
Este conjunto de datos acompaña la presentación Presentación_JZP_FILUNI_SPE_28-ago-2025, expuesta en la FILUNI-UNAM-CU 28-agosto-2025, Ciudad de México, México. La presentación resume tendencias globales y regionales de la ciencia abierta, describe la metodología para identificar citas a datasets en MDC DCC y Dimensions, y muestra la evolución de publicaciones mexicanas y de la UNAM que citan datasets entre 2000 y 2025. El material parte del dataset abierto “Country, Funder, and Affiliation datasets” publicado en figshare (Hahnel, Smith & Campbell, 2024. DOI: 10.6084/m9.figshare.27900828.v1), que forma parte del reporte The State of Open Data 2024. A partir de esos datos originales se llevó a cabo un refinamiento y filtrado entre el 18 y el 22 de agosto de 2025, focalizándose en el caso de México y de la Universidad Nacional Autónoma de México (UNAM). Asimismo, expone avances de iniciativas nacionales como el Dataverse SciELO México, que desde 2023 ha comenzado a publicar datasets curados de revistas científicas mexicanas, y el SciELObservatorio, que monitorea la adopción de prácticas de ciencia abierta en 256 revistas. También se incluye una bitácora de revistas que han solicitado asesoría para su integración al programa Dataverse SciELO México, junto con las preocupaciones expresadas por los editores (carga editorial, posibles conflictos, pertinencia disciplinaria y beneficios percibidos). Finalmente, se ofrece un balance general y recomendaciones, que enfatizan la necesidad de fortalecer políticas nacionales, profesionalizar a bibliotecarios de datos, proveer infraestructura sostenible, y crear mecanismos de reconocimiento académico a la apertura de datos.
This dataset accompanies the presentation Presentación_JZP_FILUNI_SPE_28-ago-2025, delivered at FILUNI-UNAM-CU on August 28, 2025, in Mexico City, Mexico. The presentation summarizes global and regional trends in open science, describes the methodology used to identify dataset citations in MDC DCC and Dimensions, and shows the evolution of Mexican and UNAM publications citing datasets between 2000 and 2025. The material builds on the open dataset “Country, Funder, and Affiliation datasets” published on figshare (Hahnel, Smith & Campbell, 2024. DOI: 10.6084/m9.figshare.27900828.v1), which is part of The State of Open Data 2024 report. These original data were refined and filtered between August 18 and 22, 2025, focusing specifically on Mexico and the National Autonomous University of Mexico (UNAM). The presentation also highlights national initiatives such as Dataverse SciELO México, which since 2023 has begun publishing curated datasets from Mexican scientific journals, and the SciELObservatorio, which monitors the adoption of open science practices in 256 journals. Additionally, it includes a log of journals that have sought guidance for integration into the Dataverse SciELO México program, along with concerns expressed by editors (editorial workload, potential conflicts, disciplinary relevance, and perceived benefits). Finally, it offers a general balance and recommendations, stressing the need to strengthen national policies, professionalize data librarians, provide sustainable infrastructure, and create academic recognition mechanisms for data sharing.
filuni, mexico, data citaton, open science, unam, open data
filuni, mexico, data citaton, open science, unam, open data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
