Spatial data management

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The spatial data management is closely connected with the Department of Geodesy. This is a cross-sectional task that links various competencies with one another.

At the core of spatial data management is not only the actual collection of spatial data - which is one of the basic tasks of geodesy - but its processing and preparation so that this spatial data can develop monetary benefits, for example by being made available automatically via spatial data infrastructures. Another aim of spatial data management is to optimize the use of spatial data.  

In the course of digitization and the availability of more and more spatial data, for example obtained through earth observation programs such as the ESA Copernicus mission, as well as due to an increased need for spatial data on the other hand - for example in apps - spatial data management is becoming increasingly important socio-politically.

definition

"Geodata management combines competencies from the areas of geographic information, information technology and management in social responsibility. In addition to the collection, data storage, evaluation of spatial data (geodata) and their automated provision via geodata infrastructures, for example via standardized services, network and database applications, key qualifications in project management, personnel management, sales and marketing as well as social skills are required. "

- Definition of the DVW Society for Geodesy, Geoinformation and Land Management e. V., developed by Working Group 2 Geoinformation and Geodata Management.

This definition deliberately aims at the differences between spatial data and geographic information management. Although both terms are often used in the same colloquial language, geodata, as a core component of all geodetic activities, only become geographic information through their interpretation. Through the acquisition, collection, storage and evaluation of spatial data and their automated provision via spatial data infrastructures, the occupational profile of spatial data management in interaction with other geodisciplines is developing into a geodetic specialist task.

Fields of competence

Spatial data management is a cross-sectional task that links activities from different specialist areas. According to the definition, three fields of competence can be mapped:

With a direct reference to geodesy, geographic information initially plays a role. In this regard, spatial data managers deal with spatial data in terms of its application-related recording and quality assurance, as well as with the analysis and presentation of spatial facts on the basis of the geodetic spatial reference according to position, height and severity. So this is about geo-competence.

Furthermore, the competence field of information technology , the so-called IT competence, plays a role in order to be able to work meaningfully with this spatial data. The data and system technology is important here. This goes hand in hand with the conception and implementation of technical solutions with service-oriented architecture and system development. The geodata must be modeled and coded on the basis of information and communication technology. In addition, their further processing should be automated as much as possible: The necessary IT infrastructure must be created and managed for the geodata.

Thirdly, management skills are required for geospatial data management . In order to implement projects in spatial data management, strategy development, structuring, coordination and control of the processes required for this in exchange with all project participants are required.

Requirement profile

Depending on the individual tasks in administration, science and business of the geodata manager, the fields of competence are in different forms and

Intensity part of working practice. Overall, the requirement profile of a geodata manager consists of technical, methodological and social skills.

Technical skills

  • Creation of a regulatory framework
  • Survey of the need for geospatial data, inventory analysis and data acquisition
  • Data preparation, administration, management and updating
  • Application-related exploration of geospatial data, process integration and information management
  • Conception of new data products
  • Development of production processes
  • Definition of framework requirements, especially for marketing and sales
  • Development and operation of an IT infrastructure suitable for geodata (GeoIT infrastructure)
  • Conception and development of services and applications
  • Quality management and control
  • Training, education and training

Methodological and social skills

  • Project management
  • coordination
  • Moderation
  • guide
  • Social skills

Job profiles

The job profiles in spatial data management include product strategy / sales management / product management, data (bank) broking, process development (data integrity, data security), management of geospatial services (including WMS , WMTS , WFS , WCS , INSPIRE ), controlling, IT system architecture (hardware , Databases, networks, clouds ), application development, specialist application, network / coordination as well as public relations, training and further education.

Web links

literature