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View the DRKB Program Network Meeting

This meeting will foster the development of a cohesive NIH cloud computing community by uniting PIs (Principal Investigators) of the cloud supplement programs for a two-day gathering that will provide a platform for participants to exchange insights on their projects, celebrate accomplishments, discuss best practices, share lessons learned, and engage in collaborative discussions.

Attendees

Principal Investigators from the following cloud supplement programs have been invited:

• HVD 20 - FY2020 Request for ODSS Funds to Catalyze Migration to the Cloud via the STRIDES Initiative (also known as FY20 High-Value Datasets program)
• HVD 21 - FY2021 Request for ODSS Funds to Catalyze Migration to and Usage of the Cloud via the STRIDES Initiative (also known as HVD 21)
• HVD 22 - FY2022 Funding Request Notice for ODSS High-Value Datasets Program
• HVD 23 - FY2023 Funding Request Notice for Supporting the Exploration of Cloud in NIH Intramural Research and Contracts (also known as HVD 23)
• NOT-OD-23-070 - Notice of Special Interest (NOSI): Administrative Supplements to Support the Exploration of Cloud in NIH-supported Research

Featured Speakers

Dr. Belinda Seto — Deputy Director, NIH/ODSS

Dr. Belinda Seto was appointed deputy director of the ODSS in January 2020. A former deputy director of the National Eye Institute and the National Institute of Biomedical Imaging and Bioengineering, she brings a wealth of experience and knowledge to the position. After earning her Ph.D. in biochemistry from Purdue University, Dr. Seto completed a postdoctoral fellowship in the Stadtman Lab of the National Heart, Lung, and Blood Institute. She researched hepatitis B and vaccine development at the FDA. She oversaw the analysis and reporting of NIH grants data and trends through the Office of Extramural Research. Her experience in database management, analysis and extramural grants policies led her to serve on the NIH Scientific Data Council and the Scientific Data Policy Council.​

Laura Biven, Ph.D. — Lead, Integrated Infrastructure and Emerging Technologies, NIH/ODSS

Since joining NIH in 2020, Dr. Laura Biven has led the Integrated Infrastructure and Emerging Technologies (IIET) branch in ODSS. She is responsible for strategic planning, coordination, and oversight of programs that integrate independently managed, cloud data resources across the NIH to advance NIH’s vision for an integrated, FAIR biomedical data ecosystem. She also oversees multidisciplinary NIH-wide programs that focus on integrating computational, mathematical, and biomedical research communities around emerging technologies such as artificial intelligence and machine learning, (AI/ML) quantum computing, and digital twins.

Agenda

Dr. Rosa Alcazar will present "Creating a Just Genomic Data Science Community by Providing Resources at Community Colleges" at the monthly Data Sharing and Reuse Seminar on June 10, 2022 at 12 p.m. EDT.

View Recording

About the Seminar

Genomic data science has become foundational to modern biology research.  To create a just research community, we must provide sufficient resources to places that excel in serving people from underrepresented populations.  While community colleges offer pathways for many who wouldn’t otherwise be able to attend college, they  often lack the compute infrastructure, curriculum, and professional development necessary for instruction in rapidly changing fields.  In partnership with a group of dedicated researchers and educators, we are building the Genomic Data Science Community Network (GDSCN) to provide resources accessible by anyone with an internet connection.  Our vision is to share not only data but training and expertise irrespective of institutional affiliation breaking down barriers that create silos perpetuating a homogenized research community. 

About the Speaker

Dr. Rosa Alcazar is a Latina, first-generation high school graduate that attended community college part-time before transferring to UC Riverside and then receiving her doctorate at Johns Hopkins University.  She is currently a Biology Instructor at Clovis Community College where she advocates for institutional changes to remove systemic barriers in order to create a diverse research community.

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 Rachel Pisarski 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.

Dr. Kilian Pohl will present, "Accelerating Neuroscience Discovery Using Shared Software and Data" on March 8, 2024, at 12 p.m.

