2023-02-17

[#DIV28SUPER] NIDA Neuroscience Update Feb 17, 2023

 

TABLE OF CONTENTS

 

 

  1. Request for Information (RFI): Announcement: Re-envisioning U.S. Postdoctoral Research Training and Career Progression within the Biomedical Research Enterprise NOT-OD-23-084

 

  1. Notice of Early Termination of NOT-DA-23-005, Notice of Special Interest (NOSI): HEAL Initiative: Biospecimen Collection in Pregnancy NOT-DA-23-016

 

  1. Notice of Special Interest (NOSI): Support for existing data repositories to align with FAIR and TRUST principles and evaluate usage, utility, and impact NOT-OD-23-044

 

  1. Notice of Special Interest (NOSI): Administrative Supplements to Support the Exploration of Cloud in NIH-supported Research NOT-OD-23-070

 

  1. BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed) RFA-DA-23-039

 

  1. Notice of Joint NSF/NIDA Initiative to Support Research in the Incorporating Human Behavior into Epidemiological Models Program NOT-DA-23-017

 

  1. Science Collaborative for Health disparities and Artificial intelligence bias Reduction (ScHARe) Think-a-Thon Registration

 

  1. NIDA Animal Genomics Program (U01 – Clinical Trial Not Allowed) PAR-21-244

 

  1. NIDA Guidance on NIH Data Management & Sharing Policy https://nida.nih.gov/research/nih-policies-guidance/guidance-nih-data-management-sharing-policy

 

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  1. Request for Information (RFI): Announcement: Re-envisioning U.S. Postdoctoral Research Training and Career Progression within the Biomedical Research Enterprise NOT-OD-23-084

 

NIH seeks input on the status of the postdoctoral training system through a Request for Information (RFI) open February 14 through April 14, 2023

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Ensuring the future of U.S. competitiveness and innovation in biomedical research is of utmost importance to NIH. A new Advisory Committee to the NIH Director (ACD) Working Group was recently established to address growing concerns about the postdoctoral training system and  recruiting qualified postdoctoral candidates in the future.  The goal of this working group is to explore the status of the postdoctoral training system, identify and understand critical factors and issues relating to this perceived decline in the number of postdoctoral fellows in academia, and provide recommendations to address those factors. The working group has developed an RFI to get input from the extramural research community:

 

https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-084.html 

NIH is particularly interested in hearing about promising solutions to address current challenges affecting the postdoctoral trainee community. This RFI will assist NIH in hearing the voices of postdoctoral trainees along with others impacted by this unique and skilled training position, and in exploring ways to address some of the fundamental challenges faced by the postdoctoral trainee community.

 

The insights from the RFI responses will inform the working group to develop recommendations to address the challenges impacting the postdoctoral community. We would greatly appreciate your time and effort in responding to this RFI. Furthermore, we encourage you to share this RFI with other interested groups. Below is suggested language you may use:

 

NIH is seeking input from the community, particularly trainees, early-stage faculty, and others invested in the biomedical workforce, about challenges faced by the postdoctoral trainee community. An NIH Advisory Committee to the Director Working Group has posted a Request for Information where you can share your insights on issues affecting and possible solutions to the recent decline in postdoctoral trainees. Your responses will be used to help develop recommendations to address this problem which impacts U.S. competitiveness in biomedical research and innovation. Please consider responding to the RFI, which closes on April 14, 2023. 

 

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  1. Notice of Early Termination of NOT-DA-23-005, Notice of Special Interest (NOSI): HEAL Initiative: Biospecimen Collection in Pregnancy

NOT-DA-23-016

 

The National Institute on Drug Abuse (NIDA) announces the early termination of Notice of Special Interest (NOSI): HEAL Initiative: Biospecimen Collection in Pregnancy, NOT-DA-23-005. NIDA will not accept applications for administrative supplements in response to NOT-DA-23-005 after March 31, 2023.

