Understanding the Economic Benefits of the Information technology Revolution (Information technology and Innovation Foundation, March 2007), http://archive. itif. org/index. php?
An Analysis of the Literature, The Electronic Journal of Information systems in Developing Countries 41 (2010), http://www. ejisdc. org/Ojs2/index. php/ejisdc/article/view/665 and Jyoti
electronic and optical products (26) Air transport (51) Publishing activities (58) Motion picture, video and television programme production, sound recording and music publishing activities (59) Programming
and broadcasting activities (60) Telecommunications (61) Computer programming, consultancy and related activities (62) Information service activities (63) Financial service activities,
the majority of countries in the core are developed countries with a relatively 3 This algorithm is implemented in UCINET software Borgatti, S. P.,Everett, M. G. & Freeman, L. C. 2002.'
'An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.'
combined with the Pagerank search algorithm, powered their success. There is no doubt that, at Stanford, Google's founders benefited from a very supportive
This is the case in the Oracle plea against Google in April/May 2012 over the use of the Java language to write APIS for the Android operating system. 21 Patent pools may be used where a standard complex technology is being assembled
Patents outside the pool become 21 Java is owned by Oracle, and its open source status has always been in a grey,
The use of a programming language to create the APIS has been considered‘fair use'in the past. Moreover the knowledge of how APIS work is essential for the ICT industry to build compatible software modules for instance the PC industry could not have been created without it,
where the source code as well as any updates are openly available to its users and creators. Although most related to the software industry, in theory open source can be employed to share original IPR in any sector. 23 By using open source software, in accordance with the open source licence, the SME gains significant protection from infringements on proprietary
as the source code and thus its concepts are openly available to all. Note that the freedoms
(whose origins lie in Steve jobs'Next Nextstep operating system, based on the MACH kernel from Carnegie mellon University, with Freebsd source code extensions), Linux,
27 Of the top 50 departments in the world in different subject areas, the majority are found in the USA (39 of 50 in computer science, 33 in engineering, 37 in neuroscience)( Technopolis, 2011;
and Innovation, http://www. nap. edu/catalog. php? record id=11989 Westerberg, U.,(2009), VINNOVA Report VR 2009: 19, The Public sector-one of three collaborating parties.
CA in 1998 by Larry page and Sergey Brin while they were Phd candidates in computer science at Stanford university.
(ex Netscape), David Cheriton (Stanford computer science Professor), and Jeff Bezos41 (Amazon). In June 1999, a $25 million round of funding was announced,
Consequently the algorithms behind Pagerank were guarded zealously. However, as Phd research students, they were expected to present their work
In many areas, KUKA has benefited from the control algorithms, technologies and software developed by DLR,
-KUKA uses DLR's model-based minimum cycle time algorithms for high-speed spot welding for car assembly lines.
simplified robot programming; faster robot reconfiguration; mobile platforms. Industrial projects-for SME users able to exploit robotics with feasibility studies (using local university students and mentors),
36 5. 1. 2 Academic ranking of a Computer science Faculty...38 5. 1. 3 Employer Ranking of a Computer science Faculty...
40 5. 1. 4 Citations Ranking of a Computer science Faculty...42 5. 1. 5 R&d Expenditures by ICT Firms...
44 5. 1. 6 ICT FP7 Funding to Private Organisations...46 5. 1. 7 ICT FP7 Participations...
56 5. 1. 12 Scientific Publications in Computer science...58 5. 1. 13 Outward ICT R&d Internationalisation...
