SPECIAL NOTICE
99 -- NCI OA Special Notice of Subcontract Opportunity at the Frederick National Laboratory for Cancer Research
- Notice Date
- 1/12/2021 9:11:49 AM
- Notice Type
- Special Notice
- NAICS
- 541512
— Computer Systems Design Services
- Contracting Office
- NIH National Cancer Institute Rockville MD 20850 USA
- ZIP Code
- 20850
- Solicitation Number
- 21X113F
- Response Due
- 2/10/2021 4:00:00 PM
- Archive Date
- 02/25/2021
- Point of Contact
- Dan Reichlin
- E-Mail Address
-
Daniel.Reichlin@nih.gov
(Daniel.Reichlin@nih.gov)
- Description
- Description: �National Institutes of Health, National Cancer Institute, Frederick National Laboratory for Cancer Research Opportunities-Special Announcements: This Special Notice is not a formal Invitation for Bid (IFB), Request for Proposal (RFP), Request for Quotation (RFQ) nor any type of solicitation for offers. In accordance with FAR 15.201(d), this special notice is intended FOR INFORMATIONAL PURPOSES ONLY in order to: 1) publicize the requirements of the Frederick National Laboratory for Cancer Research (FNLCR); and 2) increase participation by qualified HUBZone small business, small, small disadvantaged, women-owned small business, veteran-owned small business and service-disabled veteran-owned small business concerns, as applicable. The FNLCR is a Government-Owned Contractor-Operated (GOCO) Federally Funded Research and Development Center (FFRDC) located at Fort Detrick, Maryland. The FNLCR partners with university, government, and corporate scientists to speed the translation of laboratory research into new diagnostic tests and treatments for cancer and AIDS. FNLCR is a multi-program laboratory currently operated by Leidos Biomedical Research Inc. for the National Cancer Institute (NCI) under Prime Contract No. 75N91019D00024, which provides Operations and Technical Support (OTS) for the Frederick National Lab. The Government assumes no liability for reimbursement for any effort or associated costs to respond, nor for any information provided as a result of this notice as no information is being requested. Please be advised that any submissions provided despite the aforementioned notice that no information is requested become Government property and will not be returned, nor will there be any ensuing discussions or debriefings of any responses. Responses submitted to this notice are not offers and cannot be accepted by the U.S. Government to form a binding contract. It is the responsibility of the interested parties to monitor this site and any sites referenced herein for additional information pertaining to business opportunities with the FNLCR, if any. Title:� �� NIAID Data Ecosystem Framework (NDEF) Project Background and Objectives:������� A. Project Background The National Institute of Allergy and Infectious Diseases (NIAID) is the nation�s premier medical research institute within the National Institutes of Health (NIH) focused on leading basic, preclinical, and clinical research to inform the development and testing of new and improved vaccines, therapeutics, and diagnostics to treat, and prevent infectious and immune-mediated diseases. NIAID�has a unique mandate, which requires the Institute to respond to emerging public health threats, while maintaining the capacity to quickly launch a research response to newly emerging and re-emerging infectious diseases. It advances the understanding, diagnosis, and treatment of many of the world�s most intractable and widespread diseases. Key research areas include newly emerging and re-emerging infectious diseases such as tuberculosis and influenza, HIV/AIDS, biodefense, and immune-mediated diseases including asthma and allergy. The data from these studies encompass a variety of data types - molecular (including multiple omics), imaging (microscopy and radiological), physiological, anatomical, clinical, behavioral, epidemiological, and environmental. The volume and complexity of these data types are growing rapidly in NIAID/NIH funded repositories, knowledgebases, data management centers and other data resources. As a result, the research community is increasingly faced with data challenges, including those to effectively and efficiently manage - collect, store, integrate, query, and analyze complex and diverse data. These challenges make it difficult to effectively transform the data into actionable insights and their translation into diagnostics, therapeutics, vaccines as well as to gain a better understanding of pathogenesis, disease transmission, pathogen evolution, pathogen-host interaction, host response to infection, therapeutic intervention, and immune function and dysfunction.� In order to improve the utility of NIAID�s data and other digital assets as well as reduce overall operational costs, a robust solution design framework is critical. This platform is expected to support infectious and immune-mediated disease research, allow data to be queried and analyzed in an integrated, cross-domain manner, and provide nimble mechanisms for new data sources to be discovered and used as they are made available. B. Objectives The objective of this project is to establish and maintain a federated data ecosystem for NIAID. In this ecosystem, the data stewards/owners of individual sources of data will continue to maintain control of data storage, security and management while allowing the ecosystem users to access and analyze the data upon request. As such, this ecosystem is not a Commons nor is it a Data Management Center (DMC) for data storage and harmonization. This federated approach is expected to facilitate discovery, as well as the long-term sustainability for data sharing and analysis. The Data Ecosystem Framework (DEF) will be an open-source technical gateway that will provide a secure environment where users will be able to find, access, query, and analyze the data from select NIAID repositories, knowledgebases, and other relevant resources. Users will be provided training and documentation on understanding and using the DEF. Ecosystem usage metrics tracked will enable NIAID to determine and continue to support the high-value digital assets. This gateway should be a web accessible system which provides an interface to allow users to browse, access and analyze data from various NIAID resources.� The following describes increasingly complex levels of finding, accessing and analyzing data on the system.� Capability to discover NIAID data sets Capability to perform analysis on available NIAID data sets Capability to combine user data with NIAID� data and perform analysis Capability to aggregate multiple harmonized NIAID data sets and perform analysis across these data Leidos Biomedical Research, Inc. POC:��� For a copy of RFP 21X113F, please contact: Dan Reichlin, Senior Subcontracts Administrator, at: Daniel.Reichlin@nih.gov For information concerning other opportunities with the FNLCR, please refer to: https://frederick.cancer.gov/workwithus/solicitations/21x113f
- Web Link
-
SAM.gov Permalink
(https://beta.sam.gov/opp/e0e851c3b6584d1283e1e14e7676bb3e/view)
- Record
- SN05889889-F 20210114/210112230108 (samdaily.us)
- Source
-
SAM.gov Link to This Notice
(may not be valid after Archive Date)
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