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WISKI 7 as a basis for research work at Teagasc, Ireland



Teagasc - the Irish Agriculture and Food Development Authority - contracted KISTERS to provide a hydro-meteorological time series management system. The system has been implemented by the Agricultural Catchments Programme (ACP) department from Teagasc to manage the data, on which their research work is based.

The ACP department carries out research into the impacts of agricultural fertilizer – specifically nitrogen and phosphate – from agricultural catchments. Their work considers the sources of pollutants, then looks at the ways in which the pollutants are mobilised and the pathways taken through to their areas of impact.

Data collected by the ACP team comprises a wide range of parameters from 6 test catchments throughout Ireland. A large number of chemical parameters are recorded, as well as precipitation, ground water, level and flow. In order to effectively import, store and analyse their data, Teagasc chose the WISKI 7 system following a European tender process.

The solution implemented comprises a flexible automated importer using the KiDSM (KISTERS Distributed Service Manager). Data files from loggers generated in different formats are sent to a central directory. This is continuously scanned by the KiDSM which picks the files up, converts them to a common format before being automatically saved into the WISKI database, under the respective parameter. ACP scientists are then able to use WISKI to manage and quality control their data, leaving a large amount of work to the KISTERS TSM (Time Series Management) engine to automatically update summary data sets. Consequently daily, monthly data as well as derived flow is updated as soon as new source data arrives, or when production data is edited.

With WISKI, Teagasc have a system in place which allows secure data storage as well as highly-flexible data access, editing and analysis. The WISKI system is also able to adapt to suite the potential future growth of Teagasc’s measuring network and should provide a significant aid in managing their data for research purposes.


For more information on this project, and others in the UK and Ireland, please contact Daniel Witham at