Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1385&sort=award_id
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=award_id", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1397&sort=award_id", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1386&sort=award_id", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1384&sort=award_id" }, "data": [ { "type": "Grant", "id": "10478", "attributes": { "award_id": "75N95021D00001-0-759502200008-2", "title": "STSS PROGRAM SUPPORT & STSS COVID-19 EMERGENCY RESPONSE 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": "2022-05-09", "end_date": "2022-08-15", "award_amount": 1500333, "principal_investigator": { "id": 26488, "first_name": "GARY", "last_name": "MAYS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Shared collaborative cloud environment, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the Rare Diseases Clinical Research Network program (RDCRN). The RDCRN is an initiative of the Division of Rare Diseases Research Innovation (DRDRI), National Center for Advancing Translational Sciences (NCATS). Made up of 20 disease research groups (Consortia) and a Data Management and Coordinating Center that work together improving the availability of rare disease information, treatment, clinical studies, and general awareness for both patients and the medical community.", "keywords": [ "Awareness", "COVID-19", "Clinical Research", "Communities", "Disease", "Emergency response", "Environment", "Medical", "National Center for Advancing Translational Sciences", "Patients", "Productivity", "Rare Diseases", "Research", "Services", "Translational Research", "Work", "analytical tool", "cloud based", "data management", "improved", "innovation", "open source", "programs", "tool" ], "approved": true } }, { "type": "Grant", "id": "8653", "attributes": { "award_id": "75N95021D00001-P00001-759502100005-1", "title": "STSS COVID-19 EMERGENCY RESPONSE 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": "2021-08-01", "end_date": "2021-12-31", "award_amount": 2620000, "principal_investigator": { "id": 24128, "first_name": "SUHAS", "last_name": "SHARMA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "The NCATS National COVID Cohort Collaborative (N3C) Data Enclave, a centralized and secure data platform featuring powerful analytics capabilities for online discovery, visualization and collaboration for researchers studying COVID-19. The data are robust in scale and scope and are transformed into a harmonized data set to help scientists study COVID 19, including potential risk factors, protective factors and long-term health consequences. The N3C Data Enclave is anticipated to be one of the largest collections of data on COVID-19 patients in the United States. Data analysis within the enclave is supported by both R and Python, the most widely used open-source platforms for statistical analysis and data science. Researchers requesting access to, or working within, the enclave are encouraged to assemble collaborative teams with diverse expertise in such areas as clinical research, statistical analysis and informatics to make the best use of the N3C Data Enclave. A core tenet of the enclave is that it is both accessible and secure, allowing researchers to pursue research in a safe environment conducive to collaborative discovery while also allowing for the deployment of a wide variety of open source tools and components.", "keywords": [ "Area", "COVID-19", "COVID-19 patient", "Clinical Research", "Collaborations", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Set", "Emergency response", "Environment", "Health", "Informatics", "Pythons", "Research", "Research Personnel", "Risk Factors", "Scientist", "Secure", "Statistical Data Interpretation", "United States", "Visualization", "cohort", "coronavirus disease", "data enclave", "data harmonization", "open source", "open source tool", "protective factors" ], "approved": true } }, { "type": "Grant", "id": "10468", "attributes": { "award_id": "75N95021D00001-P00001-759502200002-1", "title": "STSS COVID-19 EMERGENCY RESPONSE 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": "2022-01-01", "end_date": "2022-09-30", "award_amount": 3152000, "principal_investigator": { "id": 24128, "first_name": "SUHAS", "last_name": "SHARMA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "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 support for all of these enterprise IT efforts.", "keywords": [ "Area", "Award", "Businesses", "COVID-19", "COVID-19 patient", "Clinical Research", "Clinical and Translational Science Awards", "Collaborations", "Communities", "Complex Analysis", "Contracts", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Set", "Development", "Electronic Health Record", "Emergency response", "Ensure", "Environment", "Genomics", "Health", "Image", "Informatics", "Information Technology", "Ingestion", "National Center for Advancing Translational Sciences", "National Institute of General Medical Sciences", "Pathology", "Privacy", "Productivity", "Pythons", "Radiology Specialty", "Research", "Research Personnel", "Risk Factors", "Scientist", "Secure", "Security", "Services", "Statistical Data Interpretation", "Translational Research", "United States", "United States National Institutes of Health", "Viral", "Visualization", "Work", "analytical tool", "cloud