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Free and Open Source Research Environment for Recultivation of a Waste Deposit. Dept. of Ecosystems and Environmental Informatics. Landkreis Dahme-Spreewald Umweltamt. Mirko Filetti, Ronald Obst, Albrecht Gnauck. 2. CONTENTS. Introduction Free and Open Source Software (FOSS)
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Free and Open Source Research Environment for Recultivation of a Waste Deposit Dept. of Ecosystems and Environmental Informatics Landkreis Dahme-Spreewald Umweltamt Mirko Filetti, Ronald Obst, Albrecht Gnauck
2 CONTENTS • Introduction • Free and Open Source Software (FOSS) • Recultivation of the Waste Deposit „Großziethen“ • Conclusions Dept. of Ecosystems and Environmental Informatics CONTENT
4 ICT WORKING STEPS Within environmental research projects a general database has to be set up to store the data of sub-projects and to record them with metadata. The interoperability is warranted for all external and internal data repositories. The following data processing features have to be implemented to:- maintain and validate the research data,- include network repositories with different data structures,- distribute information with harvesting mechanism. The information retrieval system has to be designed. This will be happen by a user orientated implementation of interoperability and communication tools. Secure long term storage of data and archiving tools haveto be set up inside and outside the project for a furtheruse and reuse of data over a long time horizon. Dept. of Ecosystems and Environmental Informatics 01 · INTRODUCTION
6 FREE AND OPEN SOURCE SOFTWARE (FOSS) • The use of free and open source software (FOSS) is an attractive alternative to high cost commercial and often proprietary software solutions because of: • low cost, • short cycles of software development, • big user and programmer community • independency from enterprise, • according to international standards, • security. • But - nosingle FOSS orenterprisesoftwarecanbethebest in all fields! Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
7 FOSS for Research Activities • A virtual research environment (VRE) can be defined as: • “a platform for internet-based collaborative working that enables new ways of collaboration and a new way of dealing with research data and information.” (DFG 2007) • The key issue of a VRE is the development and implementation ofan information and data sharing concept where data sharing canbe done by different media. • But, the most important point is that VREs need to be more consi-dered as community building projects than as technology projects. • VRE’s gives benefits to scientific disciplines at all levels of research. There is neither an ‘out of the box-solution’ nor a ‘one size fitsall realizations’ approach that will meet the demands of allresearch activities. Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
8 VRE SERVICES AND FOSS APPLICATIONS Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
9 GEONETWORK OPENSOURCE (GNOS) • GNOS is a web 2.0 spatial Information-Management-System (IMS) based on international standards with network interoperability, metadata management, web map server and optional INSPIRE functionality. • GNOS was developed since 2001 by the UN and is continuous enhanced by many 3rd party organizations. • User management guarantees the admin and editing management, and gives users restricted front end access to each dataset. • Today, a worldwide user community including several research organizations are successfully using GNOS within large networks. There is an out of the box installation for GNOS under www.geonetwork-opensource.orgincluding DB and WMS for Windows and Linux. Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
10 NETWORK STRUCTURES (ACCESS / HARVESTING) • stand allone server with all data sources • closed intranet with hierarchical structures and distributed datasets • www with external nodes and different data sources Intranet www A B A C B A D C Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
11 RELEVANT STANDARDS Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
12 SYSTEM REQUIREMENTS • Fast Server with (minimal) dual/quad core CPU… • >500 GB / 1TB hard disk, • >4 GB RAM, • OS: Windows Server 2003 / 2008 or Linux, • Extensions: MySQL/PostgreSQL, PHP, Tomcat, Java, • GIS: Included WebMapServer / ArcIMS (GisWebServer, optional), • Cloud-Server (optional):dynamical scaling according to the requirements, • Virtualisation (optional):load-balancing, reliability, desaster management. Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
13 MAIN FEATURES OF GNOSS • Fast, sensitive and intuitive search for local and distributed (linked) spatial data, • according to international standards (metadata, ICT), • interactive map-viewer with maps and layer from servers worldwide, including interactive Google Maps connection, • simple editing of metadata with powerful template system, • data harvesting (data exchange / synchronization of data and metadata within closed and open networks), • fine grained user management and access control for datasets, • intern / external thesauri catalogue for keywords + RDF/SKOS, … • social networking and bookmarking included (facebook, …). Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
14 GNOS DATA RETRIEVAL Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
15 INSPIRE DIRECTIVE CONFORM SEARCH GNOS makes it more easy to get a rapid realisation of the new requirements to build an INSPIRE compliant data management system. It is possible to search according to the INSPIRE directive for the following criteria: annex, source type, service type taxonomy, themes Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
16 DATA TYPES (Example) Dept. of Ecosystems and Environmental Informatics 02 · FREE AND OPEN SOURCE SOFTWARE (FOSS)
18 STUDY AREA (active part) Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
19 STUDY AREA (recultivated border) Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
20 STUDY AREA (overwiev) Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
21 SAMPLING POINTS To guarantee the groundwater safety and human’s health for this place, a long-term monitoring of chemical substances in the groundwater with different measurement points in two levels has been established for the last 10 years. Annually, two measurement campaigns (spring and fall) provide data from 19 sampling points with 53 chem. / phys. indicators. houses & gardens waste deposit Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
22 ISO 19115:2003/19139 SCHEME FOR WASTE DEPOSIT “GROSSZIETHEN” Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
23 DATA SEARCH AND RESULTS Rekultivierung Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
24 POLLUTION PROFILE Groundwater flow direction Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
25 POLLUTION PROFILE Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
26 COOPERATIONS Landkreis Dahme-Spreewald Umweltamt Dept. of Ecosystems and Environmental Informatics Dept. of Ecosystems and Environmental Informatics 03 · RECULTIVATION OF THE WASTE DEPOSIT „GROSSZIETHEN“
28 CONCLUSIONS • General: • GNOS is a main FOSS component to handle spatial (meta)data and access previlleges with interoperable harvesting mechanisms, • VRE´s are able to facilitate or enhance any research activities in all fields of sciences with data management and communication tools (ICT). • Study area: • Management of big and small science data with geographic reference, • Laboratories • Forecast of pollution profiles • VRE Development: • Semantic web („machine readable internet“), • Data analysis, metadata analysis, • Reporting tools, decision support systems, • Artificial intelligence. Dept. of Ecosystems and Environmental Informatics 06 · CONCLUSIONS