OECD Tax Database. Retrieved July 2014, from OECD: http://www. oecd. org/tax /tax-policy/tax-database. htm#C corporatecaptial
OECD, ILO, IMF and World bank Group. March 2014. Achieving stronger growth by promoting a more gender-balanced economy.
The Conference Board Total Economy Database Retrieved May 2014, from The Conference Board Total Economy Database:
http://www conference-board. org/data/economydatabase /Times Higher education. 2014, October. Times Higher education World University rankings
National Accounts Main Aggregates Database. Retrieved May 2014, from National Accounts Main Aggregates Database: https://unstats. un. org
/unsd/snaama/Introduction. asp United nations. 2014, March 25. United nations Conference on Trade and Development Statistics Retrieved May 2014, from United nations Conference on Trade and Development:
Suppose the specifications for a database product state that the product must be able to handle any
Testing the database product then requires that one test class from each equivalence class be se
Thus, when testing the database product, the following cases should be selected Test case 1: 0 records Member of equivalence class 1 and adjacent to boundary value
ï Knowledge about available sources of knowledge-databases, expertsâ-and abilities to use them "Innosupport:
Useful article about how to use databases for analogical reasoning: Special databases have been set up to support searching for useful analogies.
download PDF "Innosupport: Supporting Innovation in SMES "-4. 5. Attribute Listing page 65 of 271
documents management systems, collaboration systems and databases constitute a vital factor, which facilitates KM "Innosupport:
as well as a database of Good Practices ï the Office of Government Commerce provides information and a checklist on benchmarking
RDB database. The system also allows inventory levels to be adjusted after manual inventory level counts
and trademark databases to learn about recent technological breakthroughs, identify future partners and find out about the innovative activities of competitors.
products owned by others in any of its publications, brochures, databases or websites? Does your
and creators/owners of databases 7. 1. 7. How to obtain a DESIGN What can be registered as design
Consulting patent and trademark databases regularly is important in order to find out about recent technical developments and new technologies, identify new licensing partners or suppliers, new mar
-tres, visits and market analysis, use of patent databases (seldom used) and the acquisition of reports
The best approach may be to create a database "Innosupport: Supporting Innovation in SMES "-9. 1. Optimising and controlling the acceptance of an Innovative
ï Describe a classification of searchable databases Where? â In what ways this component offers help for the SMES
ï Build up a database from enquiries. Offering a free report on the subject of your products or
services that can be downloaded is a good way to build up a database of qualified prospects
ï Email your database regularly to keep them informed of new developments and offers. Alter
content in searchable databases that only produce results dynamically in response to a direct request.
resides in topic-specific databases ï A full ninety-five per cent of the deep Web is publicly accessible information--not subject to
ï The searchable databases on the web can be classified in twelve categories 1. Topic Databases-subject-specific aggregations of information,
such as SEC corporate filings medical databases, patent records etc. 54%from the deep web is formed by these topic da
-tabases websites) e g. http://www. 10kwizard. com/,http://www. uspto. gov /2. Internal site-searchable databases for the internal pages of large sites that are dynamically
created, such as the knowledge base on the Microsoft site (13%)e g http://www. microsoft. com /3. Publications-searchable databases for current and archived articles (11%)e g
http://www. pubmedcentral. nih. gov /4. Shopping/Auction (5%)e g. http://www. flowerweb. nl/,http://www. locateaflowershop. com
9. Calculators-while not strictly databases, many do include an internal data component for cal
General Search-searchable databases most often relevant to Internet search topics and in -formation (1%)e g. http://www. cyndislist. com
Example Database âoemarket place of experienceâoe The Gosch Consulting company (Consulting enterprise with 30 employees) has compiled a database
with the title âoemarket place of experienceâoe. It is accessible via intranet and serves as an active knowl
Databases The use of databases is a way to obtain extensive and exhaustive data, as databases include various
summaries of data, statistics, publications and other sources. Databases are available in various for -mats â in printed form (e g.,
, in library index cards and archived materials), in CDS (e g.,, the annual statistical records), or in virtual form, i e.,
, on the Internet It should be noted that the Internet is the most comprehensive and complete storage place of data
Another advantage is that databases are user friendly, because databases function exactly in the same way as the Internet search process (see the part a) Internet) â
when you open a database there is a window in which to write the key word of the information you are looking for,
