Science-Society Value Creation Components and Archetypes

Supporting information for the study 'A value creation model from science-society interconnections: Components and archetypes' provides data for analyzing reciprocal knowledge flows. The dataset likely contains measures of nine value components derived from four research-related knowledge processes: production, translation, communication, and utilization. It enables an exploratory empirical study to discern archetypes that structure science-society interconnections across major scientific fields.

Use Cases

• Identifying archetypes of science-society interconnections based on nine value components.
• Mapping research topics to distinct value creation archetypes across scientific fields.
• Analyzing the distribution of knowledge processes (production, translation, communication, utilization) in research valorization.

Strengths

• Dataset is associated with a peer-reviewed conceptual model published in an academic study.
• Data is released under an Open Access (green) license, facilitating reuse.
• Cross-platform presence on PapersWithCode signals its use in reproducible research.

Limitations

• Critical metadata is missing: row count, column names, file formats, and last update date are unknown.
• The dataset description is sparse, focusing on the paper's abstract rather than the data's structure.
• Scale and documentation gaps limit immediate usability without consulting the original study.

Provenance

Source

Irene Ramos-Vielba, Aarhus University

Collection Method

Data protocol and datasets used for the cited academic study; specific collection method not detailed.