Ballivian Blanco, Andrea

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Ballivian Blanco, Andrea

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    Development of a culture on Research Data Management: experiences from the international RDMS-LatAm Project
    (euroCRIS, 2024-05-17)
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    Research Data Management is based on the so-called FAIR Principles of data, whose fundamental objective is to make data freely findable, accessible, interoperable and reusable, thus encouraging the adoption of these principles by institutions has become a standard of Best Practices. Universities, in their role as teaching and research centers, should embrace such principles in order to develop science of higher quality, accessibility, visibility and impact. RDMS-LatAm identifies the project entitled: "Development of a Strategy for Research Data Management in Higher Education and Scientific Institutions within the Latin American context". An initiative that has brought together the Universidad Central "Marta Abreu" de las Villas (Cuba) as coordinator, Universidad Nacional Mayor de San Marcos (Peru), Universidad Católica de Bolivia “San Pablo” and the University of Hasselt (Belgium), with the support of VLIR-UOS (Belgium). The objective of this project is: "To develop capacities to adopt good practices on Research Data Management in the Latin American context". So far, RDMS-LatAm's actions have allowed the development of diagnostics on data management in member universities, the elaboration of policy proposals, the training of teachers, researchers, librarians and undergraduate and graduate students, as well as the development of a new instrument to identify research data management practices in the institutions. In addition, collaborative relationships have been established with other centers that can benefit from the results achieved.
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    State of Research Data Management in Latin American Universities 2022
    (euroCRIS, 2024-05-17)
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    Introduction: Adequate research data management (RDM) improves the reliability of knowledge. Objective: To describe RDM 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 means of 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 the 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.