The KINDRA project: sharing and evaluating groundwater research and knowledge in Europe

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Marco Petitta *
Balazs Bodo
Adrienn Cseko
Andrea Del Bon
Isabel Fernandez
Clint M. García Alibrandi
Mercedes Garcia Padilla
Eva Hartai
Klaus Hinsby
Peter Muller
Viktoria Mikita
Peter Szucs
Peter van der Keur
(*) Corresponding Author:
Marco Petitta | marco.petitta@uniroma1.it

Abstract

Groundwater knowledge and research in the European Union is often scattered and non-standardised, because of different subjects involved and different approaches from Member States. The Horizon2020 project KINDRA has conducted an EU-wide assessment of existing groundwater-related practical and scientific knowledge based on a new Hydrogeological Research Classification System, identifying more than 280 keywords related to three main categories (namely Operational Actions, Research topics and Societal Challenges) to be intersected in a 3D-diagram approach. The classification is supported by a web-service, the European Inventory of Groundwater Research, which acts not only as knowledge repository but also as a tool to help identify relevant research topics, existing research trends and critical research challenges. The records have been uploaded during the project by 20 national experts from National Associations of Geologists, under the umbrella of the European Federation of Geologists. The total number of metadata included in the inventory at the end of the project are about 2300, and the analysis of the results is considered useful for producing synergies, implementing policies and optimising water management in Europe. By the use of additional indicators, the database content has been analysed by occurrence of keywords, type of document, level of innovation. Using the three-axes classification, more easily understandable by 2D diagrams as bubble plots, occurrence and relationship of different topics (main categories) in groundwater research have been highlighted. This article summarizes the activities realized in relation to the common classification system and to the metadata included in the EIGR, showing the distribution of the collected information in different categories and attributes identified by the classification.

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