Researchers
DiGiovanna, Jack PhD
Velsera
INCLUDE Grants
Integrating Imaging-based Infrastructure into the INCLUDE Data Hub
Grant Number
3U2CHL156291-05S3
NIH Institute
NHLBI
Mechanism
U2C
- Carroll, Robert J
- DiGiovanna, Jack
- Espinosa, Joaquin M
- Ferretti, Vincent
- Resnick, Adam Cain
- Haendel, Melissa A
– Overall. People with Down syndrome are strongly predisposed to develop a wide range of comorbidities that shorten their lifespan and decrease their quality of life, such as Alzheimer’s disease, congenital heart disease, leukemias, autoimmune disorders, and diverse neurological conditions. The proposed activities under this project seek to create a world-class resource for collaborative discovery, data sharing, data access, and integrative analysis that would enable novel investigations into all DS comorbidities across the lifespan and further integrating across datasets for related diseases occurring in the general population, thus paving the way for a precision medicine approach to DS. Furthermore, this resource and associated platforms will also have broader impacts by empowering physicians, educators, government officials, and advocates with the tools required to elicit evidence- based transformative action in the clinic, the classroom, the government, and society at large.
Ensuring Data Compliance and Security for the INCLUDE Data Coordinating Center in Response to Emerging NIH/NHLBI Platform Environment Requirements
Grant Number
3U2CHL156291-05S1
NIH Institute
NHLBI
Mechanism
U2C
- Carroll, Robert J
- DiGiovanna, Jack
- Espinosa, Joaquin M
- Ferretti, Vincent
- Resnick, Adam Cain
- Haendel, Melissa A
– Overall. People with Down syndrome are strongly predisposed to develop a wide range of comorbidities that shorten their lifespan and decrease their quality of life, such as Alzheimer’s disease, congenital heart disease, leukemias, autoimmune disorders, and diverse neurological conditions. The proposed activities under this project seek to create a world-class resource for collaborative discovery, data sharing, data access, and integrative analysis that would enable novel investigations into all DS comorbidities across the lifespan and further integrating across datasets for related diseases occurring in the general population, thus paving the way for a precision medicine approach to DS. Furthermore, this resource and associated platforms will also have broader impacts by empowering physicians, educators, government officials, and advocates with the tools required to elicit evidence- based transformative action in the clinic, the classroom, the government, and society at large.
The INCLUDE Data Coordinating Center
Grant Number
U2CHL156291
NIH Institute
NHLBI
Mechanism
U2C
- Carroll, Robert J
- Galbraith, Matthew D
- DiGiovanna, Jack
- Espinosa, Joaquin M
- Ferretti, Vincent
- Resnick, Adam Cain
- O’Connor, Brian
- Guinney, Justin
- Haendel, Melissa A
PROJECT NARRATIVE – Overall
People with Down syndrome are strongly predisposed to develop a wide range of co-occurring conditions that
shorten their lifespan and decrease their quality of life, such as Alzheimer’s disease, congenital heart disease,
autoimmune disorders, and diverse neurological conditions. The proposed activities under this project seek to
further develop a world-class resource for collaborative discovery, data sharing, data access, and analysis that
would enable novel investigations of DS across the lifespan, thus paving the way for a precision medicine
approach to DS. Furthermore, this resource and associated platforms will also have broader impacts by
empowering physicians, educators, government officials, and advocates with the tools required to elicit evidence-
based transformative action in the clinic, the classroom, the government, and society at large.
Data Science for Developing Scholars in Down Syndrome Research (DS3)
Grant Number
3U2CHL156291-02S2
NIH Institute
NHLBI
Mechanism
U2C
The mission of the INCLUDE Data Coordinating Center is to accelerate research that benefits individuals with Down syndrome (DS) by facilitating access and analysis of data from cohort studies of people with DS. This award will fund the development of an immersive summer course in data sciences known as the Data Science for Developing Scholars in Down Syndrome Research (DS3), which will provide training in the basics of generation, identification and collection of high content multidimensional datasets; their management, analysis and visualization; as well as development of key professional skills required for the career advancement of trainees.
Advancing the cloud-based data access and interoperability infrastructure of the INCLUDE data ecosystem
Grant Number
3U2CHL156291-02S3
NIH Institute
NHLBI
Mechanism
U2C
The INCLUDE Data Hub has reached a significant milestone (MVP launch) featuring both open-access and controlled data. Investing in INCLUDE infrastructure that can serve controlled access data directly will empower more researchers with richer data; increasing the probability of advancing DS research. We will design, build, and integrate a Clearinghouse with the INCLUDE DRS Server and the NIH Researcher Auth Service (RAS) to create a secure and compliant system to serve controlled data within the INCLUDE Data Hub.
DCC supplement for Experimental Models Portal and Enhanced Security
Grant Number
3U2CHL156291-04S1
NIH Institute
NHLBI
Mechanism
U2C
This is a proposal to support the design of a pilot data portal for sharing and analysis of data from experimental models of Down syndrome, and to enhance the security ecosystem of the existing researcher portal known as the INCLUDE Data Hub. The activities supported by this award will enable the future creation of an Experimental Models Portal within the INCLUDE Data Hub, while also supporting full compliance with advanced security standards.
DCC Supplement for Experimental Models Portal
Grant Number
3U2CHL156291-05S2
NIH Institute
NHLBI
Mechanism
U2C
- Carroll, Robert J
- DiGiovanna, Jack
- Espinosa, Joaquin M
- Ferretti, Vincent
- Resnick, Adam Cain
- Haendel, Melissa A
– Overall. People with Down syndrome are strongly predisposed to develop a wide range of comorbidities that shorten their lifespan and decrease their quality of life, such as Alzheimer’s disease, congenital heart disease, leukemias, autoimmune disorders, and diverse neurological conditions. The proposed activities under this project seek to create a world-class resource for collaborative discovery, data sharing, data access, and integrative analysis that would enable novel investigations into all DS comorbidities across the lifespan and further integrating across datasets for related diseases occurring in the general population, thus paving the way for a precision medicine approach to DS. Furthermore, this resource and associated platforms will also have broader impacts by empowering physicians, educators, government officials, and advocates with the tools required to elicit evidence- based transformative action in the clinic, the classroom, the government, and society at large.