About the Seminar

Sharing software and data has led to new discoveries in neuroscience and lowered the barriers for replication. Adequate power to promote discovery results from aggregating and repurposing well-curated data acquired by multiple sites. Studies based on NIAAA-funded NCANDA-A are exemplary of this sharing process. Since 2013, NCANDA-A has been collecting multimodal neuroscience data annually on 831 individuals (baseline age: 12–21 years). The data are uploaded and curated through a data management system called Scalable Informatics for Biomedical Imaging Studies (SIBIS) (https://github.com/sibis-platform). SIBIS relies principally on publicly available software to span the entire life cycle of electronic data (i.e., capture, harmonize, quality control, share, and analyze). This talk will review the design of SIBIS, identify the challenges in analyzing public multimodal data via machine-learning technology, and highlight research findings that resulted from overcoming those challenges. 

About the Speaker

In 2002, Kilian M. Pohl started sharing machine-learning software for the analysis of neuroscience data as part of his graduate research at the Massachusetts Institute of Technology and Harvard Medical School. Kilian is now a Professor in Psychiatry and Behavioral Sciences and, by courtesy, Electrical Engineering at Stanford University. He is the contact Principal Investigator of the Data Analysis Resource of the National Consortium on Alcohol and Neurodevelopment in Adolescence - Adulthood (NCANDA-A) and of the Computational Neuroscience Laboratory (CNS^LAB). For neuroscience studies such as those conducted by NCANDA-A, the CNSLAB manages the data and creates machine-learning models to identify phenotypes that improve the mechanistic understanding, treatment, and prevention of neuropsychiatric disorders.

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.

The National Institutes of Health (NIH) released a Request for Information (RFI) on Proposed Use of Common Data Elements (CDEs) for NIH-Funded Clinical Research and Trials (NOT-OD-24-063). Responses are due April 20, 2024. 

NIH is requesting input on: a set of minimum core CDEs in the demographics/personal characteristics category; recommended CDEs in the clinical domains including autoimmune diseases and immune-mediated diseases; high-level CDEs for social determinants of health (SDoH) domains; tools and technologies that could enhance the use of NIH CDEs; and policies and governance that could facilitate and incentivize broader CDE usage in research and in data sharing and management.

This RFI is also an NIH effort to understand the challenges and opportunities in the use and development of CDEs in research and to inform appropriate NIH guidance and mechanisms to lower the barriers to CDE use and improve the ability to aggregate and integrate CDE-based data.

Interested parties may find additional information at: https://datascience.nih.gov/cde-rfi

Inquiries for this RFI should be directed to Belinda Seto, Ph.D., at [email protected].

Mr. Andrew Smith will present ELIXIR: Working Together to Accelerate the Understanding of Life on April 12, 2024, at 12 p.m.

About the Seminar

ELIXIR is a pan-European research infrastructure for life science data. It recently published its Scientific Programme at https://elixir-europe.org/news/programme-2024-28, setting out its vision for the next 5 years. ELIXIR’s new strategic priorities acknowledge the importance of not only investing in science and technology but also building capacity and increasing participation in ELIXIR member countries. Already present in more than 20 countries across Europe, ELIXIR will work to:

• Enable scientists across the globe to access and analyse life science data
• Deliver services to support federated data management and analytics in life science
• Equip national ELIXIR Nodes for successful long-term operations
• Develop people and capacity to benefit science and society
   

About the Speaker

Andrew (Andy) Smith joined ELIXIR in 2011 to help establish the organization and support its progression from preparatory stages to permanence. Until June 2024, Andy is serving as Interim Director in addition to his role as Head of External Relations. 
As Head of External Relations, Andy manages ELIXIR’s engagement with Member States, funders, and policymakers. He also leads ELIXIR’s engagement with the EU institutions. His team is responsible for developing ELIXIR’s industry strategy and facilitating international collaborations between ELIXIR partners and global collaborators, including those in the United States. 
Andy has represented ELIXIR on the Organisation for Economic Co-operation and Development (OECD) and G7 Group of Senior Officials working groups on topics relating to open science and international collaboration. He is the coordinator of the EU-funded ELIXIR-STEERS project, which has a focus on software and workflow development best practices.
 

