RADx Data Hub Further Enhances COVID-19 Data Access and Analysis Capabilities

Tuesday, August 13, 2024

Data from the COVID-19 pandemic can enable greater understanding of disease spread, rapid global emergency response efforts, health disparities, disease forecasting, and beyond. However, researchers need to be able to easily access and analyze this data to build more efficient and effective processes for the future. The National Institutes of Health (NIH) Rapid Acceleration of Diagnostics (RADx®) Data Hub is allowing researchers to do just that.

The recently upgraded RADx Data Hub has emphasized design and functionality changes that streamline support for researchers hoping to access data that can help inform responses to future global emergencies and improve our understanding of healthcare and access disparities.

The NIH RADx Data Hub, which provides access to RADx investigator-collected datasets, is a key component of the NIH RADx Initiative. Since the RADx Data Hub’s launch in December 2022, it has supported de-identified, curated, and harmonized secondary COVID-19 dataset use, while also providing tools to analyze infection and mortality disparities across communities and settings.

These functions have helped researchers understand many aspects of the pandemic, but the newly enhanced RADx Data Hub (https://radxdatahub.nih.gov/) provides researchers more dynamic access to explore data from over 150 RADx Radical, RADx-Underserved Populations, RADx-Tech, and RADx Digital Health Technologies studies. Researchers also gain access to a more robust analytics platform, with tools such as Jupyter notebooks, R, Python, and SAS Viya.

Important new capabilities allow researchers to:

  • Perform study searches and discover study overviews without having to create an account or log in 
  • View extensive and informative metadata for research planning
  • Request access to advanced analytical tools such as Data Wrangler and SAS Viya
  • Access a more streamlined, cloud-based analytics workbench
  • Use a more intuitive interface with extensive documentation for audiences with differing levels of experience
  • Download approved data without creating a cloud-based workbench

Researchers can now use powerful features to reimagine the pandemic data landscape, forever changing what we can do and learn with existing RADx data, forging new collaborations and build a community to accelerate scientific research and innovation. This data collection and built-in tools will inform future work on global pandemic concerns (for COVID and beyond), improving our ability to responds to morbidity and mortality disparities in underserved and vulnerable populations and innovate on existing and new testing technologies and digital health solutions.

I hope new researchers may be interested in using this powerful platform and joining the RADx Data Hub Community. I encourage you to share this news with anyone studying COVID-19 or beyond. You can learn more about the RADx Data Hub by registering for Office Hours, signing up for the newsletter, and reaching out to the Data Hub Partners for a demo of the newest Data Hub features.

Susan Gregurick

NIH Research Software Engineer (RSE) Award (RFA-OD-24-011)

NIH Research Software Engineer (RSE) Award

(R50 Clinical Trials Not Allowed)

Notice Number: RFA-OD-24-011 (R50)

About:
The purpose of this notice of funding opportunity (NOFO) is to provide salary support for exceptional Research Software Engineers (RSEs) that contribute their skills to the development and dissemination of biomedical, behavioral or health related software, tools, and algorithms as well as to the training of prospective users of these tools.

First Application Due Date:
December 4th, 2024

Learn More

Building Sustainable Software Tools for Open Science (RFA-OD-24-010)

Wednesday, July 31, 2024

Building Sustainable Software Tools for Open Science 

(R03 Clinical Trial Not Allowed) 

Notice Number: RFA-OD-24-010 (R03)

About: 
The purpose of this notice of funding opportunity (NOFO) is to enhance the sustainability and impact of research software tools by enabling the use of best practices and design principles in software development and by leveraging continuing advances in computing. This NOFO is also expected to facilitate the creation of vibrant partnerships between developers and users of software and tools, and to promote FAIR practices for research software to maximize research value.

First Application Due Date:
December 4th, 2024

Learn More

September Data Sharing and Reuse Seminar

Friday, September 13, 2024

Charles Schmitt, Ph.D. and Danielle Braun, Ph.D. will present "Climate and Health Outcomes Research Data Systems (CHORDS)" on September 13, 2024, from 12:00 p.m.–1:00p.m. EDT.