and a click on the search function will enable you to look at the information found according to your key word
As numerous and very diverse databases are available, e g.,, databases containing references, publi -cations or other theoretical material,
as well as databases aggregated by companies and statistical agencies, but in order to find the required information it is advisable as the first step to use the Internet
search engine, then to select the most suitable databases and further to look into these databases for
the necessary information by applying the principle described above Example-Links International data base http://www. census. gov/ipc/www/idbnew. html
Computerized data bank containing statistical tables of demographic and socioeconomic data for 227 countries and areas of the world
Geohive â Global Statistics http://www. geohive. com /Geopolitical data, statistics on the human population of regions, countries, provinces and cities, some
choose a suitable resource for finding information â the Internet, databases, direct contact or other
Databases ï http://www. census. gov/ipc/www/idbnew. html International data base-Computerized data bank containing statistical tables of demographic
and socioeconomic data for 227 countries and areas of the world ï http://www. geohive. com
confirm, or extend the data base with experts from the selected industries like firm representatives, representatives of industry associations and cluster
recruited from a central database managed by the Commission and have fulfilled all stringent criteria with regards to business experience and competencies.
database for â innovation management performanceâ with more than 3500 quality checked datasets. While the tool and platform is owned still in majority by the EU,
United nations Economic commission for europe, Gender Statistic Database %50 45 40 35 30 25 20 15 10 5
OECD Venture capital Database, 2003 0. 80 0. 70 0. 60 0. 50 0. 40 0. 30
the use of patent databases, the valuation of intellectual property assets and enforcement. Of particular importance is
-original databases. Strengthen the teaching of intellectual property rights at universities and training institutions for entrepreneurs, engineers, scientists
OECD, ICT database and Eurostat, Community Survey on ICT usage in enterprises 2002, May 2003
Databases with linked data can strengthen the information base for policy-relevant research, but require that statistical authorities arrange access
accompanied by the creative use of information technology and proprietary databases to help customers use their products more effectively.
(The importance of acquiring and building databases as tools for adding value and defending against competitors is returned to later
volume, and its database of trip costing enables the company to accurately quote on âoetripsâ and to provide customized and traceable service.
The companyâ s most valuable asset is a complex database covering all operating parameters of every installation.
The database analyzed was the ISI âoeweb of Knowledgeâ (ISI, 2006) using the social science sub-set of indexed publications.
In addition, by getting instant feedback from their database customers provide long lists of future wants
possible to do on a local basis. Using this novel database structure, Netflix is able to provide
and coded database of proprietary cleaning formulas for specific customer needs, whether to clean egg
franchisee gets access to the database on demand when a customer need is defined. This provides the formula for the optimum cleaner components
no solution in the database for a customerâ s new problem, and the franchisee develops the answer,
the central database, where it becomes available to all franchises and adds to the intellectual assets of Chemstation.
by the continual building of a proprietary database of customer solutions adding greater value to both the franchisor and franchisees.
Chemstation database. The sharing of such information by the franchisees with the HQ is mandated by a written agreement between Chemstation and its
The database is a key asset for Chemstation and it has the necessary software and framework in place to interpret the results
The database also builds barriers against competition. For example, Chemstation solved a cleaning problem at a Harley davidson plant within its shock absorbers
if captured, may help create a proprietary database that can give the firm a competitive advantage over its rivals
productsâ performance in different contexts and developed proprietary databases that allowed them to customize use of their product to meet specific customer needs.
we analyzed the MEP database of past success stories coupled with selective interviews We reviewed a total of 689 âoesuccess storiesâ from 2002 to 2005 that were posted on the NIST
database. We found this database rather difficult to use. However, the more important issues are
concerned with both content and format. The content is written largely for the benefit of the
The current MEP database may not fulfill the purpose for which it was created, either in content
We recommend augmenting the current database with a dynamic knowledge network. See recommendation 5 for a more detailed discussion of this topic.
