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Este dataset compila datos cuantitativos de encuestas internacionales (2018-2024) sobre actitudes de investigadores académicos hacia la ciencia abierta y la compartición de datos. Incluye cinco dimensiones analíticas clave:

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  1. Disposición a compartir datos por disciplina: porcentajes de investigadores que comparten datos abiertamente, desglosados por área de conocimiento (humanidades, ciencias sociales, biomédicas, tecnológicas, ciencias naturales). Datos de estudios en Lithuania/Finland (N=671), Países Bajos (2024) y encuesta global Elsevier (2023).
    2. \n
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2. Conocimiento y uso de repositorios: tasas de conciencia y uso activo de Zenodo, Dataverse, OSF, Figshare, Dryad y GitHub. Fuentes: State of Open Data 2023 (N>6000, Figshare/Digital Science), PLoS ONE Germany 2020 (N=995).

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3. Barreras percibidas: ranking de obstáculos citados por investigadores, incluyendo cuestiones legales/éticas (35.9%), falta de reconocimiento (70%), esfuerzo/tiempo (55%), privacidad (42%), propiedad intelectual (28%) y falta de habilidades (33%). Desglose por disciplina incluido.

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4. Experiencia previa en publicación de datos abiertos: tasas por etapa de carrera (PhD, postdoc, investigador senior, profesor). Fuente: State of Open Data 2023 y Essex Repository Study.

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5. Apoyo a mandatos de ciencia abierta por región: Europa (82%), Norteamérica (70%), Asia (60%), América Latina (52%). Creencias sobre impacto en citas (~70% cree que aumenta).

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Columnas del dataset: Table, Category, Subcategory, Variable, Value_Pct, Value_N, Sample_Size, Year, Region, Study_Source, Notes.

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Relevancia: Datos alineados con políticas internacionales de open science (UNESCO 2021, Plan S, FAIR principles) y agenda de reproducibilidad científica.

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