Biomedical Research Employs Surveillance Tech
New Dataset Reveals Insights into Open-Source Software Use in Biomedical Research
Researchers at the Chan Zuckerberg Initiative (CZI) have created a dataset tracking mentions of open-source software in biomedical research papers. The dataset, which includes mentions in a total of 4.4 million papers, can advance science and technology research by providing valuable insights into the use of open-source software in biomedical research.
The dataset is divided into two subsets. In the first subset, the AI system found over 19 million total mentions and 1.6 million unique mentions of software in 2.5 million papers. The dataset provides a repository link for 185,000 of the unique software mentions from the first subset. In the second subset, the AI system found 48 million total mentions and 934,704 unique mentions of software in 2.9 million papers.
The dataset allows researchers to identify successful uses of open-source software in the biomedical field. By analysing the data, researchers can gain a better understanding of which open-source software tools are most commonly used and how they are being applied in biomedical research. This information can help guide future research and development efforts in the field.
While the dataset itself is not explicitly detailed in the provided search results, there are several ways to access it. To start, visitors can explore CZI’s official GitHub repositories and websites focused on their scientific software projects, such as those linked in their publications and software announcements. Additionally, some repositories or supplemental materials accompanying papers may include curated software mention datasets.
Researchers can also check CZI’s main science portal and related Biohub partner sites for any released datasets or resource pages. If the dataset you seek is part of a specific CZI initiative, such as software mentions extracted via text mining from biomedical literature, it may be published in a dedicated repository or project page. In such cases, contacting CZI directly or searching scholarly databases for associated publications may provide access.
The dataset is a valuable resource for researchers and developers in the field of biomedical research. By providing insights into the use of open-source software, it can help drive innovation and advancements in the field.
[Image Credit: Flickr user Rede Galega de Biomateriais]
References:
- Billion Cells Project
- CZI Biohub
- CZI Biohub Partners
- alevin-fry-atac
- The dataset, resulting from a project by researchers at the Chan Zuckerberg Initiative (CZI), contains valuable insights into the use of artificial intelligence (AI) and technology in biomedical research, specifically focusing on open-source software.
- The dataset, encompassing mentions in 4.4 million papers, can significantly aid medical-conditions research and health-and-wellness advancements by offering unique and compelling information about AI and software usage in the biomedical field.
- Researchers can leverage this dataset to identify successful implementations of open-source software, providing them with a deeper understanding of popular tools and their applications within biomedical research.
- By utilizing this dataset and its accompanying resources, the realm of AI, science, and technology in health-and-wellness stands to see further innovations and advancements.
