{"canonical":"https://abierto.us/opportunities/75d30123c17464","key":"75D30123C17464","url":"https://abierto.us/opportunities/75d30123c17464","title":"PFAS Multi-site Study Data Analysis/Management and Laboratory Coordination","solicitation_number":"75D30123C17464","notice_type":"u","open":false,"response_deadline":"2024-08-29T19:00:00Z","first_posted":"2024-08-14","last_posted":"2024-12-23","department":"HEALTH AND HUMAN SERVICES, DEPARTMENT OF","subagency":"CENTERS FOR DISEASE CONTROL AND PREVENTION","office":"CDC OFFICE OF ACQUISITION SERVICES","naics":"541690","psc":"B529","set_aside":null,"place_state":"MA","place_county":"25017","place_county_name":"Middlesex County","place_city":"2511000","place_city_name":"Cambridge","winner":"ABT GLOBAL LLC","award_amount":null,"publications":[{"notice_id":"52b4b0b837514344bd647e2b5e1303c9","title":"PFAS Laboratory Multi-Site Study Data Management Center Support","solicitation_number":"75D30123C17464","notice_type":"p","base_type":"p","posted":"2024-08-14","posted_at":null,"due_at":"2024-08-29T19:00:00Z","due_date":"2024-08-29","cancelled":null,"archived":null,"archive_date":"2024-09-13","award_number":null,"awardee_name":null,"amount":null,"link_sam":"https://sam.gov/workspace/contract/opp/52b4b0b837514344bd647e2b5e1303c9/view","enriched":false,"history":[]},{"notice_id":"837b1ece567a4750b6a08b96562353b1","title":"PFAS Multi-site Study Data Analysis/Management and Laboratory Coordination","solicitation_number":"88822","notice_type":"u","base_type":"u","posted":"2024-12-23","posted_at":null,"due_at":null,"due_date":null,"cancelled":null,"archived":null,"archive_date":"2025-01-22","award_number":"75D30123C17464","awardee_name":null,"amount":null,"link_sam":"https://sam.gov/workspace/contract/opp/837b1ece567a4750b6a08b96562353b1/view","enriched":false,"history":[]}],"latest_notice_id":"837b1ece567a4750b6a08b96562353b1","first_type":"p","notices":[{"dates":{"posted":"2024-08-14","response_deadline":{"raw":"2024-08-29T15:00:00-04:00","utc":"2024-08-29T19:00:00Z","date":"2024-08-29","time":"15:00:00","utc_offset_seconds":-14400}},"links":{"sam":"https://sam.gov/workspace/contract/opp/52b4b0b837514344bd647e2b5e1303c9/view"},"naics":{"codes":["541618"],"primary":"541618"},"title":"PFAS Laboratory Multi-Site Study Data Management Center Support","agency":{"office":{"code":"75D301","name":"CDC OFFICE OF ACQUISITION SERVICES"},"subtier":{"code":"7523","name":"CENTERS FOR DISEASE CONTROL AND PREVENTION"},"department":{"code":"075","name":"HEALTH AND HUMAN SERVICES, DEPARTMENT OF"},"office_address":{"zip":"30333","city":"ATLANTA","state":"GA","country":"USA"},"organization_type":"OFFICE"},"status":{"active":false,"archive_date":"2024-09-13","archive_type":"auto15"},"contacts":[{"name":"David Smythe","role":"primary","email":"kuz4@cdc.gov","phone":"7704882782"}],"base_type":{"code":"p","label":"Presolicitation"},"notice_id":"52b4b0b837514344bd647e2b5e1303c9","provenance":{"extract":{"url":"https://s3.amazonaws.com/falextracts/Contract%20Opportunities/Archived%20Data/FY2024_archived_opportunities.csv","etag":"\"d582488fe153a9f11bf629913d176ffc-137\"","fetched_at":"2026-09-16T19:07:39.720164Z","row_sha256":"436036b329d4215daeaabd42fb86342572d2f91c13c84840ce8a2df7a37e4145","last_modified":"2026-09-13T14:47:40Z"},"updated_at":"2026-09-16T19:07:39.720164Z","first_seen_at":"2026-09-16T19:07:39.720164Z"},"description":{"text":"The Centers for Disease Control and Prevention intends to award a sole source modification to 75D30123C17464 to Abt Associates to conclude 5 years of PFAS Multi-site Study Data Analysis/Management and Laboratory Coordination. The contractor is expected to coordinate data management/analysis and laboratory coordination activities amongst all seven recipients at the direction of the ATSDR PI and in accordance with the approved protocol. Data management includes variable review, manipulation, creation of derived variables per ATSDR specification and implementation of the QA/QC procedures with the goal to build the study dataset that has research variables to be used in the statical data analyses of data preparation of reports and study peer-reviewed manuscripts. Abt Associates are critical for providing follow-up services related to ongoing PFAS Multi-site Study, a 6-year study. The government and CoAg holders are finishing year 6 out of 6, having completed the 5th year. Due to the complexities of the laboratory coordination, database compilation and management (tens of thousands of variables), and intricate scientific collaboration across seven cooperative agreements, Abt is the only vendor who can continue work on the 6-year PFAS Multi-site study project. Now that the Cooperative Agreements are continuing for another year, it is crucial that Abt also get to do additional work to ensure their support continues. This is also why Abt is critical in this phase, as switching vendors in year 6 of a 6-year project after Abt has been supporting this CoAgs for the last 4 years would risk critical performance failure. This is a critical time in the 6-year project life cycle as the cooperative agreement partners and