ReseauLu solution for heterogenous data analysis
Process diagram illustrates main steps from primary data collection and management to analytical results ready for decision making. A set of integrated tools taking part of Reseaulu system or/and third party software could manage a complete chain of data transformation and analysis.
Back Office: complete project management systems including online forms, multilingual questionnaires, data base management tools, organization profiles and partnership networks. These solutions can be adapted to intranet and suited to corporate internet profiles. Additionally we offer web crawler, news grabber, scientific literature, patents, blogs and data merger utilities.
Middle Office: predefined analytical queries and models of an algorithmic nature. These utilities are specifically adapted to heterogeneous data and multivariable analysis, segmentation and automated data classification. Implementation of statistical and structural algorithmic data analysis is strongpoint of Aguidel systems.
Front Office: a set of flexible and dynamic tools which bring your data to life. Put simply, our visualization tools help you to see and understand vast amounts of data at a glance. By giving you the ‘big picture’ in an intelligible format, Aguidel visualization make clear the important hidden relations between elements which one cannot afford to miss.
Applications for strategic management of research and innovation
Crucial questions related to management of research institutes or research policy we can resolve :
- What are strengths and weaknesses of the research, their main areas of expertise and areas of excellence;
- How are articulated the interactions between the different units and the different areas of excellence;
- How is the institute positioned in comparison with other universities and research centres;
- How is the instituteinstitute positioned and Integrated of to the European or international context ;
As well as
Who are the principal actors involved in research programs (laboratories, businesses, people, government agencies)?
How to evaluate the quality and coherence of research units?
Who has already published on the research subject? What patents have been filed in the field ? What is the current regimentation in use?
What are the major events in the research field?
What are the businesses currently active in the field?
Strategic management of partnership networks (be they academic, industrial governmental, inter or intra-disciplinary)
Strategic choices of cluster vs. network management
Following data collection and data analysis strategies will help to respond these questions.
1. Analysis of structure and dynamics of research laboratories or Institutes
Data: Web of Science, PubMed or specific data bases
Methods: extraction of data by names and affiliations; matching and cleaning of data; statistical, relational and GIS analysis
Results: lists of authors by number of citations, number of publications; mapping of collaborative networks of authors, institution, countries or thematic analysis; mapping of heterogeneous networks (from different data types) such as authors/thematic analysis, research units/thematic analysis, country/thematic analysis; aggregated performance analysis of research teams, labs, departments, projects; time evolution analysis
.
2. Positioning of Institutes or Laboratories in regional, national and International Context
Data: Web of Science, PubMed or specific data bases
Methods: extraction of data by names, addresses, affiliations; matching and cleaning of data; statistical, relational and GIS analysis, textual analysis (titles and abstracts), keywords extraction, emergence, specificity,
Results: comparative analysis of performances, regional, national, European and Global evaluation of partnerships, Executive partnership search
3. Strategic analysis of research fields
Data: Web of knowledge, PubMed or specific data bases
Methods: extraction of data by names and affiliations; matching and cleaning of data; statistical, relational and GIS analysis, textual analysis (titles and abstracts), keywords extraction, emergence, specificity,
Results: emergent subfields at regional, local, national, European and Global evaluation of partnerships, executive search; strategic diagrams
4. Media analysis
Data: news, web sites, blogs, newspaper articles archives
Methods: analysis of media; mapping of controversies; relational analysis; textual analysis
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