Recommendation 3-Analyze use of the current MEP database We recommend a web-survey of existing MEP centers to determine
â¢The current use and value of the database â¢Research to determine features and expectations of the knowledge portal
database. They are rather sterile reports that are built around standard terms, categories and data and do not really convey any of the actual âoetouchy-feelyâ attributes which are much more
such as the MEP database. There is a wealth of information that is not tailored to the user.
links to the participants and thereby become part of an ongoing and active database for future
the Gellman (1976,1982) data base identified SMES as contributing 2. 45 times more innovations per employee than do large firms.
textual/statistical analysis method to existing basic information from a Swedish database Affã¤rsdata), but a case study approach was necessary to confirm the ability of the model to
The students are selected annually via a database of at least 350 students from all over the world (mostly Swedes.
The INTERREG IVC website has a GP database, which is useful for an initial benchmark, but
database and personnel to provide professional advice to EU countries and regions, similar to the S3
INTERREG database and the URBACT database, he would search one global database ï¿ESPON65: The European Observation Network for Territorial Development and Cohesion aims to
3. 3, a capitalisation tool including an up-to-date database and personnel to provide professional advice
different innovation voucher schemes in the database 3. 4. 3 Synergies with other European Funds and Programmes
towards concrete transfer of identified good practices (already available in the ERIK database) into mainstream Structural Funds programmes in regions wishing to improve policies
The students are selected annually via a database of at least 350 students from all over the world (mostly
Figure 2. 7. Finish Innovations, the VTT SFINNO Database...125 Figure 2. 8. National (Lead Market) Themes and Practices in 2008-2010.126
Innovation database: In Finland, the Technical Research Centre (VTT) has made a path-breaking research on the
This database makes it possible to make versatile studies of the renewal of the Finnish economy and innovation environment.
and other regions utilizing the SFINNO database Source: OECD-TIP case-studies on smart specialisation. The RIS3 KEY for self-assessment at www. era. gv. at
This database makes it possible to make versatile studies of the renewal of the Finnish economy and innovation environment.
the SFINNO database is significantly richer in content and wider in scope compared to other ones abroad
The SFINNO database consists of about 4 900 innovations developed by Finnish companies, dating back
and other regions utilizing the SFINNO database  OECD 2013 125 Figure 2. 7. Finish Innovations, the VTT SFINNO Database
Source: Tekes. Futher information www. vt. fi/proj/shinno Future development for smart specialisation Current status of the specialisation and prioritisation in the region
covered in a specific bibliographic database. Since the coverage and the profiles of most bibliographic
databases are subject to yearly modifications, the measurement of regional or national scientific output always needs to be considered in relationship to the development of the database as a whole.
In order to obtain insights in a nationâ s or regionâ s publication trends, and hence its science base, over time, one thus
Databases One of the most accepted and widely used data sources for the analysis of scientific specialisations is
which is part of the Web of Science database of Thomson Reuters. Whereas critiques can be formulated regarding coverage
the multidisciplinarity of the database, its selectivity based on quantitative criteria, the completeness of the INNOVATION-DRIVEN GROWTH IN REGIONS:
Another multidisciplinary bibliographic database is Scopus. Officially named Sciverse Scopus, it is owned by Elsevier and available online by subscription.
given the lower quality of the address information in this database The successful application of the Activity Index and of RCR by scientific field strongly depends on
Databases For the calculation of the RTA and RTAN-indices, different patent databases representing different
patent systems can and may be used. Besides national patent systems from individual countries, several supranational databases are available.
