UIC dataset
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/uic-dataset
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资源简介:
The dataset was constructed based on the World Economic Forum's Global Competitive Index (GCI) historical dataset. The data collected is anchored on four main pillars that influence university-industry collaboration performance (UIC): Higher learning and research institutes (pillar I), Government involvement (pillar II), Resources (pillar III), and Absorptive capacity (pillar IV). The dataset records 21 indicators of over 140 countries on 4 pillars of university-industry collaboration performance between 2007 and 2017. The \u201cUIC performance\u201d measured using a scale of 1-7, 1 being the worst and 7 being the best, was used as a baseline for coding the class attribute (UIC). A UIC performance score below 3 was coded as \u201clow\u201d, a score between 3 and 5 was coded as \u201cmedium\u201d, while any score above 5 was coded as \u201chigh\u201d.
提供机构:
Uzapi Hange; Monhesea Obrey Patrick Bah; Ezenwa Chike Nwanesi