Notice of Early Termination of NOT-DA-23-005, Notice of Special Interest (NOSI): HEAL Initiative: Biospecimen Collection in Pregnancy

NOT-DA-23-016

 

The National Institute on Drug Abuse (NIDA) announces the early termination of Notice of Special Interest (NOSI): HEAL Initiative: Biospecimen Collection in Pregnancy, NOT-DA-23-005. NIDA will not accept applications for administrative supplements in response to NOT-DA-23-005 after March 31, 2023.

 

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  1. Notice of Special Interest (NOSI): Support for existing data repositories to align with FAIR and TRUST principles and evaluate usage, utility, and impact NOT-OD-23-044

The goal of this Notice of Special Interest (NOSI) is to strengthen NIH-funded biomedical data repositories to better enable data discoverability, interoperability, and reuse by aligning with the FAIR and TRUST principles and using metrics to measure their effectiveness. This NOSI provides an opportunity for existing repositories to increase “FAIR”-ness and “TRUST”-worthiness to improve their usage, utility, and impact throughout the data resource lifecycle.

Application Due Date(s) – March 1, 2023 by 5:00 PM local time of applicant organization

 

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  1. Notice of Special Interest (NOSI): Administrative Supplements to Support the Exploration of Cloud in NIH-supported Research NOT-OD-23-070

This notice announces the availability of supplemental funds from the Office of Data Science Strategy (ODSS) to NIH-managed or NIH-majority-funded projects that may benefit from using the cloud. The purpose of this announcement is to explore and test potential opportunities for leveraging cloud solutions to enhance existing NIH activities. Projects already using cloud may apply to explore and test cloud capabilities not yet leveraged. This initiative is aligned with the NIH Strategic Plan for Data Science, which describes actions aimed at building a better data infrastructure and a modernized data ecosystem.

Application Due Date(s) – Apr. 11, 2023 by 5:00 PM local time of applicant organization

 

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  1. BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain (R01 Clinical Trial Not Allowed) RFA-DA-23-039

This Funding Opportunity Announcement (FOA) seeks the development of theories, computational models, and analytical tools to derive understanding of brain function from complex neuroscience data. Proposed projects could develop tools to integrate existing theories or formulate new theories; conceptual frameworks to organize or fuse data to infer general principles of brain function; multiscale/multiphysics models to generate new testable hypotheses to design/drive future experiments; new analytical methods to substantiate falsifiable hypotheses about brain function. It is expected that the tools developed under this FOA will be made widely available to the neuroscience research community for their use and modification. Investigative studies should be limited to model parameter estimation and/or validity testing of the tools being developed.

Application Due Date(s) – September 12, 2023 & September 12, 2024 by 5:00 PM local time of applicant organization

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  1. Notice of Joint NSF/NIDA Initiative to Support Research in the Incorporating Human Behavior into Epidemiological Models Program NOT-DA-23-017

The purpose of this notice announces the participation of the National Institute on Drug Abuse (NIDA), effective immediately, in a joint initiative, the Incorporating Human Behavior in Epidemiological Models (IHBEM) Program, in collaboration with the National Science Foundation (NSF). 

The IHBEM announcement is released under NSF-23-546. The purpose of the IHBEM activity is to support interdisciplinary collaborations that integrate research on behavioral and/or social processes in mathematical epidemiological models. Projects supported under this activity should be collaborative in nature and have coordinated interaction of two or more PIs/co-PIs, with balanced participation from the mathematical sciences and the social, behavioral, or economic sciences. Additional participants from other disciplines, especially the biological sciences, are also welcome. 

