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F1000Research recently partnered with the data visualization organization Plotly to enable researchers to include interactive figures in their published articles, and would like to know your opinions about using interactive figures for presenting your group's research.
Want to learn about RRIDs (Research Resource Identifiers)? Join NIF (Neuroscience Information Framework) webinar presented by Drs. Anita Bandrowski and Maryann Martone this coming Friday on September 15, 2017!
The workshop’s sessions will explore ways with which in vivo “precision modeling”, next-generation animal models and phenotyping platforms can catalyze and accelerate the advent of precision medicine.
dkNET provides updates on activities of interest to the NIDDK-supported community. Check out September, 2017 events and announcements!
NIH NIDDK has announced new funding opportunities: Catalyst Award in Diabetes, Endocrinology and Metabolic Diseases (Catalyst-DEMD). Letter of Intent due date: Jan. 2, 2018. Application due date: Feb. 2, 2018.
NIH Common Fund Metabolomics Program has announced new funding opportunities, including National Metabolomics Data Repository (NMDR) (U2C), Metabolomic Data Analysis and Interpretation Tools (U01), Compound Identification Development Cores (U2C), and Stakeholder Engagement and Program Coordination Center (SEPCC) (U2C).
dkNET provides updates on activities of interest to the NIDDK-supported community. Check out August, 2017 events and announcements!
The Chan Zuckerberg Initiative invites applications to develop computational tools, algorithms, visualizations, and benchmark datasets in support of the Human Cell Atlas. Participants in this project will collaborate with each other and with Chan Zuckerberg Initiative scientists and engineers to accelerate progress, facilitate communication, and maximize open dissemination of the resulting tools.
The BD2K Training Coordinating Center (TCC) has developed the Data Science Rotations for Advancing Discovery (RoAD-Trip) program to specifically foster new collaborations among junior biomedical researchers and senior-level data scientists to address the challenge of translating complex data into new knowledge. Application due date: Sep. 16, 2017.
The Common Fund’s High-Risk, High-Reward Research program was created to accelerate the pace of biomedical discoveries by supporting exceptionally creative scientists with highly innovative research. The program seeks to identify scientists with high-impact ideas that may be risky or at a stage too early to fare well in the traditional peer review process. The program encourages creative, outside-the-box thinkers to pursue exciting and innovative ideas in any area of biomedical research relevant to the NIH mission.