Databases for the Environmental and Social Sciences.

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University of Dundee

Queen Mother Building

Dundee

DD1 4HN

United Kingdom

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Although the Environmental and Social Sciences have developed a rich and useful toolset for data storage and analysis (Nvivo for example) it is apparent that some researchers in these fields are unaware of the advantages of properly structured data storage. The area of data storage has undergone an upheaval in computer science with the increasing popularity of nosql databases which has opened up new areas of data storage for analysis This workshop will bring together Computer Scientists with Environmental and Social Scientists to learn about data storage and the problems that environmental and social scientists have in their research. This event is made possible through the help of SICSA.

Speakers:

Computing:

Professor Mark Whitehorn: “Why Relational Databases save time and effort”

Gerry McNicol ( Mesacom Tech Ltd ) “Introduction to graph Databases.”

Andy Cobley : “Time series data (Sensors)” (TBC)

Rebecca Simmonds( University of Newcastle) “Scalable Geospatial Indexing with Cassandra”

Environmental and social Sciences:

Nandan Mukherjee global dataset on natural disaster loss and damage

If you wish to speak at this event please email Andy Cobley

Others to be invited from around Scotland.

This one day workshop will be spit into thirds, Sessions from Computer Scientists, Short sessions from social and environmental scientists and finally collaboration discussion groups exploring data handling and data analysis challenges. The day will finish with a wrap up session, conclusions and new collaboration groups. The outcome will be a greater understanding for computer scientists of the problems environmental and social scientists face. Social and environmental scientists will come away with a greater understanding of data handling and the advantages new techniques can bring.

Date and time

Location

University of Dundee

Queen Mother Building

Dundee

DD1 4HN

United Kingdom

View Map

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