Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/496
Title: R&D Statistics Information System: An Interoperability Tail between CERIF and SDMX
Authors: Karaiskos, Dimitris 
Xinidis, Dimitris 
Bonis, Vasilis 
Keywords: CERIF
SDMX
R&D Statistics
system interoperability
Issue Date: 9-Jun-2016
Publisher: euroCRIS
Source: "Communicating and Measuring Research Responsibly: Profiling, Metrics, Impact, Interoperability": Proceedings of the 13th International Conference on Current Research Information Systems (2016)
Procedia Computer Science 106: 87-94 (2017)
Series/Report no.: CRIS2016: 13th International Conference on Current Research Information Systems (St Andrews, June 9-11, 2016)
Conference: CRIS2016 – St Andrews 
Abstract: Research and Development statistics (R&D statistics) provide valuable information on the expenditure spent and personnel engaged in R&D activities in a country, knowledge that facilitates the understanding on how R&D output contributes to economic growth and societal wellbeing. This endeavor requires a sound evidence base which is succeeded through internationally comparable statistics and a common survey methodology and conduct per country as part of its national official statistical program. For this purpose the National Documentation Centre of Greece (NDC or EKT using the Greek abbreviation), the designated organization for the collection and compilation of the Greek R&D statistics, build the R&D Information System to automate and support this specific business activity. This paper aims to provide an overview of the implemented R&D Information System but especially to focus on the adoption of CERIF and SDMX standards and their integration. CERIF was selected as the systems’ data model for its metadata representation capability and its high flexibility in forming semantic relationships while SDMX was adopted as the statistical data and metadata exchange standard. The integration of the two standards and their interoperability enables data and metadata quality maintenance, archiving and access while at the same time ensures valid and automated interchange of statistical information with national and international statistical offices.
Description: Delivered at the CRIS2016 Conference in St Andrews; published in Procedia Computer Science 106 (Mar 2017).-- Contains conference paper (8 pages) and presentation (17 slides).
URI: http://hdl.handle.net/11366/496
DOI: http://dx.doi.org/10.1016/j.procs.2017.03.039
Appears in Collections:Conference

Files in This Item:
File Description SizeFormat 
CRIS2016_paper_55_Karaiskos.pdfpost-print version449.29 kBAdobe PDFView/Open
Karaiskos June 2016 euroCRIS presentation.pptxPPT presentation1.57 MBMicrosoft Powerpoint XMLView/Open
Show full item record

Page view(s)

1,190
Last Week
8
Last month
26
checked on Dec 11, 2019

Download(s)

294
checked on Dec 11, 2019

Google ScholarTM

Check

Altmetric


Items in the euroCRIS DSpace-CRIS are offered under a CC-BY licence unless otherwise indicated.