Funding projects for Spanish public universities in research, development, and innovation related areas: Implications for resource allocation and scientific investment

  1. Choji, Thamyres T. 2
  2. Moral-Munoz, Jose A. 3
  3. Cobo, Manuel Jesús 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  2. 2 Universidad de Cádiz
    info

    Universidad de Cádiz

    Cádiz, España

    ROR https://ror.org/04mxxkb11

  3. 3 Universidad de Cádiz,
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Actas:
27th International Conference on Science, Technology and Innovation Indicators (STI 2023)

Año de publicación: 2023

Tipo: Aportación congreso

DOI: 10.55835/64426FE8A754F57011E9B9D0 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

This contribution examines the potential of integrating Science of Science, data analytics, and policy analysis to acquire insight into the scientific landscape of a country and guide the strategic allocation of government resources. We analyse 18,423 Spanish funding projects related to research, development, and innovation, specifically in public universities. The performance analysis was based on granted projects, budget, paper production and the relative specialisation index. The findings show that Chemical Sciences and Technologies and Biomedicine receive the highest number of projects, budget and have high production rates, while Computer-based Technologies also showed high production, although does not receive as much funding. In contrast, Gender and Women studies demonstrate low research output and investment. Our analysis contributes to the effective management of resources aiming to detect strengths and weaknesses points and further improving the quality and equality of science in Spain.

Referencias bibliográficas

  • Aksnes, D. W., van Leeuwen, T. N., & Sivertsen, G. (2014). The effect of booming countries on changes in the relative specialization index (RSI) on country level. Scientometrics, 101(2), 1391–1401.(https://link.springer.com/10.1007/s11192-018-2717-7)
  • Choji, T. T., Moral-Munoz, J. A., & Cobo, M. J. (2023a). Data funding projects—Spanish public universities.(https://figshare.com/articles/dataset/Data_funding_projects_-_Spanish_public_universities/22643872)
  • Choji, T. T., Moral-Munoz, J. A., & Cobo, M. J. (2023b). Heat Maps—Spanish public universities.(https://figshare.com/articles/dataset/Heat_Maps_-_Spanish_public_universities/22656988)
  • Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., Petersen, A. M., et al. (2018). Science of science. Science, 359(6379), eaao0185.(https://www.science.org/doi/10.1126/science.aao0185)
  • Gehlenborg, N., & Wong, B. (2012). Heat maps. Nature Methods, 9(3), 213–213.(https://www.nature.com/articles/nmeth.1902)
  • Mastroianni, A. C., Faden, R., & Federman, D. (Eds.). (1994). Women and Health Research: Ethical and Legal Issues of Including Women in Clinical Studies, Volume 1. Washington, D.C.: National Academies Press.(https://nap.nationalacademies.org/catalog/2304/women-and-health-research-ethical-and-legal-issues-of-including)
  • Ministerio de Educación, Cultura y Deporte. (2008, September 25). Registro de Universidades, Centros y Títulos (RUCT). Retrieved April 17, 2023.(https://www.educacion.gob.es/ruct/home)
  • Nature Index. (s.f.). Retrieved April 18, 2023.(https://www.nature.com/nature-index/)
  • Nature Index|Country/territory outputs|Spain. (s.f.). Retrieved April 18, 2023.(https://www.nature.com/nature-index/country-outputs/Spain)
  • Ochsner, M., Hug, S. E., & Daniel, H.-D. (Eds.). (2016). Research Assessment in the Humanities. Cham: Springer International Publishing.(https://link.springer.com/10.1007/978-3-319-29016-4)
  • Paulitz, T., Kink, S., & Prietl, B. (2016). Analytical Strategy for Dealing with Neutrality Claims and Implicit Masculinity Constructions. Methodological Challenges for Gender Studies in Science and Technology. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 17(3).(https://doi.org/10.17169/fqs-17.3.2469)
  • Yan, E. (2016). Disciplinary knowledge production and diffusion in science. Journal of the Association for Information Science and Technology, 67(9), 2223–2245.(https://doi.org/10.1073/pnas.2200841119)
  • Zhang, Y., Porter, A. L., Cunningham, S., Chiavetta, D., & Newman, N. (2021). Parallel or Intersecting Lines? Intelligent Bibliometrics for Investigating the Involvement of Data Science in Policy Analysis. IEEE Transactions on Engineering Management, 68(5), 1259–1271.(https://doi.org/10.1109/TEM.2020.2974761)