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Planning and Development of the Basic and Fundamental Research Performance Information System (2013)

[Customer]

-  National R&D Project Information Management Agency


[Key Objectives]

-  Build a Knowledge Map* to allow entrepreneurs (general public), researchers, and policymakers to easily and efficiently search and utilize the key performance information generated from basic and fundamental research projects.

Knowledge Map: A visual network representation of the relationships between knowledge and information, created by effectively analyzing and processing useful information hidden or latent within data.


[Key Activities]

Data)

-  Project Information

-  Executing Organization/Personnel Information

-  Performance Information (Performance Reports)


Knowledge Map Modeling)

Knowledge Map Name

Node

Ling

Remarks

Performance Map

Performance Report

Similarity Between Performances

Similarity Between Performances is derived by considering researchers, businesses, and policymakers, taking into account both the similarity of the classification system of the performance and the similarity of the included keywords.

Keyword Map

Researcher Input Keywords

Keyword Co-occurrence Frequency

Integration of Korean and English

Topic Classification Map

Science and Technology Standard Classification
Korean Standard Industrial Classification
Application Fields Classification

Similarity Between Classification Codes Mediated by the Performance Report

Science and Technology Trend Linkage Map

Science and Technology Standard Classification (Major Category)
Science and Technology Standard Classification (Subcategory)

Co-occurrence Count Between Topic Classifications

Expert Map by Field

Researcher

Researcher-Topic Relevance

Researchers by Field: Similarity between a researcher's research field and a specific research field derived from recommendations and performed results.

Expertise: The number of researchers recommended.


      -  Performance Map: Identifying General Relationships Between Performances


      -  Keyword Map: Identifying the Scope and Semantic Relationships of Research Fields


      -  Topic Classification Map: A map for identifying the dimensional relationships between the production and utilization of outcomes and related industries.


      -  Science and Technology Trend Linkage Map: Provides information on the linkage trends between scientific and technological fields based on the Science and Technology Standard Classification.


      -  Expert Map by Field: Supports decision-making in the selection of experts.


 [Expected Benefits]

-  By identifying the connection structure between the results generated from the search, it helps determine the priority for further searches, effectively supporting knowledge exploration.

-  Provides relevant information and indicators suitable for science and technology research planning, evaluation, investment, and policy development.


Photo: Pinterest by JMYO

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