2026-05-08T22:16:47Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/199082024-09-27T08:36:06Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605
Repisalud
author
Rius, Cristina
author
Liu, Yiming
author
Sixto-Costoya, Andrea
author
Valderrama-Zurián, Juan Carlos
author
Lucas-Dominguez, Rut
funder
Ministerio de Ciencia e Innovación (España)
funder
Ministerio de Ciencia, Innovación y Universidades (España)
2024-07-02T12:27:17Z
2024-07-02T12:27:17Z
2024-04-18
Clin Transl Oncol. 2024 Apr 18.
10.1007/s12094-024-03468-7
1699-3055
Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico
38635076
http://hdl.handle.net/20.500.12105/19908
PURPOSE
This study has been focused on assessing the Open Science scenario of cancer research during the period 2011-2021, in terms of the derived scientific publications and raw data dissemination.
METHODS
A cancer search equation was executed in the Science Citation Index-Expanded, collecting the papers signed by at least one Spanish institution. The same search strategy was performed in the Data Citation Index to describe dataset diffusion.
RESULTS
50,822 papers were recovered, 71% of which belong to first and second quartile journals. 59% of the articles were published in Open Access (OA) journals. The Open Access model and international collaboration positively conditioned the number of citations received. Among the most productive journals stood out Plos One, Cancers, and Clinical and Translational Oncology. 2693 genomics, proteomics and metabolomics datasets were retrieved, being Gene Expression Omnibus the favoured repository.
CONCLUSIONS
There has been an increase in oncology publications in Open Access. Most were published in first quartile journals and received higher citations than non-Open Access articles, as well as when oncological investigation was performed between international research teams, being relevant in the context of Open Science. Genetic repositories have been the preferred for sharing oncology datasets. Further investigation of research and data sharing in oncology is needed, supported by stronger Open Science policies, to achieve better data sharing practices among three scientific main pillars: researchers, publishers, and scientific organizations.
eng
State of open science in cancer research.
journal article
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URL
https://repisalud.isciii.es/bitstreams/f2544d69-9a3f-45b3-a2ed-0ef8089ed5a1/download
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State of open science in cancer research_Clin Transl Oncol_2024.pdf
URL
https://repisalud.isciii.es/bitstreams/b0250903-55f1-475d-97ea-c8cfae64c177/download
File
MD5
d7beab376997c2482360d29d7a0db156
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text/plain
State of open science in cancer research_Clin Transl Oncol_2024.pdf.txt