32 Academic ranking of a Computer science faculty Agrd 2 10 Employer ranking of a Computer science faculty Agrd 3 11 Citations ranking of a Computer science faculty Agrd 4 29 R&d
of ICT R&d centres Agrd 11 7 Scientific publications in Computer science Agrd 12 23 Internationalisation Outward ICT R&d internationalisation Intrd 1 5
18 Academic ranking of a Computer science faculty Agrd 2 7 Employer ranking of a Computer science faculty Agrd 3 3 Citations ranking of a Computer science faculty Agrd 4 6 R&d
of ICT R&d centres Agrd 11 16 Scientific publications in Computer science Agrd 12 4 Internationalisation Outward ICT R&d internationalisation Intrd 1 16
of a Computer science faculty Agrd 2 8 Employer ranking of a Computer science faculty Agrd 3 8 Citations ranking of a Computer science faculty Agrd 4 4 R&d expenditures by ICT
centres Agrd 11 4 Scientific publications in Computer science Agrd 12 13 Internationalisation Outward ICT R&d internationalisation Intrd 1 4 Inward ICT
the EIPE ID card Activity Characteristic Name of Indicator Indicator ID Nr R&d Agglomeration Universities ranked in the QS University ranking Agrd 1 1 Academic ranking of a Computer science
faculty Agrd 2 2 Employer ranking of a Computer science faculty Agrd 3 3 Citations ranking of a Computer science faculty Agrd 4 4 R&d expenditures by ICT firms
R&d centres Agrd 11 11 Scientific publications in Computer science Agrd 12 12 Internationalisation Outward ICT R&d internationalisation Intrd 1 13 Inward
Academic ranking of a Computer science Faculty Table 15: Top ranking regions according to the Academic Computer science faculty QS Ranking indicator Rank NUTS3 Code Region name Indicator Value EIPE Rank 1 UKH12
Cambridgeshire CC 100 5 2 UKJ14 Oxfordshire 87 19 3 UKI22 Outer London-South 73 114 4 UKM25 Edinburgh, City
UKE21 York 27 63 29 ITD55 Bologna 27 76 Indicator description Indicator ID Agrd 2 Name of indicator Academic ranking of a Computer science faculty
Measures the performance of the Computer science faculty according to the academic ranking of QS Unit of measurement The highest rank of a Computer science faculty in the academic ranking Definition of ICT dimension Computer science faculty Unit of observation NUTS
Frequency of the Academic Computer science faculty QS Ranking indicator values 1244 1 5 5 12 11 8 9 2 2 1 1
1 1 0 500 1000 1500 Frequency 0 20 40 60 80 100 Academic ranking of a Computer science faculty Table 16:
Descriptive statistics of the Academic Computer science faculty QS Ranking indicator Number of observations Mean value Standard deviation Variance 1303 1. 38 7. 25 52.59 40 5
. 1. 3 Employer Ranking of a Computer science Faculty Table 17: Top ranking regions according to the Employer Computer science faculty QS Ranking indicator Rank NUTS3 Code Region name Indicator Value EIPE Rank 1 UKH12
Cambridgeshire CC 100 5 2 UKJ14 Oxfordshire 95 19 3 UKI12 Inner London-East 68 2 4 UKI22 Outer London
30 GR300 Attiki 28 49 Indicator description Indicator ID Agrd 3 Name of indicator Employer ranking of a Computer science faculty What does it measure?
Measures the performance of the Computer science faculty according to the employer ranking of QS Unit of measurement The highest rank of a Computer science faculty in the employer ranking Definition of ICT dimension Computer science faculty Unit
Frequency of the Employer ranking of a Computer science faculty indicator values 1244 1 3 3 12 12 11 6 6 1 1 1 2 0
500 1000 1500 Frequency 0 20 40 60 80 100 Employer ranking of a Computer science faculty Table 18:
Descriptive statistics of Employer Computer science faculty QS Ranking indicator Number of observations Mean value Standard deviation Variance 1303 1. 47 7. 63 58.27 42 5
. 1. 4 Citations Ranking of a Computer science Faculty Table 19: Top ranking regions according to the Citations Computer science faculty QS Ranking indicator Rank NUTS3 Code Region name Indicator Value EIPE Rank 1 UKL12
Gwynedd 100 266 2 PL127 Miasto Warszawa 91 50 3 NL335 Groot-Rijnmond 77 72 4 FR101 Paris 75 3
Gent 37 94 Indicator description Indicator ID Agrd 4 Name of indicator Citations ranking of a Computer science faculty What does it measure?
