Biomedical Research Employs Surveillance Tech
The Chan Zuckerberg Initiative (CZI) has recently released a dataset tracking mentions of open-source software in biomedical research papers. This dataset, however, is not explicitly detailed in the search results, and direct access instructions are not provided.
The dataset was curated using an AI system to locate mentions of software in 3.9 million open access biomedical research papers and 16.9 million papers. In the first subset of the dataset, the system found over 19 million total mentions and 1.6 million unique mentions of software in 2.5 million papers. In the second subset, the system found 48 million total mentions and 934,704 unique mentions of software in 2.9 million papers.
While the dataset itself is not directly accessible from the provided results, related CZI projects like Cogent3, an open-source software package funded partly by CZI’s Essential Open Source Software for Science Grant, are available on public platforms such as PyPI, where you can download the software and associated resources.
To access datasets or resources specifically created by CZI for tracking open-source software in biomedical research, the best approach is to:
- Visit official CZI platforms or affiliated project pages, such as the CZI Science website or CZI Imaging Institute, which share biological imaging and data tools publicly and may host related datasets.
- Monitor repositories linked to CZI-funded projects, like the Cogent3 package on PyPI, which indicates active software development supported by CZI.
- Contact CZI directly or check their public communications, data repositories, or GitHub organizations for any releases related to software tracking datasets.
It's important to note that the image accompanying this article is not related to any specific software or research mentioned in the dataset. The image is credited to Flickr user Rede Galega de Biomateriais and does not provide any additional data or insights about the dataset or the research.
This open-source software tracking dataset offers a valuable resource for researchers, allowing them to identify successful uses of open-source software in the biomedical field. By providing insights into the use of open-source software in biomedical research, the dataset can advance science and technology research, fostering collaboration and innovation.
- The Chan Zuckerberg Initiative (CZI) used AI technology to compile a data set of over 19 million mentions of open-source software in biomedical research papers, demonstrating the impact of technology on scientific research.
- In addition to the software tracking dataset, CZI-funded projects like Cogent3, a piece of open-source software, can be found on platforms like PyPI, showcasing their commitment to advancing technology in science.
- The release of this data set enriches both scientific research and technological development by offering a valuable resource for researchers, enabling them to examine and replicate successful uses of open-source software in biomedical research.
