Institutional and Bibliometric Data on Creative Economy Governance: Culture-Heritage, Trade-Development, and Copyright-IP
Description
This dataset provides the reproducibility materials for the study “When Intersection Becomes Derivation: Culture, Trade, Intellectual Property, and the Governance of the Creative Economy.” The study examines a persistent problem in creative economy research and policy: creative activity is routinely observed and governed through adjacent institutional domains—culture and heritage, trade and development, and copyright and intellectual property—without a settled independent classificatory basis for the Creative Economy itself. The dataset supports an integrated institutional–bibliometric design. It documents the analytical procedures used to examine how UNESCO, UNCTAD, and WIPO classify, measure, and govern creative economic activity, and how comparable distinctions are reproduced in scholarly discourse. The deposited materials include the bibliometric search strategies, lineage definitions for Culture-Heritage, Trade-Development, and Copyright-IP, screening and deduplication procedures, keyword-normalization rules, institutional coding framework, and derived analytical outputs underlying the study’s tables and keyword co-occurrence networks. Where licensing restrictions apply, proprietary Scopus records are not redistributed; instead, the repository provides the procedures and derived materials necessary to understand and reproduce the analytical workflow. The study’s empirical contribution is to distinguish substantive intersection from categorical equivalence. Its findings show that the three lineages capture legitimate but different dimensions of creative economic activity and remain only partially integrated in both institutional and scholarly structures. This evidence supports the study’s theoretical argument that culture, trade, and intellectual property should be treated as institutional intersections with the Creative Economy rather than as parent categories from which it is derived. The study further proposes an independent boundary principle for the field: Creative Economy is defined as an economic system in which creative transformation is the primary productive mechanism through which imagination, ideas, meaning, aesthetics, knowledge, and experience are converted into scalable and transferable forms of value across physical and digital environments. The deposited materials are intended to enable scrutiny, replication, extension, and comparative application of this framework across countries, institutions, and future creative economy classifications. This repository is therefore designed not only as supplementary material to a single article, but as a transparent empirical foundation for further research on creative economy classification, policy-domain construction, global governance, and the development of independent creative economy measurement systems.
Files
Steps to reproduce
To reproduce the analyses reported in the study, begin with the source files contained in data_raw, which preserve the original records used to construct the bibliometric corpus. Apply the study’s screening criteria and lineage definitions for Culture-Heritage, Trade-Development, and Copyright-IP, then remove duplicate records while retaining lineage membership so that publications appearing in more than one search remain identifiable. Use the screening-support files in the repository to document and verify inclusion decisions. screening_review_needed.csv contains records requiring closer assessment, triage_spot_check_sample.csv provides the sample used for screening-quality checks, and review_tier_journals_ranked.csv records the journal-level review prioritization used during corpus refinement. The resulting cleaned and lineage-tagged records are stored in data_processed. From this processed corpus, reproduce the descriptive bibliometric outputs by calculating: (1) the total number of unique records; (2) records belonging to each lineage; (3) publication counts before 2010 and from 2010 onward; (4) exact single-, double-, and triple-lineage membership; and (5) pairwise overlap among the three lineages. For keyword analysis, use the processed keyword fields after applying the study’s normalization rules for singular/plural forms, spelling variants, and unambiguous abbreviations. Construct separate normalized keyword co-occurrence networks for each lineage. Node size should represent keyword occurrence within the respective lineage, while links represent keyword co-occurrence. Network clusters should be interpreted within each lineage only and not compared by color across networks. The reproduced tabular results should correspond to the materials in output_tables, including corpus composition and cross-lineage membership. The reproduced network visualizations should correspond to the materials in output_figures. Institutional analysis should be reproduced separately using the coding framework described in the article: institutional mandate, domain vocabulary, boundary principle, measurement architecture, and policy function. UNESCO, UNCTAD, and WIPO documents should be coded independently before comparing institutional trajectories. Because raw Scopus records may be subject to database licensing restrictions, redistribution and reuse should comply with the applicable Scopus terms of access.