Measures the performance of the Computer science faculty according to the citations ranking of QS Unit of measurement The highest rank of a Computer science faculty in the citations ranking Definition of ICT dimension Computer science faculty Unit
Frequency of the Citations Computer science faculty QS Ranking indicator values 1243 3 11 10 9 6 7 3 2 3 2 2
1 1 0 500 1000 1500 Frequency 0 20 40 60 80 100 Citations ranking of a Computer science faculty Table 20:
Descriptive statistics of Citations Computer science faculty QS Ranking indicator Number of observations Mean value Standard deviation Variance 1303 1. 94 9. 57 91.58 44 5
. 12 Scientific Publications in Computer science Table 35: Top ranking regions according to scientific publications in Computer science indicator Rank NUTS3 Code Region name Indicator Value EIPE Rank 1 NL333 Delft en
Westland 100 17 2 DE138 Konstanz 93 53 3 DE711 Darmstadt, Kreisfreie Stadt 89 7 4 UKI12 Inner London-East
Port Talbot 32 272 Indicator description Indicator ID Agrd 12 Name of indicator Scientific publications in Computer science What does it measure?
in the Computer science area produced by organisations located in the observed region Unit of measurement Region's share in the total number of publications in Computer science to a region's share in the EU population Definition of ICT dimension Computer science as defined by Web
Frequency of the scientific publications in Computer science indicator values 1172 38 18 21 13 8 12 2 3 4 1 2 1 2
Descriptive statistics of scientific publications in Computer science indicator Number of observations Mean value Standard deviation Variance 1303 2. 32 9. 45 89.45 60 5. 1. 13
of indicator Universities ranked in the QS University ranking Academic ranking of a Computer science faculty Employer ranking of a Computer science faculty Citations ranking of a Computer science faculty R&d expenditures by ICT firms ICT FP7 funding
Measures the number of universities in QS university ranking Measures the performance of the Computer science faculty according to the academic ranking of QS Measures the performance of the Computer science faculty according to the employer ranking of QS Measures the performance
of the Computer science faculty according to the citations ranking of QS Measures the average annual amount spent on R&d in the ICT sector Measures the amount received for research in ICT R&d Unit of measurement Region's share in the total
number of EU ranked universities to a region's share in the EU population The highest rank of a Computer science faculty in the academic ranking The highest rank of a Computer science faculty in the employer ranking The highest rank of a Computer science
ICT firms in the EU to a region's share in the EU population Region's share in the total EU ICT FP7 funding to a region's share in the EU population Definition of ICT dimension None Computer science faculty Based on NACE
Scientific publications in Computer science What does it measure? It measures the total number of ICT R&d FP7 projects to which organisations,
in the Computer science area produced by organisations located in the observed region Unit of measurement Region's share in the total number of ICT FP7 participations to a region's share in the EU population Region's share in the total EU ICT
in Computer science to a region''s share in the EU population Definition of ICT dimension ICT areas of the FP7 programme Based on HIS isuppli classification of the major"semiconductors influencers"Computer science as defined by Web of Science classification of Research
Areas Unit of observation NUTS 3 Source ICT FP7 by EC DG CONNECT (see Section 8. 2) R&d Centre location by IHS isuppli (Section 8
Data Sources 8. 1 QS WORLD UNIVERSITY RANKINGS by QS The Computer science and Electronic Faculties rankings originate from the QS WORLD UNIVERSITY RANKINGS,
which there is the Computer science subject considered appropriate for the EIPE study. To construct measures of faculty performance,
For the purpose of the EIPE exercise, journals classified in the Computer science research area are considered. 8. 4 R&d Centre Location by IHS isuppli The data used for the purpose of identification of R&d centre locations
activities, 612-Wireless telecommunications activities, 613-Satellite telecommunications activities, 619-Other telecommunications activities, 6201-Computer programming activities, 6202-Computer consultancy activities
, computer peripheral equipment and software 4652 Wholesale of electronic and telecommunications equipment and parts 5820 Software publishing 61 Telecommunications 62 Computer programming,
o Computer science and engineering with respect to university faculties, o Computer science with respect to scientific publications, o ICT hardware and software with respect to R&d activity performed in R&d centres,
the EIPE ID card Activity Characteristic Name of Indicator Indicator ID Nr R&d Agglomeration Universities ranked in the QS University ranking Agrd 1 1 Academic ranking of a Computer science
faculty Agrd 2 2 Employer ranking of a Computer science faculty Agrd 3 3 Citations ranking of a Computer science faculty Agrd 4 4 R&d expenditures by ICT firms
11 Scientific publications in Computer science Agrd 12 12 Internationalisation Outward ICT R&d internationalisation Intrd 1 13 Inward ICT R&d internationalisation Intrd
of indicator Universities ranked in the QS University ranking Academic ranking of a Computer science faculty Employer ranking of a Computer science faculty Citations ranking of a Computer science faculty R&d expenditures by ICT firms FP7 funding
