Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1392&sort=-awardee_organization
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=-awardee_organization", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1392&sort=-awardee_organization", "next": null, "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1391&sort=-awardee_organization" }, "data": [ { "type": "Grant", "id": "9829", "attributes": { "award_id": "75N91021F00056-P00002-0-1", "title": "Laboratory to Perform Assays of Coagulopathy Biomarkers for the National Cancer Institute’s COVID-19 in Cancer Patients Study (NCCAPS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2021-03-01", "end_date": "2023-02-28", "award_amount": 155897, "principal_investigator": { "id": 24006, "first_name": "EDWARD", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Lab will conduct coagulopathy assays for NCI to analyze as part of a correlative science objective in NCI COVID-19 in Cancer Patients Study (NCCAPS): A Longitudinal Natural History Study, ClinicalTrials.gov Identifier: NCT04387656 https://clinicaltrials.gov/ct2/show/NCT04387656", "keywords": [ "Biological Assay", "Biological Markers", "Blood Coagulation Disorders", "COVID-19", "Cancer Patient", "Laboratories", "National Cancer Institute", "Natural History", "Science" ], "approved": true } }, { "type": "Grant", "id": "10379", "attributes": { "award_id": "75N93022C00044-0-9999-1", "title": "SBIR TOPIC 107 REAGENTS FOR IMMUNOLOGIC ANALYSIS OF NON- MAMMALIAN AND UNDERREPRESENTED MAMMALIAN MODELS", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2024-09-29", "award_amount": 596519, "principal_investigator": { "id": 24917, "first_name": "TORI", "last_name": "RACE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "The hamster is a well-established model for several infectious diseases including influenza and SARS-CoV-2. Lack of hamster reagents has hampered pre-clinical studies of viral pathogenesis, host immunity, and vaccine development. The objectives of this proposal are to produce and test monoclonal antibodies against 10 cytokines and chemokines and 4 T cell surface markers for characterizing cytokine responses and examining T cells activation in the hamster models of respiratory infections. Completion of this project will provide high-affinity monoclonal antibodies that allow investigators to distinguish innate and adaptive inflammatory cytokine and chemokine responses as well as activated T cells, memory T cells, tissue resident memory T cells, and regulatory T cells in the hamster models of infectious diseases.", "keywords": [ "2019-nCoV", "Affinity", "Cell surface", "Cells", "Communicable Diseases", "Generations", "Hamsters", "Immunity", "Immunization", "Immunologics", "Inflammatory", "Influenza", "Memory", "Modeling", "Monoclonal Antibodies", "Mus", "Proteins", "Reagent", "Recombinant Proteins", "Recombinants", "Regulatory T-Lymphocyte", "Research Personnel", "Respiratory Tract Infections", "Serum", "Small Business Innovation Research Grant", "T memory cell", "T-Cell Activation", "T-Lymphocyte", "Testing", "Tissue Sample", "Tissues", "Validation", "Viral Pathogenesis", "chemokine", "cytokine", "infectious disease model", "preclinical study", "response", "vaccine development" ], "approved": true } }, { "type": "Grant", "id": "10496", "attributes": { "award_id": "75N93022C00049-0-9999-1", "title": "DIGITAL TOOLS AGAINST MISINFORMATION ABOUT INFECTIOUS DISEASE TREATMENTS AND VACCINES", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-08-08", "end_date": "2023-08-07", "award_amount": 299993, "principal_investigator": { "id": 26503, "first_name": "KHAI", "last_name": "EDOUARD", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "To develop digital tools to identify and combat malicious digital bots that spread misinformation about infectious disease treatments and vaccines, including COVID-19 vaccines.", "keywords": [ "2019-nCoV", "Basic Science", "COVID-19 vaccine", "Coronavirus", "Misinformation", "Vaccines", "combat", "digital", "infectious disease treatment", "tool" ], "approved": true } }, { "type": "Grant", "id": "10497", "attributes": { "award_id": "75N93022C00050-0-9999-1", "title": "CAPTURING MEDICAL MISINFORMATION IN SOCIAL MEDIA USING AN ADVANCED AI SOLUTION SET", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Allergy and Infectious Diseases (NIAID)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-08-08", "end_date": "2023-08-07", "award_amount": 300000, "principal_investigator": { "id": 26504, "first_name": "MANOOCHEHR", "last_name": "GHIASSI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "To develop digital tools to identify and combat malicious digital bots that spread misinformation about infectious disease treatments and vaccines, including COVID-19 vaccines.", "keywords": [ "2019-nCoV", "Basic Science", "COVID-19 vaccine", "Coronavirus", "Medical", "Misinformation", "Vaccines", "combat", "digital", "infectious disease treatment", "social media", "tool" ], "approved": true } }, { "type": "Grant", "id": "10554", "attributes": { "award_id": "75N94021C00007-P00005-9999-1", "title": "DEVELOPMENT OF AN ELECTRONIC CARE PLAN FOR PERSONS WITH MULTIPLE CHRONIC CONDITIONS (E-CARE)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2023-09-29", "award_amount": 111971, "principal_investigator": { "id": 26567, "first_name": "EVELYN", "last_name": "GALLEGO", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Through funding made available from the Department of Health and Human Services’ Patient-Centered Outcomes Research Trust Fund (PCOR TF), the NIDDK has partnered with the Agency for Healthcare Research and Quality (AHRQ) on the development and testing of a pilot suite of interoperable electronic (e-) care planning tools to facilitate aggregation and sharing of critical patient-centered data across home-, community-, clinic- and research-based settings for persons with multiple chronic conditions (MCC), including chronic kidney disease (CKD), type 2 diabetes mellitus (T2D), cardiovascular disease (CVD), chronic pain, and post-acute sequelae of SARS-CoV-2 infection (PASC). Care plans are a prominent part of multifaceted, care coordination interventions that reduce mortality and hospitalizations and improve disease management and satisfaction. In addition, proactive