Data and Software

Over the past years researchers at RIERC has developed various data sets. The first set of data documents interregional knowledge network linkages of co-patenting, research collaborations and co-authorships. The second set of data reflects entrepreneurship at the national and regional levels via the GEDI

and REDI indices. We make also available here a software that calculates the values of the ENQ (Ego Network Quality) index that measures the knowledge accessible from any the nodes of a network.

 

Data

Interregional co-inventorship network data

 

This dataset contains patent network between European NUTS2 regions between 2000 and 2010, based on co-inventorship data provided by OECD, as described in Sebestyén and Varga (2013). The data contains weighted adjacency matrices for all years and for selected European regions in three fields: ICT patents as classified by the Eurostat, QOL patents as classified by the algorithm described in

Sebestyén and Varga (2013) and nuclear research. Link weights are defined according to the number of co-invented patents between regions. Data is available in Matlab’s .mat data format. For further information please contact Tamás Sebestyén. Download .mat

 

Interregional research collaboration (FP) network data

 

This dataset contains the collaboration network between European NUTS2 regions between 2000 and 2010, based on Framework Program participation as described in Sebestyén and Varga (2013). The files contain weighted adjacency matrices separately for all years for selected European regions and for three thematic areas:

information science and technology, quality of life and nuclear research. Link weights are defined according to the number of projects involving institutions from different regions. Data is available in Matlab’s .mat data format. For further information please contact Tamás Sebestyén. Download .mat

 

Co-authorship networks in neuroscience

 

This is a dataset which contains the co-authorship network of scholars in neuroscience between 1974 and 2013. The data contains weighted adjacency matrices for all years based on co-authorship data extracted from the Scopus database. The file contains weighted adjacency matrices separately for all years for the top 1% of authors in the field as described in Sebestyén, Varga and Hau-Horváth (2016).

Link weights are defined according to the number of co-authored papers between two scholars. Data is available in Matlab’s .mat data format. For further information please contact Tamás Sebestyén. Download .mat

 

Global Entrepreneurship Index (GEI)

 
 

Since its initiation in 2008, the Global Entrepreneurship Index (GEI) research has addressed two important questions: (1) why an individual chooses to become an entrepreneur while others do not and (2) why entrepreneurial activities differ across countries. While academic research has mostly focused on characteristic variation across individuals there is much less evidence about measurement of entrepreneurship at the country level. The first version of the GEI, initially named as Global Entrepreneurship and Development Index (GEDI) was published in 2009 (Acs and Szerb 2009) followed by yearly reports in a book format since then (Acs and Szerb 2011, 2012; Acs, Szerb and Autio 2013, 2014, 2015, 2016).

Since its introduction the GEI has gone through many smaller changes. In 2016, the GEI has been extensively reviewed and renewed. The rationale behind the new index structure is to include such variables that have been missing from the original Global Entrepreneurship and Development Index (GEDI), in particular capturing the effect of regulation, taxation, labour market, knowledge institutions and finance to in-crease the sophistication of the GEI by the introduction of additional institutional variables. For further information please contact László Szerb (szerb@ktk.pte.hu). Download GEI Dataset 2006-2015

 

Regional Entrepreneurship and Development Index (REDI)

 

Entrepreneurial dynamics in regions are complex and refer to a multidimensional process and their understanding requires a holistic approach. In order to measuring entrepreneurship on regional level, the Regional Entrepreneurship and Development Index (REDI) has been created. The REDI Index can provide important guidance for creating conditions in which the region’s entrepreneurial dynamics operates efficiently. It can be used as a platform that facilitates the design of effective tailor-made development policies in regions. The original version of the REDI Index was elaborated between 2012 and 2014, and it was employed characterizing the entrepreneurial ecosystem of 125 EU NUTS regions (Szerb et al. 2014, Komlósi et al. 2015). The structure of REDI Index has been reviewed and the dataset has been extended in 2016 in the frames of FIRES project.

The rationale behind the new REDI Index structure is to include such variables that have been missing from the original structure. In particular capturing the effect of property rights, industrial specialization, labour market regulation, taxation and knowledge institutions to increase the sophistication of the REDI Index by the introduction of additional institutional variables. The dataset was extended not only by new indicators, but by new time period as well. The extended dataset includes values from 2007 to 2014 in two time periods (2007–2011 and 2012–2014). For further information please contact László Szerb (szerb@ktk.pte.hu). Download REDI Dataset 2007-2014

 
 

SOFTWARE

Ego Network Quality calculator

 

This is a package of files which are designed to calculate ENQ values given a network structure and knowledge levels as described in Sebestyén and Varga (2013). The package works under Matlab and

operates on a limited network size of at most 50 nodes. For further information please contact Tamás Sebestyén. Download

 

 

 

Regional Innovation and Entrepreneurship Research Center

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