[DIV28SUPER] NIDA Neuroscience Update February 18, 2014

Table of Contents

 

I.              NIDA Division of Basic Neuroscience and Behavioral Research Is Recruiting Two Program Officers

 

II.            The NIH Big Data to Knowledge (BD2K, http://bd2k.nih.gov/) Notices and RFAs

 

III.           SBIR/STTR RFAs for Tools for Monitoting and Manipulating Modified RNAs in the Nervous System

 

IV.          Identification of Gene Variants for Addiction Related Traits by Next-Gen Sequencing in Model Organisms Selectively Bred for Addiction Traits (UH2/UH3) PAR-14-010 http://grants.nih.gov/grants/guide/pa-files/PAR-14-010.html

 

V.            Resource Identification Initiative http://www.force11.org/node/4463

 

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I.    NIDA Division of Basic Neuroscience and Behavioral Research Is Recruiting Two Program Officers

We are re-opening the recruits for 2 program officers (GS13), one with expertise in behavioral neuroscience and the other in computational neuroscience and neuroinformatics.  Also, the recruit for DBNBR Deputy is out.  Please pass along to anyone who may be interested. 

NOTE:  both of these announcements close on February 23.

 

·         Health Scientist Administrator (Program Officer), GS-0601-12/13/14 (1. Behavior and 2. Computational neuroscience and neuroinformatics)

 

·         Supervisory Health Scientist Administrator (Program Officer), GS-0601-15

 

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II.  The NIH Big Data to Knowledge (BD2K, http://bd2k.nih.gov/) Notices and RFAs

The NIH Big Data to Knowledge (BD2K, http://bd2k.nih.gov/) initiative announces the release of three related Notices of Intent to Publish (NOIPs) for RFAs for training programs in biomedical Big Data Science:

• Notice of Intent to Publish a Funding Opportunity Announcement for Predoctoral Training in Biomedical Big Data Science (T32) (NOT-HG-14-011)
• Notice of Intent to Publish a Funding Opportunity Announcement for Revisions to Add Biomedical Big Data Training to Ongoing Institutional Training Grants (T32) (NOT-HG-14-022)
• Notice of Intent to Publish a Funding Opportunity Announcement for Revisions to Add Biomedical Big Data Training to Ongoing Institutional Training Grants (T15) (NOT-HG-14-023)

In addition to these NOIPs, three other BD2K FOAs have been recently released related to the training of users or developers of Big Data methods and tools. 

 

·         RFA-HG-14-007  Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01)

·         RFA-HG-14-008  Courses for Skills Development in Biomedical Big Data Science (R25)

·         RFA-HG-14-009  Open Educational Resources for Biomedical Big Data (R25)

 

The first deadline for K01 and R25 applications is April 1, 2014, with an optional letter of intent due March 1, 2014.

 

BD2K is a new major trans-NIH initiative that aims to support advances in data science, other quantitative sciences, policy, and training that are needed for the effective use of Big Data in biomedical research. Interested applicants are encouraged to join the listserv (on the BD2K homepage) to receive the most up-to-date information about BD2K events and funding opportunities. 

 

Please share this opportunity with your interested scientific communities. If you have questions, please contact Michelle Dunn at bd2k_training@mail.nih.gov.

 

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III.   SBIR/STTR RFAs for Tools for Monitoting and Manipulating Modified RNAs in the Nervous System

• Tools for Monitoring and Manipulating Modified RNAs in the Nervous System (R43/R44)
  (RFA-DA-15-001)
  National Institute on Drug Abuse
  Application Receipt Date(s): April 24, 2014
• Tools for Monitoring and Manipulating Modified RNAs in the Nervous System (R41/R42)
  (RFA-DA-15-002)
  National Institute on Drug Abuse
  Application Receipt Date(s): April 24, 2014

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IV.  Identification of Gene Variants for Addiction Related Traits by Next-Gen Sequencing in Model Organisms Selectively Bred for Addiction Traits (UH2/UH3) PAR-14-010 http://grants.nih.gov/grants/guide/pa-files/PAR-14-010.html

 

Next Application deadline June 30, 2014.  Applicants are advised to discuss their application with program before submitting.

 

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V.   Resource Identification Initiative http://www.force11.org/node/4463

The Resource Identification Initiative (#RII) is designed to help researchers sufficiently cite the key resources used to produce the scientific findings reported in the biomedical literature.  A diverse group of collaborators are leading the project, including the Neuroscience Information Framework and the Oregon Health & Science University Library, with the support of the National Institutes of Health and the International Neuroinformatics Coordinating Facility.  

 

Resources (e.g. antibodies, model organisms, and software) reported in the biomedical literature often lack sufficient detail to enable reproducibility or reuse. For example, catalog numbers for antibody reagents are infrequently reported, and the version numbers for software programs used for data analysis are often omitted.  The Resource Identification Initiative aims to enable resource identification within the biomedical literature through a pilot study promoting the use of unique Research Resource Identifiers (RRIDs).  In addition to being unique, RRID's meet three key criteria, they are:

 

1).  Machine readable;

2).  Free to generate and access;

3).  Consistent across publishers and journals.

The first step in this project is to test the feasibility of the system for a limited set of resources: antibodies, model organisms (mice, zebrafish, flies) and tools (i.e. software and databases) in the biomedical literature.  Authors publishing in participating journals will be asked to provide RRID's for their resources.  RRID's will be drawn from:

• The Antibody Registry
• Model Organism Databases
• NIF Resource Registry

·         To make it easy for authors to find the appropriate RRID's and to format their citations, we have created the Resource Identification Portal, where authors can search across all of sources from a single location.  

·         In addition to facilitating reproducibility and reuse, the inclusion of RRID citations in the literature will allow resource providers, funders, others to better track usage and impact

For more information go to http://www.force11.org/node/4463

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