based", "cohort", "coronavirus disease", "data enclave", "data harmonization", "genetic variant", "meetings", "multimodal data", "open source", "open source tool", "programs", "protective factors", "tool", "virtual" ], "approved": true } }, { "type": "Grant", "id": "10472", "attributes": { "award_id": "75N95021D00028-0-759502200001-1", "title": "NCATS LINKAGE HONEST BROKER (LHB) - PATIENT-CENTERED OUTCOMES RESEARCH (PCOR) TRUST FUND ASPE NATIONAL COVID-19 LONGITUDINAL RESEARCH DATABASE LINKED", "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": "2022-03-01", "end_date": "2023-02-28", "award_amount": 1199625, "principal_investigator": { "id": 25071, "first_name": "UMBERTO", "last_name": "TACHINARDI", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "National COVID-19 Cohort Collaborative (N3C): The N3C Data Enclave is a secure platform storing harmonized clinical data provided by more than 50 contributing members. The Enclave hosts over 651 million clinical observations on over 6.5 million persons, including over 2.1 million COVID cases, amounting to more than 7.3 billion rows of data. Harmonization, anonymity, and security is accomplished through the N3C privacy-preserving record linkage (PPRL). The PPRL uses a de-identified, software-generated token applied by a data contributor to each patient record. A linkage honest broker holds the de-identified tokens and provides a service matching token generated across disparate data sets without knowledge of the identity of the patients. The de-identified tokens are held separately from data residing within the data enclave. As an illustration of the PPRL process, Regenstrief generates a series of de-identified tokens using software provided by Datavant, Inc. The tokens are provided to a data provider, such as Hospital Network Alpha (HNA). HNA strips identifying PII from its clinical records and replaces the PII with the tokens. HNA then uploads the de-identified clinical records to N3C. If researchers require additional information about those records, they provide the token to Regenstrief, who passes it on to HNA without any knowledge of the underlying clinical data. HNA then provides the appropriate response. The linkage honest broker function is critical to the PPRL, which in turn is critical to continued use of the N3C Data Enclave by researchers. The salient characteristic of this requirement is the vendor’s ability to provide uninterrupted linkage honest broker support (harmonization, anonymity, and security) for the N3C Data Enclave.", "keywords": [ "COVID-19", "Characteristics", "Clinical", "Clinical Data", "Computer software", "Data", "Data Set", "Databases", "Funding", "Hospitals", "Knowledge", "Link", "National Center for Advancing Translational Sciences", "Outcomes Research", "Patient-Focused Outcomes", "Patients", "Persons", "Process", "Provider", "Records", "Research", "Research Personnel", "Secure", "Security", "Series", "Services", "Translational Research", "Trust", "Vendor", "cohort", "coronavirus disease", "data enclave", "member", "privacy preservation", "response" ], "approved": true } }, { "type": "Grant", "id": "10556", "attributes": { "award_id": "75N95021D00028-0-759502200002-1", "title": "NCATS LINKAGE HONEST BROKER SERVICES TO SUPPORT THE NATIONAL COVID COHORT COLLABORATIVE (N3C) DATA ENCLAVE (COVID-19)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Cancer Institute (NCI)", "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-29", "end_date": "2023-09-28", "award_amount": 3542761, "principal_investigator": { "id": 26571, "first_name": "SHAUN", "last_name": "GRANNIS", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1823, "ror": "", "name": "REGENSTRIEF INSTITUTE, INC.", "address": "", "city": "", "state": "IN", "zip": "", "country": "United States", "approved": true }, "abstract": "National COVID-19 Cohort Collaborative (N3C): The N3C Data Enclave is a secure platform storing harmonized clinical data provided by more than 50 contributing members. The Enclave hosts over 651 million clinical observations on over 6.5 million persons, including over 2.1 million COVID cases, amounting to more than 7.3 billion rows of data. Harmonization, anonymity, and security is accomplished through the N3C privacy-preserving record linkage (PPRL). The PPRL uses a de-identified, software-generated token applied by a data contributor to each patient record. A linkage honest broker holds the de-identified tokens and provides a service matching token generated across disparate data sets without knowledge of the identity of the patients. The de-identified tokens are held separately from data residing within the data enclave. As an illustration of the PPRL process, Regenstrief generates a series of de-identified tokens using software provided by Datavant, Inc. The tokens are provided to a data provider, such as Hospital Network Alpha (HNA). HNA strips identifying PII from its clinical records and replaces the PII with the tokens. HNA then uploads the de-identified clinical records to N3C. If researchers require additional information about those records, they provide the token to Regenstrief, who passes it on to HNA without any knowledge of the underlying clinical data. HNA then provides the appropriate response. The linkage honest broker function is critical to the PPRL, which in turn is critical to