 
data-exchange platform panMetaDocs [3] can be used 
by SuMaRiO participants collaborative. The tool 
panMetaDocs supports an OAI-PMH [4] interface which 
enables an Open Source metadata portal like 
GeoNetwork [5] to harvest the information. This enables 
the GLUES CSW further to harvest the SuMaRiO data via 
ISO 19115 interface from the GeoNetwork CSW and 
pass this to the users. However the data download is 
protected by a password access. 
Further, the data added in panMetaDocs can be labeled 
with a DOI (Digital Object Identifier) [6] for publishing 
the data subsequently. A WebGIS allows additionally 
access to spatial data via WMS or WFS interface. See 
figure 1 for all of this described explanations. 
Outlook 
These components of spatially distributed data repositories, CSW interfaces, 
and a WebGIS application complete a preliminary Scientific Spatial Data 
Infrastructure (SSDI) [7] for SuMaRiO. It is now increasingly important that as 
many scientists project-sided use this infrastructure and populate it with data 
and metadata. The next stage of the SSDI is the roll-out of that infrastructure 
as data provider for supporting a Decision Support System (DSS) for SuMaRiO. 
SuMaRiOs metadata can be requested via the GLUES Catalog website, 
searching for sumario. 
Contact 
SuMaRiO websites: www.sumario.de 
GLUES Geoportal: http://geoportal.glues.geo.tu-dresden.de/geoportal/index.php 
Author: matthias.schroeder@gfz-potsdam.de

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Data Publishing Services, EGU 2014, Vienna

  • 1. www.gfz-potsdam.de DATA PUBLISHING SERVICES IN A SCIENTIFIC PROJECT PLATFORM Matthias Schroeder, Vivien Stender, and Joachim Wächter Centre for GeoInformationTechnology (CeGIT), Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Germany Introduction Data-intensive sciences lives from data. More and more interdisciplinary projects are aligned to mutually gain access to their data, models and results. In order to achieving this, an umbrella project GLUES is established in the context of the “Sustainable Land Management” (LAMA) initiative funded by the German Federal Ministry of Education and Research. The GLUES (Global Assessment of Land Use Dynamics, Greenhouse Gas Emissions and Ecosystem Services) project supports several different regional projects of the LAMA initiative: Within the framework of GLUES a scientific Geodata Infrastructure is implemented to facilitate publishing, sharing and maintenance of distributed global and regional scientific data sets as well as model results. The GLUES GDI [1] supports several OGC webservices like the Catalog Service Web (CSW) which enables it to harvest data from varying regional projects. References [1] Bernard, L., Mäs, S., Müller, M., Henzen, C., & Brauner, J. (2013). Scientific geodata infrastructures: Challenges, approaches and directions. International Journal of Digital Earth, 1-21. [2] [3] Ulbricht, D., Klump, J., Bertelmann, R. (2012): Publishing datasets with eSciDoc and panMetaDocs, (Geophysical Research Abstracts Vol. 14, EGU2012-7058-2, 2012), General Assembly European Geosciences Union (Vienna, Austria 2012). [4] Open Archives Initiative - Protocol for Metadata Harvesting, http://www.openarchives.org/pmh/, last access March 2014. [5] GeoNetwork Opensource, http://geonetwork-opensource.org/, last access March 2014. [6] Digital Object Identifier System, http://www.doi.org/, last access March 2014. [7] Schroeder M., Wächter J. (2012): A Scientific SDI Node for Sustainable Land and Water Management, Preconference Workshop "Testing Geospatial Web Services - Scientific SDIs" at 15th AGILE International Conference on Geographic Information Science, 24th April 2012, Avignon, France. Figure 1: The general architecture design of SuMaRiOs Scientific Spatial Data Infrastructure (SSDI). Poster: EGU2014-2595 The Project SuMaRiO One of these regional projects (RPs) is the SuMaRiO (Sustainable Management of River Oases along the Tarim River) project. SuMaRiO aims to support oasis management along the Tarim River (PR China) under conditions of climatic and societal changes. SuMaRiO itself is an interdisciplinary and spatially distributed project. Working groups from 12 German institutes and universities are collecting data and driving their research in disciplines like Hydrology, Remote Sensing, and Agricultural Sciences among others. Each working group is thereby dependent on the results of another working group. This circumstance makes it necessary to establish an infrastructure for scientific data which enable distributing, sharing, and publishing of data and metadata. Further, this infrastructure for internal uses of SuMaRiO scientists can be simultaneously enlarged and connected to the GLUES GDI. General Design The data infrastructure should bridge the spatial distribution of participating institutes as mentioned before and provide interfaces for other services to harvest the information like the GLUES GDI. For that purpose we could use the well-established eSciDoc [2] infrastructure at the German Research Centre for Geosciences (GFZ). Within eSciDoc a metadata based data-exchange platform panMetaDocs [3] can be used by SuMaRiO participants collaborative. The tool panMetaDocs supports an OAI-PMH [4] interface which enables an Open Source metadata portal like GeoNetwork [5] to harvest the information. This enables the GLUES CSW further to harvest the SuMaRiO data via ISO 19115 interface from the GeoNetwork CSW and pass this to the users. However the data download is protected by a password access. Further, the data added in panMetaDocs can be labeled with a DOI (Digital Object Identifier) [6] for publishing the data subsequently. A WebGIS allows additionally access to spatial data via WMS or WFS interface. See figure 1 for all of this described explanations. Outlook These components of spatially distributed data repositories, CSW interfaces, and a WebGIS application complete a preliminary Scientific Spatial Data Infrastructure (SSDI) [7] for SuMaRiO. It is now increasingly important that as many scientists project-sided use this infrastructure and populate it with data and metadata. The next stage of the SSDI is the roll-out of that infrastructure as data provider for supporting a Decision Support System (DSS) for SuMaRiO. SuMaRiOs metadata can be requested via the GLUES Catalog website, searching for sumario. Contact SuMaRiO websites: www.sumario.de GLUES Geoportal: http://geoportal.glues.geo.tu-dresden.de/geoportal/index.php Author: matthias.schroeder@gfz-potsdam.de