Declaration DORA

The International Journal of Computational Innovations, Intelligent Systems and AI (CISAI), ISSN 3084-7907, endorses the San Francisco Declaration on Research Assessment (DORA) as part of its ethical framework and editorial policies.

In line with the principles of Open Science and Open Access, CISAI promotes scientific evaluation models based on the intrinsic quality of contributions, prioritizing methodological rigor, originality, and the relevance of content over traditional bibliometric indicators.

DORA, established in 2012 during the annual meeting of the American Society for Cell Biology, serves as an international benchmark aimed at transforming research evaluation mechanisms. Its cross-disciplinary approach engages editors, institutions, funding agencies, and researchers, fostering fairer, more transparent, and responsible practices across all fields of knowledge. In this context, the journal implements policies designed to ensure rigorous, objective, and internationally aligned evaluation. Key editorial guidelines adopted by CISAI include:

  • Avoiding the use of journal impact factor as a primary measure of scientific quality.
  • Incorporating article-level metrics to enable more granular assessment of impact.
  • Adopting the CRediT taxonomy to accurately identify author contributions.
  • Depositing metadata and references in open systems such as Crossref to ensure accessibility.
  • Promoting the availability of research data in accordance with FAIR principles.
  • Applying best practices in data citation and management.
  • Encouraging the use of persistent identifiers, including ORCID for authors.
  • Implementing rigorous and transparent peer review processes.
  • Promoting policies that enhance diversity, equity, and inclusion in the editorial process.

Consequently, the adoption of DORA by the CISAI editorial team aims to reinforce its commitment to a scientific evaluation model that is more equitable, transparent, and focused on the intrinsic quality of the knowledge produced. This approach strengthens the journal’s position and diversity in disseminating research in artificial intelligence, intelligent systems, and computational innovation, contributing significantly to the consolidation and advancement of the international scientific ecosystem.