continued use of the N3C Data Enclave by researchers. The salient characteristic of this requirement is the vendor’s ability to provide uninterrupted linkage honest broker support (harmonization, anonymity, and security) for the N3C Data Enclave.", "keywords": [ "COVID-19", "Characteristics", "Clinical", "Clinical Data", "Computer software", "Data", "Data Set", "Hospitals", "Knowledge", "National Center for Advancing Translational Sciences", "Patients", "Persons", "Process", "Provider", "Records", "Research Personnel", "Secure", "Security", "Series", "Services", "Translational Research", "Vendor", "cohort", "coronavirus disease", "data enclave", "member", "privacy preservation", "response" ], "approved": true } }, { "type": "Grant", "id": "8705", "attributes": { "award_id": "75N95021D00029-0-759502100001-1", "title": "SECURE PLATFORMS SUPPORT FOR THE N3C DATA ENCLAVE (COVID-19)", "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": "2021-09-28", "end_date": "2022-02-20", "award_amount": 3771000, "principal_investigator": { "id": 23550, "first_name": "JULIE", "last_name": "BUSH", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1618, "ror": "", "name": "PALANTIR TECHNOLOGIES INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1737, "ror": "", "name": "PALANTIR TECHNOLOGIES, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "abstract": "The NCATS National COVID Cohort Collaborative (N3C) Data Enclave, a centralized and secure data platform featuring powerful analytics capabilities for online discovery, visualization and collaboration for researchers studying COVID-19. The data are robust in scale and scope and are transformed into a harmonized data set to help scientists study COVID 19, including potential risk factors, protective factors and long-term health consequences. The N3C Data Enclave is anticipated to be one of the largest collections of data on COVID-19 patients in the United States. Data analysis within the enclave is supported by both R and Python, the most widely used open-source platforms for statistical analysis and data science. Researchers requesting access to, or working within, the enclave are encouraged to assemble collaborative teams with diverse expertise in such areas as clinical research, statistical analysis and informatics to make the best use of the N3C Data Enclave. A core tenet of the enclave is that it is both accessible and secure, allowing researchers to pursue research in a safe environment conducive to collaborative discovery while also allowing for the deployment of a wide variety of open source tools and components.", "keywords": [ "Area", "COVID-19", "COVID-19 patient", "Clinical Research", "Collaborations", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Set", "Environment", "Health", "Informatics", "Pythons", "Research", "Research Personnel", "Risk Factors", "Scientist", "Secure", "Statistical Data Interpretation", "United States", "Visualization", "cohort", "coronavirus disease", "data enclave", "data harmonization", "open source", "open source tool", "protective factors" ], "approved": true } }, { "type": "Grant", "id": "10470", "attributes": { "award_id": "75N95021D00029-0-759502200001-1", "title": "N3C TASK", "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": "2022-02-21", "end_date": "2022-05-24", "award_amount": 5000000, "principal_investigator": { "id": 26481, "first_name": "BRIAN", "last_name": "ZAVERTNIK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1737, "ror": "", "name": "PALANTIR TECHNOLOGIES, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "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 Data Enclave is a secure platform storing harmonized clinical data provided by more than 60 contributing members. The Enclave hosts over 670 million clinical observations on over 6.8 million persons, including over 2.2 million COVID cases, amounting to more than 7.8 billion rows of data. To protect privacy, this data consists only of limited data sets, de-identified data sets, and synthetic data sets; there is no personally identifiable information kept in the Enclave. The Enclave resides in the NCATS Secure Scientific Platforms Environment. The Environment is a specialized cloud-based data aggregation and analytics enclave that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators. Within the Environment, multiple NIH ICs, Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators.", "keywords": [ "Advisory Committees", "Award", "COVID-19", "Clinical", "Clinical Data", "Clinical Research", "Clinical and Translational Science Awards", "Collaborations", "Data", "Data Aggregation", "Data Analytics", "Data Set", "Development", "Environment", "Health", "National Center for Advancing Translational Sciences", "National Institute of General Medical Sciences", "Personally Identifiable Information", "Persons", "Privacy", "Research", "Secure", "Translational Research", "United States National Institutes of Health", "cloud based", "cohort", "coronavirus disease", "data de-identification", "data enclave", "member", "programs" ], "approved": true } }, { "type": "Grant", "id": "10486", "attributes": { "award_id": "75N95021D00029-0-759502200002-1", "title": "SECURE PLATFORMS SUPPORT FOR THE N3C DATA ENCLAVE (COVID-19)", "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": "2022-05-25", "end_date": "2022-09-24", "award_amount": 