the ATSDR PI are working to finalize all project requirements. This contract action is for supplies or services for which the Government intends to solicit and negotiate with only one source under the authority of FAR 6.302-1 and 41 U.S.C.3304(a)(1). Interested persons may identify their interest and capability to respond to the requirement or submit proposals. This notice of intent is not a request for competitive quotations; however, all quotations/responses received within fifteen (15) days of the issuance of this notice will be considered by the government. A determination by the government not to compete this proposed contract based upon responses to this notice is solely within the discretion of the government. Information received will normally be considered solely for the purpose of determining whether to conduct a competitive procurement. Any quotation/response should be emailed to contract specialist at dsmythe@cdc.gov by 8/29/2024 at 3:00 PM Eastern Time.","origin":"extract"},"notice_type":{"code":"p","label":"Presolicitation"},"schema_version":1,"solicitation_number":"75D30123C17464","place_of_performance":{"country":{"code":"USA"}},"product_service_code":"R499"},{"award":{"date":"2024-09-16","number":"75D30123C17464"},"dates":{"posted":"2024-12-23","award_date":"2024-09-16"},"links":{"sam":"https://sam.gov/workspace/contract/opp/837b1ece567a4750b6a08b96562353b1/view"},"naics":{"codes":["541690"],"primary":"541690"},"title":"PFAS Multi-site Study Data Analysis/Management and Laboratory Coordination","agency":{"office":{"code":"75D301","name":"CDC OFFICE OF ACQUISITION SERVICES"},"subtier":{"code":"7523","name":"CENTERS FOR DISEASE CONTROL AND PREVENTION"},"department":{"code":"075","name":"HEALTH AND HUMAN SERVICES, DEPARTMENT OF"},"office_address":{"zip":"30333","city":"ATLANTA","state":"GA","country":"USA"},"organization_type":"OFFICE"},"status":{"active":false,"archive_date":"2025-01-22","archive_type":"auto30"},"contacts":[{"name":"David Smythe","role":"primary","email":"kuz4@cdc.gov","phone":"7704882782"}],"base_type":{"code":"u","label":"Justification"},"notice_id":"837b1ece567a4750b6a08b96562353b1","provenance":{"extract":{"url":"https://s3.amazonaws.com/falextracts/Contract%20Opportunities/Archived%20Data/FY2025_archived_opportunities.csv","etag":"\"d47226e3d2c6545974b252e103f82b34-139\"","fetched_at":"2026-09-16T19:12:38.374141Z","row_sha256":"8e99b44db0d8a95b5c62555b2e0e6583ec1b03c8f70287cf6e4166f65b3e025b","last_modified":"2026-09-13T14:49:20Z"},"updated_at":"2026-09-16T19:12:38.374141Z","first_seen_at":"2026-09-16T19:12:38.374141Z"},"description":{"text":"See attached JOFOC. Summary below. The contractor is expected to coordinate data management/analysis and laboratory coordination activities amongst all seven recipients at the direction of the ATSDR PI and in accordance with the approved protocol. • Data management includes variable review, manipulation, creation of derived variables per ATSDR specification and implementation of the QA/QC procedures with the goal to build the study dataset that has research variables to be used in the statical data analyses of data preparation of reports and study peer-reviewed manuscripts. Increased competition • The raw data capture often results in variables that are not useful for data analyses. The goal of the task is to create comprehensive data with all variables properly labeled and derived variable descriptions and notations which shall be captured in the MSS data dictionary. The draft data dictionary is a ‘live’ document that the contractor shall update in coordination and under direction of the ATSDR until the document is finalized. The MSS data dictionary shall be based on Pease data dictionary and adjusted as needed in coordination with ATSDR. • The contractor shall assign well qualified and properly trained personnel with experience in data management of large epidemiologic studies using extensive exposure data, health outcomes, and clinical test and biomarkers data. In addition, the contractor should plan for extensive labor requirements as the data captured by implementing the core protocol and analyzing collected biospecimen generate about 4,500 variables. There are also about 2,000 derived variables to be created and modified per ATSDR specifications, as well as an estimated several hundred site specific variables for each of seven recipients. Insight on effective contract structure • Proficiency in SAS and/or R programming and experience with data management tasks is essential to complete these tasks. • Insight on metrics related to cost, schedule, and performance in the delivery of services (e.g., considerations such as adequate application of skill mix, efficiency in processes to establish cost avoidance, and reduced rework) • The Contractor shall follow data management and QC and QA plans to be provided by CDC/ATSDR. Additional QA/QC checks may be performed by CDC/ATSDR. A quality control checklist was provided to the Contractor. The Contractor shall be responsible for resolving issues with missing or incorrect data and periodically (monthly) reviewing the nature and pattern