NIDA is specifically interested in applications that support scientific research on drug use and its health and social consequences across the spectrum, from occasional use to problematic use and substance use disorders (SUDs). Some examples of areas of interest include:

  • Using technology and advanced statistical methods to inform our understanding of both social, behavioral and neurobiological components of drug use that are strongly influenced by diverse environmental and social factors
  • The development and validation of technologies, analytics, and models to help individuals gather, manage, and use data and information related to drug use and their personal health
  • Methods and algorithms for aggregation of data including, but not limited to, electronic health records (EHRs), laboratory generated data, environmental, and/or behavioral data
  • Diagnostic/monitoring tools and technology platforms to optimize drug use interventions and delivery 

Submission Window Date(s): April 03, 2023 – April 14, 2023; March 01-2024 – March 15, 2024; March 1 – March 15, Annually Thereafter (due by 5 p.m. submitter's local time)

 

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  1. Science Collaborative for Health disparities and Artificial intelligence bias Reduction (ScHARe) Think-a-Thon Registration

Science Collaborative for Health disparities and Artificial intelligence bias Reduction (ScHARe) is a cloud-based social science data platform designed to accelerate research in minority health and health disparities, health care outcomes, and artificial intelligence bias mitigation strategies. They will be hosting a Think-a-Thon on February 15 from 2:30-4:30pm to introduce researchers and students to ScHARe and its innovative, low-cost, and user-friendly data analysis tools.

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  1. NIDA Animal Genomics Program (U01 – Clinical Trial Not Allowed) PAR-21-244

The purpose of the NIDA Animal Genetics Program is to identify genetic, genomic, and molecular (epi)genetic variants that underlie: 1. Phenotypes associated with addictive behaviors and/or vulnerability to distinct stages along the substance use disorder (SUD) trajectory (e.g. initial/acute use, escalation of use, acquisition of tolerance, dependence, uncontrolled use, abstinence and relapse or recovery); 2. Behaviors associated with SUD (e.g. impulsivity, novelty seeking, delayed discounting, and other genetically-associated phenotypes); and 3. Comorbidities that demonstrate genetic correlations with phenotypes and behaviors linked with SUD (e.g. anxiety, stress, poor maternal care, social defeat, and other paradigms). Applications may examine any type of variant, including single nucleotide variants (SNVs), indels, large and small structural variants, and all types of mobile DNA. NIDA encourages applications that take genomics, multi-omics, and/or data-based approaches that integrate multi-level ‘omics data, delineate gene networks, and/or uncover the function of known or newly discovered genetic or epigenetic variants. NIDA expects these studies to uncover novel mechanisms that contribute to SUD and facilitate the discovery of targets for intervention and guide the development of individualized therapeutics to treat these different aspects of SUD.

 

Application due dates by 5:00PM local time:  March 2, 2023; July 2023; March 4, 2024

 

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  1. NIDA Guidance on NIH Data Management & Sharing Policy https://nida.nih.gov/research/nih-policies-guidance/guidance-nih-data-management-sharing-policy

 

Beginning January 25, 2023, the National Institutes of Health (NIH) Policy for Data Management and Sharing (DMS) requires researchers to submit a DMS Plan. The goal of this policy is to maximize the availability of data from NIH-supported research to advance NIH’s mission to enhance health, lengthen life, and reduce illness and disability. The DMS policy will provide a consistent, minimum expectation of data management and sharing for all research supported by the agency. Additionally, the policy applies to all research, funded or conducted in whole or in part by the NIH, that generates scientific data. Several resources are available to help investigators implementing the NIH DMS policy. See the overview at NIDA Guidance on NIH Data Management & Sharing Policy and visit the NIH Scientific Data Sharing Website for additional details.

                                                                                                                                                                                                                                         

 

The National Institute on Drug Abuse at the National Institutes of Health is an agency of the United States Department of Health and Human Services  TO UNSUBSCRIBE: send email to listserv@list.nih.gov Copy and paste UNSUBSCRIBE NIDA_NEURO_SCIENCE-L .  If you are unable to add or remove yourself from the listserv please contact Jonathan D. Pollock, Ph.D. at jpollock@mail.nih.gov

 

 

 

 

 

 

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