care planning promotes person-centeredness, improves outcomes, and reduces the cost of care. Development of care plans based on standardized data—leveraging standards such as Fast Healthcare Interoperability Resources (FHIR) and Substitutable Medical Apps, Reusable Technology (SMART) (https://smarthealthit.org/) on FHIR—has been proposed as a method for enabling electronic systems to pull together and share data elements automatically and dynamically. Such aggregated data would not only provide actionable information to identify and achieve health and wellness goals for individuals with MCC, but also would reduce missingness and improve quality of point-of-care data for use in pragmatic research. The NIDDK is leading the development component of the project, while real-world testing is being led by AHRQ.", "keywords": [ "Cardiovascular Diseases", "Caregivers", "Caring", "Chronic", "Chronic Kidney Failure", "Coordination and Collaboration", "Data", "Data Aggregation", "Data Element", "Development", "Disease Management", "Fast Healthcare Interoperability Resources", "Funding", "Goals", "Health", "Health Status", "Home", "Hospitalization", "Individual", "Intervention", "Medical", "Methods", "National Institute of Diabetes and Digestive and Kidney Diseases", "Non-Insulin-Dependent Diabetes Mellitus", "Outcomes Research", "Patient-Focused Outcomes", "Patients", "Persons", "Post-Acute Sequelae of SARS-CoV-2 Infection", "Research", "System", "Technology", "Testing", "Trust", "United States Agency for Healthcare Research and Quality", "United States Dept. of Health and Human Services", "base", "care coordination", "care costs", "chronic pain", "community clinic", "data management", "data sharing", "data standards", "improved", "improved outcome", "interoperability", "mortality", "multiple chronic conditions", "patient oriented", "point of care", "satisfaction", "tool" ], "approved": true } }, { "type": "Grant", "id": "11681", "attributes": { "award_id": "1U01DA057849-01", "title": "Supported employment to create a community culture of SARS-CoV-2 rapid testing among people who inject drugs: PeerConnect2Test", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": null, "end_date": null, "award_amount": null, "principal_investigator": { "id": 26966, "first_name": "Camille C", "last_name": "Cioffi", "orcid": "https://orcid.org/0000-0003-2424-7473", "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "['psi.uoregon.edu']", "desired_collaboration": "", "comments": "", "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "", "keywords": [], "approved": true } }, { "type": "Grant", "id": "13498", "attributes": { "award_id": "75N95020D00011-0-759502300002-1", "title": "NCATS CYBERSECURITY SERVICES DIVISION PROGRAM SUPPORT", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-29", "end_date": "2024-02-28", "award_amount": 1427260, "principal_investigator": { "id": 29624, "first_name": "", "last_name": "", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, https://covid.cd2h.org/, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides IT security support for all of these enterprise IT efforts.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "14008", "attributes": { "award_id": "75N91021F00056-P00005-0-1", "title": "Laboratory to Perform Assays of Coagulopathy Biomarkers for the National Cancer Institute’s COVID-19 in Cancer Patients Study (NCCAPS)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-03-01", "end_date": "2024-02-28", "award_amount": 155897, "principal_investigator": { "id": 24006, "first_name": "EDWARD", "last_name": "WONG", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "Lab will conduct coagulopathy assays for NCI to analyze as part of a correlative science objective in NCI COVID-19 in Cancer Patients Study (NCCAPS): A Longitudinal Natural History Study, ClinicalTrials.gov Identifier: NCT04387656 https://clinicaltrials.gov/ct2/show/NCT04387656", "keywords": [ "Biological Assay", "Biological Markers", "Blood Coagulation Disorders", "COVID-19", "Cancer Patient", "Laboratories", "National Cancer Institute", "Natural History", "Science" ], "approved": true } }, { "type": "Grant", "id": "14380", "attributes": { "award_id": "316201200036W-P00003-759302200001-3", "title": "THE IMMUNOLOGY DATABASE AND ANALYSIS PORTAL (IMMPORT)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "NIH Office of the Director" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-30", "end_date": "2027-09-29", "award_amount": 822770, "principal_investigator": { "id": 30981, "first_name": "ATUL", "last_name": "BUTTE", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "As a NIH funded publicly accessible data sharing platform, ImmPort supports immunology research and clinical studies. ImmPort offers curated datasets and reference datasets that adhere to the FAIR Principles and is one of the few trustworthy biomedical data repositories certified by CoreTrustSeal. Within ImmPort, there are two specific datasets that are suitable for NAIRR pilots due to their high level of AI-readiness: the 10K Immunomes Project and the COVID-19 compendium. ImmPort make use of AWS though the NIH STRIDES program that can become a component of the open NAIRR program.", "keywords": [ "COVID-19", "Certification", "Clinical Research", "Data Set", "Databases", "Documentation", "FAIR principles", "Funding", "Immunology", "Infrastructure", "Process", "Readiness", "United States National Institutes of Health", "data access", "data integration", "data repository", "data resource", "data sharing", "programs", "research study", "sharing platform", "trustworthiness" ], "approved": true } }, { "type": "Grant", "id": "15499", "attributes": { "award_id": "75N95024C00025-0-9999-1", "title": "NCATS CYBERSECURITY SERVICES PROGRAM SUPPORT. POP: 07/29/2024 - 09/18/2024.", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2024-07-29", "end_date": "2024-09-18", "award_amount": 297510, "principal_investigator": { "id": 32046, "first_name": "MARK", "last_name": "BACKUS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": null, "abstract": "National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides IT security support for all of these enterprise IT efforts.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1392, "pages": 1392, "count": 13920 } } }