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Replication Data for Methodologies in Artistic Research and Expanded Painting

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NIAID Data Ecosystem2026-05-02 收录
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https://doi.org/10.7910/DVN/KEEXM2
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This dataset presents a comprehensive table outlining methodological frameworks used in artistic research, with a specific focus on the expanded field of painting. It explores transdisciplinary approaches, comparing methodologies from artistic practice, art-based research, and scientific inquiry. The dataset is designed to serve as an open educational resource (OER) for educators, researchers, and students in the arts, offering insights into the integration of research methodologies into creative practices. The content was developed as part of pedagogical initiatives within courses such as Painting 1 and Cultural Politics (Polítiques Artístiques i Culturals) at the Faculty of Fine Arts, University of Barcelona. The dataset aims to foster critical thinking, enhance creativity, and provide tools for research-based learning, while promoting innovation in artistic education and the expanded field of painting.
创建时间:
2024-12-03
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