Data Curation While many people collect data, few know how to structure, store and curate this data in a persistent manner. Allow us to share our experiences with you to allow you to make the most of the data you have so painstakingly collected
Data Modelling Initially it it tempting to store the data in the most convenient form, i.e. dump it to a table and get on with it. However, this will later create a great deal of extra work in the analysis and interpretation of the data. By building the initial data models based on international standards (ISO and OGC), the data automatically becomes reusable and sharable; available tools can easily be utilized.
Data Transformation Once a data model has been agreed upon, the existing data must be transformed to this data model. A mapping between source and target data models must be defined, transformations must be configured for the cases where data cannot be mapped on a 1:1 basis, additional data sources identified to fill the gaps.
Data Provision In order to make the best possible use of existing data, this data must be made available. Web services are the most efficient method of data provision, allowing other applications direct access to the data. For this purpose, we use the OGC services Web Feature Service (WFS) and Sensor Observation Service (SOS).
Visualization services A picture is worth a thousand words, the same principle applies to data. While statistical analysis is essential, one must also be able to "play" with the data, ideally through the use of visualization tools, to get a feeling for patterns within the data
Data Analysis At the end of the day, we collect data in order to analyze it and glean results. Let us support you in this process with long experience in the analysis of environmental data