Measures the number of universities in QS university ranking Measures the performance of the Computer science faculty according to the academic ranking of QS Measures the performance of the Computer science faculty according to the employer ranking of QS Measures the performance
of the Computer science faculty according to the citations ranking of QS Measures the average annual amount spent on R&d in the ICT sector Measures the amount received for research in ICT R&d Unit of measurement Region's share in the total
number of EU ranked universities to a region's share in the EU population The highest rank of a Computer science faculty in the academic ranking The highest rank of a Computer science faculty in the employer ranking The highest rank of a Computer science
ICT firms in the EU to a region's share in the EU population Region's share in the total EU FP7 funding to a region's share in the EU population Definition of ICT dimension None Computer science faculty Based on NACE Rev
of indicator FP7 participations FP7 funding to SMES FP7 participations by SMES Location of ICT R&d centres Ownership of ICT R&d centres Scientific publications in Computer science
in the Computer science area produced by organisations located in the observed region Unit of measurement Region's share in the total number of FP7 participations to a region's share in the EU population Region's share in the total EU FP7 funding
's share in the EU population Region's share in the total number of R&d centres owned by EU firms to a region's share in the EU population Region's share in the total number of publications in Computer science to a region's share in the
. 4) Computer science as defined by Web of Science classification of Research Areas Unit of observation NUTS 3 Source FP7 database by EC DG Connect (see Section 5. 2) ICT
The performance of universities and computer science faculties across the world, as reported by the QS University ranking.
measured in terms of the number of publications in the computer science research area, of the research institutions in Europe for the period 2000-2012 from the Web of Science by Thomson Reuters. For a detailed description of the data source, see Section 5. 3. 20 Company-level
and Computer science and Electronic Faculties originate from the QS WORLD UNIVERSITY RANKINGS. It was formed in 2008 to meet the increasing public interest in comparative data on universities and organisations,
of which is Computer science, additional faculty-level information is extracted for the purpose of the EIPE study.
including Computer science. This information allows us to observe the location of research and education in ICT activities at world-level.
For the purpose of the EIPE exercise, journals classified in the Computer science research area are considered.
which permits the inclusion of EIPE-relevant fields such as Computer science. This information allows us to observe the location of ICT R&d activity.
App 1 and j N i ij App App 1 All computations for this case are shown in the middle part of Table 14.
7) i ij N j Inv Invapp 1 (7')j ij N i App Invapp 1 The bottom part of Table 14 indicates all computations
Computation of measures of internationalisation of three fictitious patents P p ij ijp Invinv Inv 1 j=US j=DE j=FR i N
An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.
During the current programming period (2014 2020) of the European Regional Development Fund (ERDF), regional and national authorities should develop RIS3
For the current programming period (2014 2020), regional and national policy makers are required to develop RIS3 before investing ERDF resources in R&i (European commission, 2010b.
which they will concentrate in the upcoming programming period. Many of the activities indicated by the regions
and RIS3 priorities are ICT and computer programming; this is possibly linked to other scientific activities since RIS3 deal with R&i.
materials recoveryinformation service activitiescomputer programming, consultancy and relatedactivitiesadministrative and support service activities 19 On the other hand, priority choices could simply be based more on future plans than on existing or growing areas of activity.
and communication technologies (ICT) Computer programming consultancy and related activities Information service activities Motion picture, video and television programme production, sound recording and music publishing activities Programming and broadcasting activities Publishing activities
Telecommunications Manufacturing and industry Basic metals and of fabricated metal products Basic pharmaceutical products and pharmaceutical preparations Biotechnology Chemicals and chemical products Coke and refined petroleum
Computer programming, consultancy and related activities J. 63: Information service activities As our approach is aligned with the underlying logic of the Frascati Manual,
http://www. kabeldeutschland. com/en/presse/pressemitteilung/unternehmensnachrichten/may-31-2012. html and http://www. digitalfernsehen. de/index. php?
/q=story/european-forum-learning-futures-and-innovation 15 http://www. efvet. org/index. php?
using Extensible Markup language (XML) to express the data. It takes a life-cycle approach to data;
for the benefit of the whole community (freedom 3). Note that access to the source code is a precondition for all of these freedoms.
