As the NIDDK Information Network (dkNET) Coordinating Unit we must develop strategies to ensure that dkNET continuously evolves to meet community needs. As the use of a wide-array of methods that generate large amounts of complex data become more common in biomedical research, there is a growing need to develop an interdisciplinary workforce that can use and further refine computational and statistical approaches to interrogate this high-content data. The New Investigator Bioinformatics Pilot program will: (i) facilitate the ability of Early Stage and New Principal Investigators with computational and bioinformatics expertise to pursue research questions in Diabetes, Endocrinology or Metabolic Diseases, or (ii) allow Early Stage and New PIs currently pursuing research in these NIDDK topic areas to explore incorporating computational, statistical, and/or bioinformatics approaches into their research projects. The overall goal of this dkNET Pilot Award program is to provide support for these early career investigators to obtain feasibility data in support of future grant applications.

Public Health Relevance

As the use of a wide-array of methods that generate large amounts of complex data become more common in biomedical research, there is a growing need to develop an interdisciplinary workforce that can use and further refine computational and statistical approaches to interrogate this high-content data. The NIDDK Information Network (dkNET) New Investigator Bioinformatics Pilot program will facilitate the ability of Early Stage and New Principal Investigators with computational and bioinformatics expertise to pursue such research in Diabetes, Endocrinology or Metabolic Diseases.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
3U24DK097771-08S1
Application #
10224589
Study Section
Special Emphasis Panel (ZDK1)
Program Officer
Wang, Xujing
Project Start
2012-12-01
Project End
2023-06-30
Budget Start
2020-08-03
Budget End
2021-06-30
Support Year
8
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Type
Schools of Medicine
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
McMurry, Julie A; Juty, Nick; Blomberg, Niklas et al. (2017) Identifiers for the 21st century: How to design, provision, and reuse persistent identifiers to maximize utility and impact of life science data. PLoS Biol 15:e2001414
Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2016) The Resource Identification Initiative: A Cultural Shift in Publishing. Neuroinformatics 14:169-82
Wilkinson, Mark D; Dumontier, Michel; Aalbersberg, I Jsbrand Jan et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3:160018
Vita, Randi; Vasilevsky, Nicole; Bandrowski, Anita et al. (2016) Reproducibility and conflicts in immune epitope data. Immunology 147:349-54
Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2016) The Resource Identification Initiative: A Cultural Shift in Publishing. J Comp Neurol 524:8-22
Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2016) The Resource Identification Initiative: a cultural shift in publishing. Brain Behav 6:e00417
Ozyurt, Ibrahim Burak; Grethe, Jeffrey S; Martone, Maryann E et al. (2016) Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature. PLoS One 11:e0146300
Bandrowski, Anita; Brush, Matthew; Grethe, Jeffery S et al. (2015) The Resource Identification Initiative: A cultural shift in publishing. F1000Res 4:134
Whetzel, Patricia L; Grethe, Jeffrey S; Banks, Davis E et al. (2015) The NIDDK Information Network: A Community Portal for Finding Data, Materials, and Tools for Researchers Studying Diabetes, Digestive, and Kidney Diseases. PLoS One 10:e0136206
Sharma, Kumar (2014) Tell-tale signs of perturbed podocytes. J Am Soc Nephrol 25:1367-9