Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/9960
AuthorsPlakidis, E.* 
Romano, V.* 
Spogli, L.* 
De Franceschi, G.* 
TitleData Management Strategy for GNSS Services — The TRANSMIT Project Case
Issue Date17-Jul-2014
PublisherInTech
URIhttp://hdl.handle.net/2122/9960
ISBN978-953-51-1642-4
Keywordsdata management
GNSS
Subject Classification01. Atmosphere::01.02. Ionosphere::01.02.06. Instruments and techniques 
05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous 
05. General::05.09. Miscellaneous::05.09.99. General or miscellaneous 
AbstractTRANSMIT project is a Marie Curie Initial Training Network (ITN), funded under the EU FP7 framework. The programme vision is to act as the enabler of the IPDM network which will deliver the state-of-the-art to protect the range of essential systems vulnerable to ionospheric threats. TRANSMIT’s primary mission is to provide Europe with the next generation of researchers, equipping them with skills, through a multi-disciplinary, inter-sectorial, comprehensive, coordinated, industry-led training programme. The training offered, should enable the new researchers to understand in depth, the threats that ionosphere poses on modern technological systems, and more importantly on GNSS Precise Point Positioning (PPP) value chain, and respond to the needs of various stakeholders for robust counter-measures to deal with these threats. The secondary mission of TRANSMIT project is to develop real-time integrated state-of-the-art tools to mitigate the ionospheric threats, and make these tool available and accessible to the various stakeholders, via the “TRANSMIT Prototype. In this chapter we concentrate on the definition of the “data management strategy” or in simpler terms a plan for data management. In theory, data management (hereinafter DM) is defined as a function that includes “the planning and execution of policies, practices and projects”, with aim of “acquiring, controlling, protecting, delivering and enhancing the value of data and information assets”.
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