The collected data are stored in a SQL database maintained by WHO database administrators, and can be exported as a Microsoft excel file for further analysis using other statistical software.
and the data analysis was performed using R statistical programming language. 14 Data were analysed by thematic section. For closed-ended questions
http://eacea. ec. europa. eu/llp/leonardo/leonardo da vinci en. php http://ec. europa. eu/education/lifelong-learning-programme/doc1208 en. htm For inquiries
://www. erasmus-entrepreneurs. eu/page. php? pid=051 EU-Who do I call? 36 37 38 39 5. EU-Who do I call?
Erasmus for Young Entrepreneurs NCP http://www. erasmus-entrepreneurs. eu/page. php? cid=05 Erasmus for Young Entrepreneurs is a grant providing promising European entrepreneurs with the skills necessary to start
/18 Eurostat news release of 16 december 2013 and http://epp. eurostat. ec. europa. eu/statistics explained/index. php/Social media -statistics on the use by enterprises. 19 Data refer mostly to the year
http://sustainabledevelopment. un. org/index. php? menu=1561.25 See http://unstats. un. org/unsd/broaderprogress/progress. html. 26 Outcome Document Open Working group on Sustainable Development Goals, available at http
and is given therefore less weight in the computation of the IDI compared with the other two sub-indices. 2 The choice of indicators included in the subindices reflects the corresponding stage of transformation to the information society.
/inicio3. 0/index. php/sala-de-prensa/item/309-contrato-entel-abe and http://www. entel. bo/inicio3. 0/index. php/sala
bad harvest Ag yield/shock predictions Campaign effectiveness Social network delineated market areas Predictive algorithms to anticipate prod. churn Social network targeted marketing Post-disaster refugee reunification
a correlation algorithm could be developed to reverse engineer approximate values for these indicators, in order to estimate user numbers in between surveys,
Dealing with large heterogeneous data sets calls for algorithms that can understand the data shape
or GIGO for short, is a computer science concept that refers to the fact that the veracity of the output of any logical process depends on the veracity of the input data.
using decision-tree algorithms or other techniques. However, data cleaning itself is a subjective process (for example,
For example, the famous Google pagerank algorithm has spawned an entire industry of organizations that claim to enhance website page rankings,
diminishing the robustness of the original algorithm. For example, the enthusiasm surrounding GFT may well have created rebound effects,
Similarly, Frias-Martinez and Virseda (2012) needed census data to build their algorithms and provide training data for their algorithms to reverse engineer approximate survey maps.
Official statistics will thus continue to be important to building the big data models and for periodic benchmarking
when it comes to working with large volumes of big data calling for computer science and decision-analysis skills that are emphasized not in traditional statistical courses (Mcafee and Brynjolfsson,
algorithms and software techniques that can be repurposed for business-use cases. Indeed, where the applications of data use for development are concerned,
For computation of the final index, the ICT access and ICT use sub-indices were given 40 per cent weight each,
Index (IDI) methodology 228 Potential sources of variation or uncertainty can be attributed to different processes employed in the computation of the index,
and the countries in this group ranked low in all index computations using different methodologies. This confirms the results conveyed by the IDI. 229 Measuring the Information Society Report 2014 1 Principal component analysis was used to examine the underlying nature of the data.
Technical Guidelines',see http://www. uis. unesco. org/ev. php? ID=5202 201&id2=DO TOPIC. 6 See OECD
In terms of funding, as it is mentioned in the Romanian Partnership Agreement for the 2014-2020 programming period,
General Directorate of Protection of People with Disabilities Programming a medical consult in a hospital 1. Choosing typology hospital as needed 2. Verification of availability 3. Programming 4. Receiving confirmation 1
development and innovation and encouraging the socioeconomic exploitation of the results thereof as priorities in the 2014-2020 programming period.
as well as the delegates of the relevant managing authorities of the 2014-20 programming period. Its priority task is to harmonise the planning of S3 and the Operational Programmes.
EMMI, FM, KKM MTA), including the delegates of the managing authorities concerned in the 2014-2020 programming period.
