A Lopez-Escamez JoseOlivera DianelisM. J.-E. ManuelVancauwenbergh SadiaLimaymanta CesarGonzales CelsoPeralta Maria JosefaGarcia ArelexysBallivian AndreaMeneses Grizly2026-03-222026-03-22202410.1016/j.procs.2024.11.066https://doi.org/10.1016/j.procs.2024.11.066https://andeanlibrary.org/handle/123456789/76003Introduction: Adequate research data management (RDM) improves the exchange of knowledge. Objective: To describe RDM practices in researchers of some Latin American universities. Methodology: Descriptive study carried out in two universities in Cuba, one in Peru and one in Bolivia. A survey was applied by a structured questionnaire with five dimensions (data type-format, storage-archiving, infrastructure-services, ethics-legal, accessibility-reuse). Data were coded and descriptive statistics were applied. Results: 652 researchers from Cuba (74.5%), Peru (17.9%) and Bolivia (7.6%) participated. Type and format of data: 73.9% of researchers generate their own research data, quantitative type 81.1%, in text format 87.3%, digital format 67.2%, and spreadsheets 58.0%. Data storage and archiving: over 65% report having small to medium data volume (<100 GB), 61% store data on personal computers, 29.8% store data at their institution, and 51% report losing research data. Infrastructure and services: 60% referred that data misuse is an obstacle to data sharing, suggesting improving institutional repository support. Ethical and legal aspects: 34.8% use personal or sensitive data and 65.6% do not know the legislation on research data. Accessibility and reusability: more than 60% generate reusable data, 36.2% create passwords for their research data, sharing them via email and the cloud, but data are accessible with restrictions. Conclusions: Most researchers generate quantitative data in low to medium volume in digital format, being stored on personal computers, with high risk of loss and vulnerability. There is a frequent fear of misuse of research data, low awareness of legal aspects and deficiencies in institutional repositories.enComputer scienceState (computer science)Data managementData scienceEngineering managementState of Research Data Management in Latin American Universities 2022article