The NANO Dataset

The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.
The NANO Dataset
The Nano S&T dynamics database (Nano) developed by IFRIS collects publications and patents between 1991 and 2011 about nano S&T. One central characteristics of emerging S&T is that they do not correspond to pre-existing categorisations and require the elaboration of semantic based queries. IFRIS has developed a dynamic query gathering 1.18 million publications and 735000 priority patents. Four types of enrichments have been organised dealing with: (i) categorisation and harmonisation of institutional affiliations, (ii) geolocalisation of all authors and inventors; (iii) geographical clustering of S&T activities; and (iv) thematic clustering of S&T activities. It offers for each publication, 14 ‘main units of observation’ and 11 for patents.