The chart below shows the four important steps of the programming cycle: 1. Design of the intervention (e g.,
Its objective is to teach the high-level abstraction of programming as a sequence of instructions to young children in schools
(which includes Linked Data54 and SPARQL end-points55). Opening up access to an application's source code exposes that code to a relatively large number of developers,
subjecting it to rigorous critical inquiry of a pool of reviewers larger than the one proprietary developers have available to them internally.
topic-filters=11379 RESINDEX http://www. sinnergiak. org/wp-content/uploads/2014/06/cuaderno resindex cast. pdf http://www. sinnergiak. org/index. php/resindex
A Faster Algorithm for Betweenness Centrality, Journal of Mathematical Sociology 25 (2): 163-177. Clauset, A. et al.
and make products that can make a difference to their world',19 http://www. bmbf. de/en/19955. php about-city-budgets-heres
-sparql-query/56 http://www. theopeninter. net/57 http://en. wikipedia. org/wiki/Dataportability 58 http://www. w3. org/Social
http://www. nesta. org. uk/publications/standards-evidence-impact-investing 79 http://www. wikiprogress. org/index. php/Event:
and then automatically used by the systems. 4. 28 The CIP system has an inbuilt business rule processing engine based on Java technology.
NET site (www. ause. net) and ebiz. enable site (www. strategis. ic. gc. ca/sc indps/ebiz/engdoc/homepage. php.
http://legalis. net/spip. php? page=jurisprudencedecision&id article=3001#.90 Hamburg Regional Court, 03.09.2010, ref. no. 308 O 27/09;
http://www. legalis. net/spip. php? page=jurisprudencedecision&id article=2354 93 Paris Civil Court, 13.05.2009; available at:
http://www. legalis. net/spip. php? page=jurisprudencedecision&id article=2639 29 In the ebay vs. Maceo case94, the Paris Civil Court considered that ebay's activities are covered by the definition of hosting.
http://www. legalis. net/spip. php? article3144 95 High court of England and Wales, 22.05.2009,2009 EWHC 1094 (Ch;
http://www. legalis. net/spip. php? page=jurisprudence-decision&id article=2488 102 Court of cassation, Third Criminal Chamber, 29.09.2009, ref. no. 49437;
http://www. legalis. net/spip. php? page=breves-article&id article=213 111 TGI Nanterre, 24.05.2000; available at:
http://www. legalis. net/spip. php? page=jurisprudencedecision&id article=2639.144 High court of Justice of England and Wales, Queen's Bench Division, 20.04.2011;
and apply both in offline and online 180 European commission, Flash Eurobarometer 300: Retailers'attitudes toward cross-border trade and consumer protection.
and conditions of its licence agreement with independent developers of applications requiring the use of Apple's native programming tools and approved software languages to the detriment of third-party software.
http://ec. europa. eu/justice/newsroom/consumermarketing/events/digital conf en. htm 224 See Eurobarometer Flash 320,
European contract law in business-to-business transactions, 2011, available at http://ec. europa. eu/public opinion/flash/fl 320 sum en. pdf and Eurobarometer Flash 321,
http://ec. europa. eu/consumers/redress cons/docs/cons redress eu qual study report en. pdf 284 The Gallup Organization for DG Communication, Flash Eurobarometer 300, Retailers'attitudes towards cross
SG (2003) A/05684) http://www. et. gr/index. php? option=com wrapper&view=wrapper&itemid=104& lang=en Spain Transposition deadline:
(MNE (2006) 51147) http://www. likumi. lv/doc. php? id=109879&from=off 2. Pateretaju tiesibu aizsardzibas likums Legal act:
(MNE (2003) 50062) http://www. likumi. lv/doc. php? id=23309 3. Par reglamentetajam profesijam un profesionalas kvalifikacijas atzi anu Legal act:
(MNE (2004) 50177) http://www. likumi. lv/doc. php? id=26021 4. Latvijas Republikas Civillikums Legal act:
(MNE (2004) 53163) http://www. likumi. lv/doc. php? id=96619 6. Grozijumi Pateretaju tiesibu aizsardzibas likuma Legal act:
(MNE (2004) 51138) http://www. likumi. lv/doc. php? id=221390 127 Lithuania: Transposition deadline:
(MNE (2006) 58517) http://www. legi-internet. ro/index. php? id=22 132 3. Lege privind unele masuri pentru asigurarea tranparentei în exercitarea demnitatilor publice, a functiilor publice si în mediul
(MNE (2006) 58518) http://legislatie. resurse-pentru-democratie. org/161 2003. php Slovenia Transposition deadline: 01/05/2004 1. Zakon o spremembah in dopolnitvah Zakona o varstvu potro nikov (ZVPOT-C) Legal act:
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