In Europe, a European patent system has been established in parallel to these national systems. Data on these European patents are available from the European Patent office
Twice per year, the European Patent office publishes the PATSTAT database, covering large patent systems like EPO, USPTO, PCT, JPO,
Access to the PATSTAT database is obtained through a license agreement with EPO When calculating the relative specialisation of a country or region, a benchmark group of countries
patent databases. However, ECOOM38 and OECD39 have invested substantial efforts to regionalize patents NUTS2 and NUTS3 level), based on inventor and applicant addresses
Databases The successful application of the RCA and RCAN indices by economic sector strongly depends on
However, international databases on sectoral economic activity often aggregate many NACE or SIC codes into broad overarching sectors, such as â manufacturingâ.
The OECD Statistics on Measuring Globalisation database, the OECD databases on Structural and Demographic Business Statistics and the OECD Structural Analysis Statistics
database contain many different sector-specific indicators for economic activity, including international trade, R&d expenditures, birth and death rates, High-Growth enterprises rates, turnover, value-added
production, operating surplus, employment, labour costs and investment. Benchmark data can be obtained by summing up sectoral data over all countries in these OECD database (or over a smaller group of
benchmark countries if desired. Also Eurostat publishes ample economic data on a sufficiently detailed sectoral level.
Burnham, J. 2006), âoescopus database: A reviewâ, Biomedical Digital Libraries, Vol. 3, No. 1 Callaert, J.,B. Van Looy and C. Vereyen (2011), Descriptive Report:
database description, overview of indicators and first applicationsâ Scientometrics, Vol. 33, pp. 381-422 Glã¤nzel, W. and A. Schubert,(2003), âoea new classification scheme of science fields and subfields designed
Databases An example Baseline indicators for technological specialisations Indicators Databases An example Baseline indicators for economic specialisations
Indicators Databases An example Combining baseline indicators for specialisations in science, innovation, and economic development
Additional, sophisticated indicators Mapping interactions between science and technology Detection of emerging scientific and technological fields
database, January 2012, Brussels INNOVATION IN URBAN MOBILITY-POLICY MAKING AND PLANNING 15 SU CC
The portal uses Europeâ s largest vehicle database and provides energy consumption and emission data on vehicles as well as an online calculator
CARE-EU road accidents database, January 2012, Brussels â European Green Cars Initiative (2012: Public-Private Partnership European Green Cars Initiative
CARE European road accidents data base CIVITAS Clean and Better Transport in Cities CNG Compressed Natural gas
the SPRU innovations database revisited. Research Policy 26 (3), 19â 32 Von Hippel, E.,1987.
stock as well as a large database of potential buyers. The interplay between market demands for innovation and externalities thus push the sector towards middle to high end product markets
database of potential buyers, a large pool of actual buyers and a large product range4. The practice of subcontracting creates flexibility
exclusive access to data bases for just one company â¢Frequently, private companies collect genetic materials by appealing to
data bases in functional genomics Can one learn from the model case of the SNP (Single Nucleotide
use of the information contained in patent databases Various studies have shown that the use of patent
patent databases, copyright and other IP rights. Poor IP management skills within SMES reduce their
databases may be limited of use. This is why a number of IP offices provide value-added technological information services, turning the raw
information provided by patent databases into more workable knowledge that can be of practical use to
exploitation of IP rights, the use of patent databases the valuation of IP assets and the enforcement of IP
databases maintained by thousands of European road authorities in a standardised, non-discriminatory and transparent way
