The increasing adoption of open data practices is transforming biomedical research by enabling transparency, reproducibility, interdisciplinary collaboration, and the development of artificial intelligent driven healthcare solutions. This paper explores the benefits and challenges of open data in biomedical engineering, with a focus on the FAIR principles i.e, Findability, Accessibility, Interoperability, and Reusability, as foundational pillars for effective data sharing. While open data facilitates cost-efficient research, innovation, and educational advancement, it also raises critical concerns regarding privacy, data governance, standardization, and ethical disparities across global contexts. Through real-world case studies such as the Cancer Genome Atlas, COVID-19 data initiatives, and the Human Cell Atlas, we illustrate the impact of open data on scientific progress. We also discuss policy, infrastructure, and technological developments required to overcome current limitations and ensure responsible, equitable open science in the biomedical domain. The increasing adoption of open data practices is transforming biomedical research by enabling transparency, reproducibility, interdisciplinary collaboration, and the development of artificial intelligent driven healthcare solutions. This paper explores the benefits and challenges of open data in biomedical engineering, with a focus on the FAIR principles i.e, Findability, Accessibility, Interoperability, and Reusability, as foundational pillars for effective data sharing. While open data facilitates cost-efficient research, innovation, and educational advancement, it also raises critical concerns regarding privacy, data governance, standardization, and ethical disparities across global contexts. Through real-world case studies such as the Cancer Genome Atlas, COVID-19 data initiatives, and the Human Cell Atlas, we illustrate the impact of open data on scientific progress. We also discuss policy, infrastructure, and technological developments required to overcome current limitations and ensure responsible, equitable open science in the biomedical domain.
About the Importance of Open Data in Biomedical Research
Cesarelli G.;Franceschini S.;
2025-01-01
Abstract
The increasing adoption of open data practices is transforming biomedical research by enabling transparency, reproducibility, interdisciplinary collaboration, and the development of artificial intelligent driven healthcare solutions. This paper explores the benefits and challenges of open data in biomedical engineering, with a focus on the FAIR principles i.e, Findability, Accessibility, Interoperability, and Reusability, as foundational pillars for effective data sharing. While open data facilitates cost-efficient research, innovation, and educational advancement, it also raises critical concerns regarding privacy, data governance, standardization, and ethical disparities across global contexts. Through real-world case studies such as the Cancer Genome Atlas, COVID-19 data initiatives, and the Human Cell Atlas, we illustrate the impact of open data on scientific progress. We also discuss policy, infrastructure, and technological developments required to overcome current limitations and ensure responsible, equitable open science in the biomedical domain. The increasing adoption of open data practices is transforming biomedical research by enabling transparency, reproducibility, interdisciplinary collaboration, and the development of artificial intelligent driven healthcare solutions. This paper explores the benefits and challenges of open data in biomedical engineering, with a focus on the FAIR principles i.e, Findability, Accessibility, Interoperability, and Reusability, as foundational pillars for effective data sharing. While open data facilitates cost-efficient research, innovation, and educational advancement, it also raises critical concerns regarding privacy, data governance, standardization, and ethical disparities across global contexts. Through real-world case studies such as the Cancer Genome Atlas, COVID-19 data initiatives, and the Human Cell Atlas, we illustrate the impact of open data on scientific progress. We also discuss policy, infrastructure, and technological developments required to overcome current limitations and ensure responsible, equitable open science in the biomedical domain.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
