AquaTT

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The Marine Knowledge Gate is an innovative tool which provides an inventory of European funded Marine Science and Technology Projects and their Knowledge Outputs. The inventory has an advanced search functionality, is regularly updated and is free to use. Please refer to the Search Tips, Technical Note and Disclaimer for further information.

Visualisation Tool

The aim of this Visualisation is to provide an overview of the marine research projects, surveyed by the MarineTT project.  The tool has been divided into several “clusters”.  These clusters were formed on the basis of similarity of research area, objectives or outputs.  Information on the research area and types of projects included in a cluster is provided in the description of each cluster.   The larger the cluster the more projects it includes.

 

This visualisation tool can be used in harmony with the Marine Knowledge Gate as each project in a cluster is linked to their project page in the Marine Knowledge Gate (http.//www.kg.eurocean.org). The Marine Knowledge Gate is an on-line repository of Knowledge Outputs (KOs) from EU funded marine research projects.  The Knowledge gate provides a more detailed description of the project outputs and identifies the end user of the knowledge.  The MarineTT visualisation tool can inform the user of where gaps in knowledge can be found in a particular research area and in certain cases shows where overlaps in research has occurred.

 

Please note:

•          Over 500 marine research projects were surveyed during MarineTT however; this tool represents only those projects (148) which completed the survey fully.

•          The MarineTT survey period ended in May 2010, therefore the visualisation tool only surveyed and recorded marine research projects up to that time.

•          Clustering was based on similarity of research area, objectives, or outputs therefore projects can be represented in multiple clusters.

•          Cluster funding figures provided include funding received by projects which appear across multiple clusters.

flagsThe research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7 /2007-2013) under grant agreement no 244164. This publication reflects the views only of the author, and the European Union cannot be held responsible for any use which maybe made of the information contained therein.

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