1. The Conference Board, Total Economy Database: January 2014 (total GDP EKS, labor productivity per hour worked EKS;
2. The Conference Board, Total Economy Database 3. Ibid 4. Ibid 5. Ibid 6. Mary Oâ Mahony and Bart van Ark, eds.
The Conference Board, Total Economy Database: January 2014 (Table 5 accessed April 2, 2014), http://www. conference-board. org/data/economydatabase
The Conference Board, Total Economy Database: January 2014 (total GDP EKS, labor productivity per hour worked EKS;
The Conference Board, Total Economy Database. Assuming 1. 6 percent productivity growth 21. Ibid. Assuming yearly productivity growth for EU-15 after 1995 was the actual rate for the United states
for the United states, 1947-2010â (presentation to the Final World Input-Output Database Conference Groningen, The netherlands, April 2013), 24
) The Conference Board, Total Economy Database: January 2014 (Table 5; accessed April 2 2014), http://www. conference-board. org/data/economydatabase
OECD Statextracts, Productivity Database By Industry 2012. Growth of labour productivity, in per cent, Business Services Sector;
the development of the Eye@RIS3 tool and the database 2 1. Introduction This working paper presents the first comprehensive mapping of innovation priorities and
To have listed priorities in the Eye@RIS3 database does not mean that the particular strategy or
The database contains data at NUTS1, 2 and 3 levels, since there are large variations in our sample
Regional and national innovation priorities are at the heart of the database. For each priority, we
The database also contains information on the source of each entry With regard to data quality, there are a number of caveats.
However, the database is continuously being updated with the aim of having up-to-date information. When the negotiations of Operational Programmes and the implementation
category names in the Eye@RIS3 database; we have merged these in a umbrella terms. The most
This figure is based on data from 218 regions and countries from the Eye@RIS3 database.
of all regions and countries in the database (n=198. The x-axis depicts the degree of correspondence of regional and
This figure is based on data from 218 regions and countries from the Eye@RIS3 database.
This figure is based data from 218 regions and countries from the Eye@RIS3 database. The y-axis is the share of all
regions and countries in the database (n=198. The x-axis depicts the degree of correspondence of regional and national
This working paper has presented data from the Eye@RIS3 database, an open data tool which
done and why to foster support. infodev has created also a continuously updated database to function as
A specialized type of database containing metadata, which is managed by a data dictionary system This centralized repository of information describes the characteristics of data used to design, monitor
and control data in information systems and databases; it can also refer to an application of data dictionary systems
database maintained by WHO database administrators, and can be exported as a Microsoft excel file for further analysis using other statistical software
ITU World Telecommunication/ICT Indicators database 39.2 26.3 24.9 15.8 12.7 8. 7 1. 3
ITU World Telecommunication/ICT Indicators database 162.7 124.7 109.9 108.5 96.4 89.2 69.3 0 20
ITU World Telecommunication/ICT Indicators database 27.7 16.7 14.3 9. 8 7. 7 3. 1
ITU World Telecommunication/ICT Indicators database 83.7 32.0 21.1 6. 3 0 10 20 30
ITU World Telecommunication/ICT Indicators database connectivity, because of the strong internal demand and also its location:
ITU World Telecommunication/ICT Indicators database 221 420 1'213 702 4'384 11'572
ITU World Telecommunication/ICT Indicators database 78.0 57.4 53.0 43.6 36.0 35.9 11.1 0 10
ITU World Telecommunication/ICT Indicators database 78.3 40.4 32.4 8. 0 %0 10 20 30
UNCTAD Information Economy Database, 2014, available at unctadstat. unctad. org P e rc e n
UIS database, Partnership on Measuring ICT for Development WSIS Targets Questionnaire, 2013 P e rc
UIS database, Partnership Questionnaire on WSIS Indicators, 2014 Proportion of teachers trained to teach basic computer skills (or computing
IMF World Economic Outlook Database, April 2014 12 Source: The Economist, April 12 2014, âoenigeriaâ s GDP step changeâ
ITU World Telecommunication/ICT Indicators database 33 35 36 38 40 110 75 87 105
ITU World Telecommunication/ICT Indicators database have access to mobile broadband at speeds of at
ITU World Telecommunication/ICT Indicators database 0. 0 0. 1 0. 3 1. 0 2. 5
ITU World Telecommunication/ICT Indicators database 91.5 88.1 97.2 96.4 0 10 20 30 40
ITU World Telecommunication/ICT Indicators database 0 20 40 60 80 100 120 140 160