4000000, "principal_investigator": { "id": 26481, "first_name": "BRIAN", "last_name": "ZAVERTNIK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1737, "ror": "", "name": "PALANTIR TECHNOLOGIES, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "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 Data Enclave is a secure platform storing harmonized clinical data provided by more than 60 contributing members. The Enclave hosts over 670 million clinical observations on over 6.8 million persons, including over 2.2 million COVID cases, amounting to more than 7.8 billion rows of data. To protect privacy, this data consists only of limited data sets, de-identified data sets, and synthetic data sets; there is no personally identifiable information kept in the Enclave. The Enclave resides in the NCATS Secure Scientific Platforms Environment. The Environment is a specialized cloud-based data aggregation and analytics enclave that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators. Within the Environment, multiple NIH ICs, Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators.", "keywords": [ "Advisory Committees", "Award", "COVID-19", "Clinical", "Clinical Data", "Clinical Research", "Clinical and Translational Science Awards", "Collaborations", "Data", "Data Aggregation", "Data Analytics", "Data Set", "Development", "Environment", "Health", "National Center for Advancing Translational Sciences", "National Institute of General Medical Sciences", "Personally Identifiable Information", "Persons", "Privacy", "Research", "Secure", "Translational Research", "United States National Institutes of Health", "cloud based", "cohort", "coronavirus disease", "data de-identification", "data enclave", "member", "programs" ], "approved": true } }, { "type": "Grant", "id": "10688", "attributes": { "award_id": "75N95021D00029-0-759502200003-1", "title": "SECURE PLATFORMS SUPPORT FOR THE N3C DATA ENCLAVE (COVID-19)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)", "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-25", "end_date": "2022-12-17", "award_amount": 4225000, "principal_investigator": { "id": 26481, "first_name": "BRIAN", "last_name": "ZAVERTNIK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1737, "ror": "", "name": "PALANTIR TECHNOLOGIES, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "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 Data Enclave is a secure platform storing harmonized clinical data provided by more than 60 contributing members. The Enclave hosts over 670 million clinical observations on over 6.8 million persons, including over 2.2 million COVID cases, amounting to more than 7.8 billion rows of data. To protect privacy, this data consists only of limited data sets, de-identified data sets, and synthetic data sets; there is no personally identifiable information kept in the Enclave. The Enclave resides in the NCATS Secure Scientific Platforms Environment. The Environment is a specialized cloud-based data aggregation and analytics enclave that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators. Within the Environment, multiple NIH ICs, Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators.", "keywords": [ "Advisory Committees", "Award", "COVID-19", "Clinical", "Clinical Data", "Clinical Research", "Clinical and Translational Science Awards", "Collaborations", "Data", "Data Aggregation", "Data Analytics", "Data Set", "Development", "Environment", "Health", "National Center for Advancing Translational Sciences", "National Institute of General Medical Sciences", "Personally Identifiable Information", "Persons", "Privacy", "Research", "Secure", "Translational Research", "United States National Institutes of Health", "cloud based", "cohort", "coronavirus disease", "data de-identification", "data enclave", "member", "programs" ], "approved": true } }, { "type": "Grant", "id": "14166", "attributes": { "award_id": "75N95021D00029-0-759502300001-1", "title": "SECURE PLATFORMS SUPPORT FOR THE N3C DATA ENCLAVE (COVID-19)", "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": "2022-12-18", "end_date": "2023-04-17", "award_amount": 6361494, "principal_investigator": { "id": 26481, "first_name": "BRIAN", "last_name": "ZAVERTNIK", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1737, "ror": "", "name": "PALANTIR TECHNOLOGIES, INC.", "address": "", "city": "", "state": "CO", "zip": "", "country": "United States", "approved": true }, "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 Data Enclave is a secure platform storing harmonized clinical data provided by more than 60 contributing members. The Enclave hosts over 670 million clinical observations on over 6.8 million persons, including over 2.2 million COVID cases, amounting to more than 7.8 billion rows of data. To protect privacy, this data consists only of limited data sets, de-identified data sets, and synthetic data sets; there is no personally identifiable information kept in the Enclave. The Enclave resides in the NCATS Secure Scientific Platforms Environment. The Environment is a specialized cloud-based data aggregation and analytics enclave that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators. Within the Environment, multiple NIH ICs, Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1385, "pages": 1397, "count": 13961 } } }