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.

In early 2023, ODSS partnered with the Federation of American Societies for Experimental Biology (FASEB) to launch the second annual DataWorks! Prize to highlight examples of innovative data sharing and reuse.

This year, 39 teams registered for the challenge to demonstrate their accomplishments. The 218 team members came from a wide variety of disciplines, including biochemistry, clinical research, genomics, immunology, molecular biology, neuroscience, and more.

Representatives from the grand prize-winning team will present at the Data Sharing and Reuse Seminar series on Friday, Feb. 9, 2024.

Grand Prize $100,000

CCC19

COVID-19 and Cancer: Catalyzing Collaboration

The COVID-19 and Cancer Consortium (CCC19) is a collaboration that collects data about patients with cancer who have been diagnosed with COVID-19.

Distinguished Achievement Award $50,000

IPop CATS

GeoPIPE: Reusing Open Data and Letting Data Flow

GeoPipe is pipeline for enriching open data streams with geospatial analyses and natural language processing.

 

Maryellen Giger’s Team

Sharable Curated, Diverse Medical Images at Scale

MIDRC is a collaboration to create an open curated, diverse commons for medical imaging AI research and a sequestered one for translation.

Exemplary Achievement Award $25,000

ASAP Discovery Consortium

An Open Pipeline for Antiviral Drug Discovery

To nucleate a global antiviral pipeline to prevent future pandemics, we created a new model for open science accelerated drug discovery.

 

Karen Yook’s Team

Making Data Useable While Publishing

microPublication Biology re-architects the publishing workflow by including curators to alleviate numerous obstacles in data reusability.

 

StrokeFAIR

StrokeFAIR: A Public Dataset and Analytical Tools

StrokeFAIR shares FAIR images, metadata, and analytical tools for acute brain stroke, democratizing avenues to perform reproducible reliable research.

Significant Achievement Award $12,500

Caltech Library

Naming Data Files Descriptively for Easier Reuse

A worksheet for creating file naming conventions to label research data descriptively and consistently.

Mr. Alex VanHelene, Dr. Sanjay Mishra, Dr. Michael Rooney, and Dr. Jeremy L. Warner will present COVID-19 and Cancer: Catalyzing Collaboration on February 9, 2024, at 12 p.m.

About the Seminar

To understand and assess the uncertain effects of COVID-19 on people affected by cancer, CCC19 was founded in March 2020 and developed a robust and agile strategy to collect and disseminate prospective, granular, uniformly organized information on patients with cancer diagnosed with COVID-19 — at scale and as rapidly as possible. This systematic data sharing recipe included three key components: data sourcing and acquisition, data management, and data model sharing.

Taking inspiration from existing best practices, CCC19 sought to accelerate clinical research by facilitating data sharing amongst 126 cancer institutions across North America and eventually logged more than 19,000 cases – the largest registry of its kind. Data standardization is managed through existing clinical vocabularies whenever possible. Through continuous quality assurance of contributed data from participating institutions, CCC19 ensures compliance and standardization with registry-based research standards. Our knowledge is publicly accessible because of the direct features of REDCap that enable local reusability, and open code sharing on GitHub. To further emphasize best practice “recipes” to advance biological and biomedical research activities, all CCC19 publications, the data model, and derived variable code are publicly available. CCC19’s transparent and streamlined approach to data management demonstrates the power of data sharing practices to advance scientific discovery and human health.

About the Speakers

Mr. Alex VanHelene is a Clinical Research Assistant at Rhode Island Hospital. Dr. Sanjay Mishra is the Research Program Manager at Rhode Island Hospital and Coordinator of the COVID-19 and Cancer Consortium. Dr. Michael Rooney is a Radiation Oncology Resident at the University of Texas MD Anderson Cancer Center. Dr. Jeremy L. Warner is a Professor of Medicine at Brown University and Director of the Research Coordination Center of the COVID-19 and Cancer Consortium.

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.