About the Seminar

Understanding the impact of the environment on human health has been challenged by our limited ability to measure and identify the full extent and diversity of causal factors, which motivates the need for open sharing and reuse of environmental health data. The impacts of the changing climate have now become an important consideration for environmental health research. The ability to find, link, and integrate biomedical and health data with a diverse range of environmental, societal, and behavioral data is needed to fully understand these impacts and to devise solutions and preventive strategies. The Climate and Health Outcomes Research Data Systems (CHORDS) project aims to support biomedical researchers in finding and using the data sets, tools, and models needed to conduct such research. The project aims to provide researchers with a catalog to identify needed resources, tools to support data processing and linkage, and training materials. The project is funded by the U.S. Department of Health and Human Services Office of the Secretary Patient-Centered Outcomes Research Trust Fund program and is coordinating its efforts with the broader NIH Climate Change and Health Initiative and its Climate Change and Health Research Coordinating Center (CAFÉ RCC).

The Climate Change and Health Research Coordinating Center (CAFÉ), a part of the NIH Climate Change and Health Initiative, aims to accelerate the translation of research on climate change and health by supporting and growing a network of researchers and community partners in a community of practice (COP). The COP encompasses more than 2,000 members who are professionally interested in climate and health, including academic researchers, health care practitioners, government agencies, nongovernmental organizations (NGOs), funding agencies, community organizations, and industry partners. CAFÉ’s activities focus on convening COP members, accelerating their research through access to tools and resources, fostering communication and collaboration, and expanding participation in the multidisciplinary community. One of CAFÉ’s key goals is to develop data resources for fostering data sharing and reuse and facilitate implementation of the NIH Data Management and Sharing Policy released in January 2023. Briefly, in partnership with Harvard Dataverse, an NIH-supported generalist repository following FAIR (findable, accessible, interoperable, and reusable) principles, the CAFÉ Dataverse collection, was established, allowing COP members to contribute and reuse climate change health data. The CAFÉ GitHub organization was also established to provide code walkthroughs and tutorials for data processing and harmonization for climate change health data.

 

About the Speakers

Dr. Charles Schmitt
is the Director of the National Institute of Environmental Health Sciences (NIEHS) Office of Data Science and a senior scientist in the NIEHS Division of Translational Toxicology. He focuses on developing and supporting strategies to advance the sharing and use of environmental health data. This work includes overseeing the NIEHS Chemical Effects in Biological Systems (or CEBS) data repository; chairing the Environmental Health Language Collaborative; and supporting the development of several scientific projects, applications, and databases. Prior to joining NIEHS, he served as the Chief Technology Officer at the Renaissance Computing Institute (known as RENCI), where he directed work to develop research cyberinfrastructures and data science capabilities for biomedical research, in addition to working for several years in industry in the areas of data mining, bioinformatics, and software development. He received a Ph.D. in Computer Science from the University of North Carolina. Dr. Schmitt is the data infrastructure lead on the CHORDS project.

Dr. Danielle Braun
Danielle Braun is a principal research scientist and the Director of Data Science for Environmental and Climate Health in the Biostatistics Department at the Harvard T.H. Chan School of Public Health and at the Department of Data Science at the Dana-Farber Cancer Institute, where she also co-leads the BayesMendel laboratory. Her research interests include data science, environmental health, causal inference, risk prediction, genetic epidemiology, measurement error, and survival analysis.


About the Seminar Series

The seminar is open to the public and registration is required each month. Individuals who need interpreting services and/or other reasonable accommodations to participate in this event should contact Janiya Peters at 301-670-4990. Requests should be made at least five days in advance of the event.

The National Institutes of Health (NIH) Office of Data Science Strategy hosts this seminar series to highlight exemplars of data sharing and reuse on the second Friday of each month at noon ET. The monthly series highlights researchers who have taken existing data and found clever ways to reuse the data or generate new findings. A different NIH institute or center will also share its data science activities each month.