This dataset presents the results of a systematic literature review of the determinants related to innovation capability. Three main mechanisms evaluate this capacity: (1) Global Innovation Index published by the World Intellectual Property Organization; (2) Global Competitiveness Index 4.0; and (3) Furman et al., 2002. From previous work, 14 variables were identified as associated with these three mechanics used to assess the innovation capacity of a nation. These variables are (1) Openness to international trade and investment; (2) the percentage of R&D funded by private industry; (3) full-time R&D personnel; (4) strength of protection for Intelectual Property; (5) the percentage of R&D performed by universities; (6) utility models by origin; (7) gross expenditure on R&D, % GDP; (8) university-industry R&D collaboration; (9) expenditure on education, % GDP; 10) QS university ranking, top 3; (11) state of cluster development and depth; (12) co-inventions (co-creations); (13) scientific and technical articles (citations of patents in collaboration between university and industry); and (14) trademarks applications. This literature review comprises part of previous work published on “(DATASET) INNOVATION CAPABILITY: DETERMINANTS RELATIONSHIPS”, Mendeley Data, V2, doi: 10.17632/dj4xnpgsnm.2.

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