Cancer Data Science Pulse

The Cancer Data Science Pulse blog provides insights on trends, policies, initiatives, and innovation in the data science and cancer research communities from professionals dedicated to building a national cancer data ecosystem that enables new discoveries and reduces the burden of cancer.

The data science community is awash with "FAIRness." In the past few years, there has been an emerging consensus that scientific data should be archived in open repositories, and that the data should be Findable, Accessible, Interoperable, and Reusable.

I recently joined NCI to help support strategic data sharing and informatics projects within the Center for Biomedical Informatics and Information Technology (CBIIT). Having worked on information management at another Institute for five years and the trans-NIH Big Data to Knowledge (BD2K) initiative since its inception, this is an exciting opportunity for me to continue to contribute to enhancing data science across the biomedical community.

Biomedical research is evolving with an increasing emphasis on data science, e.g., data integration and storage, data privacy and security, data analytics and data representation, driven by the transformative technologies that have become the currency of genomics in precision medicine. In spite of numerous "beachhead" successes, however, the gap between data and clinical utility continues to grow.

In recent years, genomics has been described as a big data science on par with the likes of Twitter, YouTube, and the scientific pursuit of understanding the universe.

Precision medicine has quickly moved to the forefront of clinical research and practice, and is particularly pertinent to cancer since cancer is a disease of the genome. The need to accelerate discovery in cancer research has been further propelled by the Beau Biden Cancer Moonshot, challenging the community to make a decade's worth of progress in five years.