ITU World Telecommunication/ICT Indicators database 2012 2013 P e r 1 0 0 i
ITU World Telecommunication/ICT Indicators database 2012 2013 P e r 1 0 0 i
ITU World Telecommunication/ICT Indicators database 2012 2013 P e r 1 0 0 i
ITU World Telecommunication/ICT Indicators database World Developed 0 10 20 30 40 50 60
ITU World Telecommunication/ICT Indicators database 0 10 20 30 40 50 60 70 80
Data for the United states and Sweden are sourced from the OECD Database on Income Distribution
Household disposable income for OECD countries and the Russian Federation based on data from the OECD Database on Income Distribution
Household disposable income for OECD countries and the Russian Federation based on data from the OECD Database on Income Distribution
Equivalized household disposable income for OECD countries and the Russian Federation based on data from the OECD Database on Income
per capita, and figures from the OECD Database on Income Distribution are equivalized using the square root scale
ITU Tariff Policies Database 2013 (ICTEYE http://www. itu. int/net4/ITU-D/icteye 48 For a detailed description of the ITU ICT Regulatory Tracker, see www. itu. int/tracker
can make use of public and private databases and bigâ data analytics to improve public
which links various databases and identifies ineligible recipients to avoid wrong payments and reduce waste and fraud4 (The White house
to other (administrative) databases in order to Box 5. 9: Using mobile big data and mobile networks for implementing surveys
/11 ITU World Telecommunication/ICT Indicators database, 17th edition, 2014, available at http://www. itu. int/en/ITU-D/Statistics/Pages/publications/wtid. aspx
A Survey of Big data Definitions, 2. Databases. Retrieved from http://arxiv. org/abs/1309.5821 Waverman, L. and Koutroumpis, P. 2011), Benchmarking telecoms regulation:
ITU World Telecommunication/ICT Indicators database Annex 3. Statistical tables of indicators used to compute de IDI
ITU World Telecommunication/ICT Indicators database Annex 3. Statistical tables of indicators used to compute de IDI
ITU World Telecommunication/ICT Indicators database Annex 3. Statistical tables of indicators used to compute de IDI
Data base Consolidation of Knowledge Operative Council for Cyber security (COSC responsible All Ministries offering public services Ministry of Interior
databases Target: To be defined based on Appendix 5 Methodology Collection of data from multiple sources ï Paper document (physical
using Big data databases Target: To be defined based on Appendix 5 Methodology Educate teachers on ICT technologies Ministry of Education
Promoting open database as an opportunity for informal education Provide trainings on the methodology of developing digital skills
using Big data databases Target: To be defined based on Appendix 5 Methodology #of digitized units of Achieve the minimum contribution to
Promoting open database as an opportunity for informal education Provide trainings on the methodology of developing digital skills
using Big data databases Target: To be defined based on Appendix 5 Methodology Field of action 3 â
Construction of Data base with relevant information Operational Consolidating, at the level of the competent authorities, the potential
reduction of duplication of databases existent in the public institutions, of web portals used in the interaction
using on hand database management tools or traditional data processing applications. There's nothing new about the notion of big data,
databases as an opportunity for informal education Enabler Provide trainings on the methodology of developing digital
level of a database regarding public properties, in view of favoring the identification of future sites for networks and
3. Registration in the database of a library Low ï 11309 libraries in 2012 Source:
recorded in the data base of ANOFM 2. Submitting a resume 3. Selecting the areas of interest
and Databases Marriage 1. Making an appointment at the registry office 2. Presenting the necessary
Data databases direct direct direct direct indirect indirect indirect indirect indirect indirect indirect %individuals using the internet
Data databases direct direct direct indirect indirect indirect indirect indirect indirect indirect indirect %of data registries identified and
Data databases direct direct direct indirect indirect indirect indirect indirect indirect indirect indirect #of digitized units of cultural
Data databases indirect indirect direct direct direct indirect indirect indirect indirect indirect indirect %SMES which receives orders online direct direct indirect direct indirect direct direct direct indirect indirect indirect
Overtext Web Module V3.0 Alpha
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