| November 22, 2022 Data Science Announcements | | | | | Have you checked the ODSS Data Science Job Board?
New Postings Every Week! | | | December Data Sharing and Reuse Seminar: Drs. Roger Mark and Tom Pollard present "PhysioNet: A Quarter Century of Open Health Data"
PhysioNet is a data sharing platform that began as an outreach component for an NIH research project in 1999. Rebuilt in 2019 following FAIR principles (Findable, Accessible, Interoperable, Reusable), the platform has grown rapidly. It now serves over 55,000 registered users around the world with >30TB of data and is heavily used across research, education, and industry. | | | National Cancer Institute Hosts DataViz Micro Lab
Learn how DataViz and interactive experiences can advance iImmunooncology! Explore this question with Dr. Sheelagh Carpendale at the DataViz4Cancer Micro Lab on Dec. 1 at 3:00 pm ET.
Each 90-minute micro lab starts with an inspiring conversation between thought leaders from the Cancer Moonshot and creative visualization experts, followed by an opportunity to engage new colleagues from other fields in a fascinating discussion on the frontiers of cancer data visualization. | | | Sharing Data with National Addiction & HIV Data Archive Program: Meeting the Requirements of the New NIH Data Sharing Policy
The National Addiction & HIV Data Archive Program (NAHDAP) is a data archive at ICPSR, the University of Michigan, which facilitates research on drug addiction and HIV infection by acquiring, enhancing, preserving, and sharing data produced by research grants, particularly those funded by the National Institute on Drug Abuse (NIDA). NAHDAP staff work with researchers to safely share their data, including sensitive data, for long-term preservation and secure access by the research community. NAHDAP provides services to help grantees meet the data sharing requirements for their current NIH grants, and to help future grantees plan to meet data sharing requirements for upcoming grants, particularly in light of the new NIH Data Management and Sharing Policy.
Register by December 4, 2022 | | | AIMINGS Pilot Project Program Funding Opportunity Closes Soon!
A new funding opportunity sponsored by the AIMINGS Pilot Project Program of the National Institutes of Health (NIH) Nutrition for Precision Health's (NPH) Consortium is now open. As the AI Center for the NPH consortium, AIMINGS (Artificial Intelligence, Modeling, and Informatics for Nutrition Guidance and Systems) is developing artificial intelligence (AI), machine learning (ML), Big Data methods, and other data science approaches to better understand and improve precision nutrition.
This call for proposals seeks research projects that develop and utilize artificial intelligence and other computer-aided approaches to facilitate precision nutrition.
Proposals due: December 2 | | | NCATS Launches Bias Detection Challenge!
The National Center for Advancing Translational Sciences (NCATS) team within the NIH is launching the Minimizing Bias and Maximizing Long-term Accuracy, Utility, and Generalizability of Predictive Algorithms in Healthcare Challenge.
This challenge, with a first prize of $300,000 will further the mission of NCATS by spurring innovation in the AI bias mitigation space - both identification and minimizing inadvertent amplification/perpetuation of systemic biases. Through this challenge, NCATS hopes to see innovators create tools to foster and promote the use of predictive and social bias detection and correction in order to increase the accuracy of AI/ML algorithms utilized in the healthcare setting. | | | Generalist Repository Ecosystem Initiative Webinar Series
Join us for a series of presentations and panel discussions by generalist repositories to learn about available repository resources and best practices for sharing NIH-funded research.
Presented by the members of the NIH Generalist Repository Ecosystem Initiative (GREI): Dryad, Dataverse, Figshare, Mendeley Data, Open Science Framework, Vivli, and Zenodo.
Next Webinar is December 8! | | | NIH Announces FOA: Research Resource Center to Build an Open-Access Repository and Database for Anatomical and Physiological Correlates of Acupoints
The National Center for Complementary and Integrative Health (NCCIH) intends to solicit applications for a research resource center to build an Open-Access Repository and Database for Anatomical and Physiological Correlates of Acupoints.
Applications due November 30 | | | National Cancer Institute Releases RFI Soliciting Input on the Use and Reuse of Cancer Metabolomics Data
The NCI seeks input on best practices for cancer metabolomics data storage, management, and use/reuse. Progress in cancer research requires that data is generated via rigorous methods and reported in a complete and transparent way, both to facilitate reproducibility and allow opportunities for reuse in secondary analyses. In alignment with both FAIR (Findable, Accessible, Interoperable, and Reusable) principles and the new NIH policy for Data Management and Sharing (NOT-OD-21-013), a thoughtful assessment of how to address the data management needs of the cancer metabolomics community is critical and timely.
Responses Due December 23. | | | Implementation Changes for Genomic Data Sharing Plans Included with Applications Due on or after January 25, 2023
NIH continues to work with the biomedical research community to promote effective and responsible management and sharing of scientific data generated from NIH-funded or conducted research. In an effort to reduce the burden of duplicative reporting expectations, NIH is informing the research community of its intent to establish a single Plan submission requirement for research subject to both the NIH Genomic Data Sharing Policy (GDS Policy) and the NIH Policy for Data Management and Sharing (DMS Policy). This implementation update will take effect for Plan submission due dates on or after January 25, 2023. | | | New Notice of Special Interest: Supporting Data Sciences Research in IDeA States through the Centers of Biomedical Research Excellence (COBRE) Phase 1 Program
This NOSI's goal is to inform potential applicants of the National Institutes of Health's (NIH) interest in supporting data sciences research in Institutional Development Award (IDeA)-eligible states through PAR-22-250 "Centers of Biomedical Research Excellence (COBRE) Phase 1 (P20 Clinical Trial Optional).
Due January 30 | | | Join the challenge to develop, train, and test models to aid in predicting the susceptibility to and likelihood of developing PASC/Long COVID in patients with SARS-CoV-2 infection.
Long COVID, can affect anyone, including children, and it can develop in people who had asymptomatic, mild, or severe COVID-19. To complement the National Institutes of Health (NIH) other Long COVID research initiatives, like Researching COVID to Enhance Recovery (RECOVER), the RADx-Radical (RADx-rad) program at the NIH is launching the Long COVID Computational Challenge (L3C). NIH designed this challenge to support creative data-driven solutions that meaningfully advance the current understanding of the risks of developing PASC/Long COVID. The total prize for this Challenge will be up to $500,000.
Submissions Due: December 15
| | Office of Data Science Strategy, National Institutes of Health
Realizing an integrated biomedical data ecosystem | | | | | | |