Supportvertrag Der Fva-Projektdatenbank Tender

• Country: Germany
• Summary: Supportvertrag Der Fva-Projektdatenbank
• DET Ref No: 138045052
• Deadline: 26 Mar 2026
• Financier: Self Financed
• Purchaser Ownership: Government
• Tender Value: Refer Document
• Notice Type: Tender
• Document Ref. No.:
• Purchaser's Detail:
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• Description:
• Ref. 446-1570-1-2026 Support contract for the FVA project database Announcement of a planned award Type of ex-ante announcement Type of ex-ante announcement: Internal market relevance Ex-ante announcement of March 17, 2026 Participation deadline for expression of interest or Deadline: March 26, 2026 Type of procedure: Direct order / §14 UVgO, No. 7.2 of the state government's administrative regulation on the award of public contracts (VwV Procurement) dated July 23, 2024, - Ref.: WM17-02-134/171 - Client designation Forestry Baden-Württemberg Research and Research Institute Postal address Wonnhaldestr.4 Postal code 79100 City Freiburg Country DE VAT ID Contact point Department "Directorate" For the attention of Ms. Iris Strub Telephone +49 7614018-0 Fax +49 7614018322 E-mail Vergabe.FVA-BW@forst.bwl.de Main address (URL): Tenders (fva-bw.de) Service description Type and scope of the service Development of an open source geodata infrastructure at the FVA As part of the redesign of the IT infrastructure at the FVA, the geodata infrastructure and GIS landscape will be reorganized and switched to predominantly open source components in the future. The GDI is currently based on an MS SQL Server database with ArcSDE. ArcGIS Pro and ArcMap are used as GIS software. The provision of Geospatial services are provided using ArcGIS Enterprise. The future infrastructure will be based on the open source database system PostgreSQL with the spatial extension PostGIS. QGIS will be used as GIS software. The geospatial services infrastructure should be implemented via GeoServer and/or QGIS server. In addition to processing GIS projects, ETL (Extract-Transform-Load) processes are currently being updated using ArcGIS and Python using stand-alone scripts via the ArcPy interface of data used. It is also important to check to what extent these processes can be replaced by PyQGIS processes and/or database-based processes. For this purpose, a training course or...
• Documents:

 Tender Notice