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Obtaining statistical data

Projects / Programmes source: ARIS

Survey of oceanographic data requirements in Slovenia and eastern Adriatic

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Research activity

Code Science Field Subfield
5.02.02  Social sciences  Economics  Business sciences 

Code Science Field
S195  Social sciences  Development cooperation 
P500  Natural sciences and mathematics  Geophysics, physical oceanography, meteorology 
Keywords
needs, social responsible development, oceanographic data, littoral development
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Researchers (7)
no. Code Name and surname Research area Role Period No. of publications
1.  13407  PhD Branko Čermelj  Biology  Researcher  2002 - 2003  182 
2.  21882  Boris Kobeja  Psychology  Researcher  2002 - 2003  20 
3.  05226  PhD Vlado Malačič  Hydrology  Researcher  2002 - 2003  366 
4.  04642  PhD Alenka Malej  Biology  Researcher  2002 - 2003  702 
5.  15314  PhD Damijan Mumel  Economics  Head  2002 - 2003  1,011 
6.  20320  PhD Boris Petelin  Hydrology  Researcher  2002 - 2003  127 
7.  21897  PhD Nada Trunk Širca  Administrative and organisational sciences  Researcher  2002 - 2003  574 
Organisations (2)
no. Code Research organisation City Registration number No. of publications
1.  0105  National Institute of Biology  Ljubljana  5055784  13,278 
2.  7097  University of Primorska, Faculty of management  Koper  1810014002  12,627 
Abstract
The aim of proposed project is a data requirement survey of potential users (public institutions, commercial enterprises) in Slovenia and eastern Adriatic region with regard to oceanographic data. Statistical analysis using the metodology of the EuroGOOS (Euro Global Ocean Observing System) survey (1997-1999), carried out in six EU countries, will indicate needs of potential users in eastern Adriatic region, as well as potential social benefits from using this data. These results will form the basis to propose technical solutions, e.g. data distribution systems, forms of data sets, data archive and accessibiility, selection of optimal parameters and measurement equipment.
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