The Metadata Automation DREAM Challenge invites developers, data scientists, data curators and all professionals from the data science community to develop a solution to automate metadata annotation.
Participants will be asked to submit a solution to automate metadata annotation using available research data annotations and established terminologies/ontologies like:
Edward Feigenbaum, Ph.D., will deliver the Annual NLM Lindberg-King Lecture on the origins and future of AI.
September 11, 2019 -- 2:00PM - 3:00PM | Lister Hill Auditorium, Building 38A
AI’s first wave produced many computer models of expertise, behaving at human levels of performance (and beyond) in narrow areas of intellectual and professional work. Presently, the AI field’s attention is on perception and deep learning.... Read more
Research careers often start with a student’s first laboratory experience, which is guided by a professor; these experiences can spark a lifetime quest for understanding how things work and why. Young investigators travel on this quest for learning and conduct research – as graduate and then as postdoctoral fellows – before launching an independent career, often as an assistant professor. Having the ability to connect research contributions over time, and over laboratory and institution... Read more
Registration is now open for in-person attendance at the National Cancer Institute’s (NCI) Symposium on Personal Control of Genomic Data for Research. The event will be held Sept. 26-27, 2019, in the Masur Auditorium, Building 10, on the main NIH campus in Bethesda, Md. In-person attendees are invited to submit an abstract for a poster presentation during the symposium.
The... Read more
The Office of Data Science Strategy at the National Institutes of Health recently issued a Guide Notice encouraging NIH researchers to explore the use of the Fast Healthcare Interoperability Resources (FHIR®) standard to capture, integrate, and exchange clinical data for research purposes and to enhance capabilities to share research data.
The office also issued a... Read more
Do you have an idea to help advance childhood cancer research through enhancing data sharing and use? The National Cancer Institute’s Childhood Cancer Data Initiative wants to hear from you. Whether you’re a researcher, patient, advocate, physician, parent, data scientist, or engineer, your idea can help. Our online engagement platform allows you to submit ideas under six categories, each representing a component crucial to advancing childhood cancer through enhanced data sharing and use. ... Read more
As part of the NIH Strategic Plan for Data Science, the NIH is committed to making datasets resulting from NIH investigator publications more accessible. Researchers sometimes find themselves with a requirement to share data, but cannot identify a specific repository to use. This situation often occurs when researchers have research datasets underlying publication figures and tables, or data not associated with a publication, they... Read more
The CDA will allow users to aggregate data via queries across the NCI Cancer Research Data Commons (CRDC) nodes, NCI Data Coordinating Center (DCC) repositories, and other NIH data repositories.
The CDA is a critical component of the National Cancer Data Ecosystem, a key recommendation from the... Read more
Registration is now open for the Machine Learning Multiscale Modeling (ML-MSM) Consortium meeting, “Integrating Machine Learning with Multiscale Modeling for Biomedical, Biological, and Behavioral Systems.” The meeting will be held Oct. 24-25, 2019, at the NIH main campus in Bethesda, MD, and is hosted by the Interagency Modeling and Analysis Group (IMAG) and the MSM Consortium. Meeting co-chairs... Read more
Registration is now open for the NIH/NCATS Workshop “Machine Intelligence in Healthcare: Perspectives on Trustworthiness, Explainability, Usability and Transparency” to be held on July 12, 2019 at the Neuroscience Center, National Institutes of Health, 6001 Executive Blvd, Rockville, Maryland 20852.
This workshop is sponsored by the National Institutes of Health (NIH) National Center for Advancing Translational Sciences (NCATS) and has been organized jointly with the National... Read more