of QC check with ATSDR. The Contractor shall program study instruments in REDCap and adjust data quality checks that allow for correction of errors or inconsistencies as needed and as directed by ATSDR. • As data collection is ongoing, the Contractor shall also conduct key diagnostic checks regularly, including batch running data quality rules to identify discrepancies and creating and running customized SAS code or R scripts that check for missing, inconsistent, or erroneous values in key study variables • The Contractor shall then run the data through a customized R script or SAS program before each data delivery to clean data. • Data cleaning steps shall include applying formats and labels, recording values (as needed), and creating derived variables as requested by CDC/ATSDR.","origin":"extract"},"notice_type":{"code":"u","label":"Justification"},"schema_version":1,"solicitation_number":"88822","place_of_performance":{"city":{"name":"Cambridge"},"state":{"code":"MA"},"country":{"code":"USA"}},"product_service_code":"B529"}],"due_at":"2024-08-29T19:00:00Z","due_date":"2024-08-29","closes_at":"2024-08-29T19:00:00Z","awardable":false,"dept_key":"d-075","dept_name":"HEALTH AND HUMAN SERVICES, DEPARTMENT OF","sub_key":"s-7523","sub_name":"CENTERS FOR DISEASE CONTROL AND PREVENTION","office_key":"o-75D301","office_name":"CDC OFFICE OF ACQUISITION SERVICES","state":"MA","county":"25017","county_name":"Middlesex County","city":"2511000","city_name":"Cambridge","country":"USA","winner_key":"X1ZXL81Y8E18","amount":null,"linked_awards":2,"cancelled":false,"archived":false,"updated_at":"2026-09-16T21:18:12.857524Z","principal_notice_id":"837b1ece567a4750b6a08b96562353b1","description":{"text":"See attached JOFOC. Summary below. The contractor is expected to coordinate data management/analysis and laboratory coordination activities amongst all seven recipients at the direction of the ATSDR PI and in accordance with the approved protocol. • Data management includes variable review, manipulation, creation of derived variables per ATSDR specification and implementation of the QA/QC procedures with the goal to build the study dataset that has research variables to be used in the statical data analyses of data preparation of reports and study peer-reviewed manuscripts. Increased competition • The raw data capture often results in variables that are not useful for data analyses. The goal of the task is to create comprehensive data with all variables properly labeled and derived variable descriptions and notations which shall be captured in the MSS data dictionary. The draft data dictionary is a ‘live’ document that the contractor shall update in coordination and under direction of the ATSDR until the document is finalized. The MSS data dictionary shall be based on Pease data dictionary and adjusted as needed in coordination with ATSDR. • The contractor shall assign well qualified and properly trained personnel with experience in data management of large epidemiologic studies using extensive exposure data, health outcomes, and clinical test and biomarkers data. In addition, the contractor should plan for extensive labor requirements as the data captured by implementing the core protocol and analyzing collected biospecimen generate about 4,500 variables. There are also about 2,000 derived variables to be created and modified per ATSDR specifications, as well as an estimated several hundred site specific variables for each of seven recipients. Insight on effective contract structure • Proficiency in SAS and/or R programming and experience with data management tasks is essential to complete these tasks. • Insight on metrics related to cost, schedule, and performance in the delivery of services (e.g., considerations such as adequate application of skill mix, efficiency in processes to establish cost avoidance, and reduced rework) • The Contractor shall follow data management and QC and QA plans to be provided by CDC/ATSDR. Additional QA/QC checks may be performed by CDC/ATSDR. A quality control checklist was provided to the Contractor. The Contractor shall be responsible for resolving issues with missing or incorrect data and periodically (monthly) reviewing the nature and pattern of QC check with ATSDR. The Contractor shall program study instruments in REDCap and adjust data quality checks that allow for correction of errors or inconsistencies as needed and as directed by ATSDR. • As data collection is ongoing, the Contractor shall also conduct key diagnostic checks regularly, including batch running data quality rules to identify discrepancies and creating and running customized SAS code or R scripts that check for missing, inconsistent, or erroneous values in key study variables • The Contractor shall then run the data through a customized R script or SAS program before each data delivery to clean data. • Data cleaning steps shall include applying formats and labels, recording values (as needed), and creating derived variables as requested by CDC/ATSDR.","html":null,"origin":"extract"},"contacts":[{"name":"David 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