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B -- Methods for Data Quality Assessment and Measurement

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Reference-Number-02-20-0868Federal

Contract Overview

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AI Contract Overview

The Department of Transportation’s Bureau of Transportation Statistics (BTS) intends to award a non-competitive contract to the National Institute of Statistical Sciences (NISS) to conduct a study titled "Methods for Data Quality Assessment and Measurement." This project aims to leverage NISS’s unique expertise in evaluating and ensuring the statistical accuracy, reliability, and appropriateness of data quality measures used in federally disseminated information. The study will review and enhance BTS’s statistical methodologies for assessing data quality by incorporating state-of-the-art techniques and independent outside expertise. NISS is uniquely qualified to undertake this work due to its extensive connections with the US statistical, mathematical, social, and policy science communities, as well as its specialized focus on federal data quality, confidentiality, and integration. Established by prominent national statistical organizations and universities, and affiliated with major government agencies, NISS is widely respected within the statistical community. Its mission is centered on advancing cross-disciplinary research, particularly in complex areas like data quality, positioning it as the optimal institution to provide rigorous, innovative solutions for BTS’s assessment needs. The contract, referenced as number 02-20-0868, originates from the Department of Transportation’s office in Washington, DC.

General Info

Non-competitive contract awarded to NISS for enhancing BTS data quality assessment methods.

Agency

Department Of Transportation → 693JK4 Ost

NAICS

541720 - Research and Development in the Social Sciences and Humanities

Place of Performance

Set-Aside

NONE

Documents

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Timeline

PhasePresolicitation

PostedJul 31

Presolicitation

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Organization & Contact Information

AgencyDepartment Of Transportation → 693JK4 Ost

ContactsNo contacts available

OfficeWASHINGTON, DC, 20590, USA

Organization / AgencyDepartment Of Transportation → 693JK4 Ost

Office AddressWASHINGTON, DC, 20590, USA

ContactsNo contact information available

Full Description

The Department of Transportation's TASC Acquisition Services plans to award a non-competitive purchase order to the National Institute of Statistical Sciences (NISS) of Research Triangle Park, NC, on behalf of the Bureau of Transportation Statistics (BTS). The purpose of the project is to conduct a study entitled "Methods for Data Quality Assessment and Measurement." The purpose of the study is to obtain independent outside expertise to ensure that the BTS statistical methodology for assessing data quality represents the state of the art, and that any ratings and measures of data quality derived from the assessments are both appropriate for Federally disseminated information and statistically accurate and reliable. The Bureau of Transportation Statistics believes that NISS is the only organization with the unique combination of strengths to conduct this study, such as these listed: (1) As a National institute, NISS has unique access to the US statistics, mathematics, and scientific communities, and has extensive contacts as well in the social and policy sciences. Its extreme breadth enables it to address a wide range of problems in the development of new theory and methodology; (2) NISS has a focus on data quality with an emphasis on Federal statistics. It has proven experience and accomplishments in areas that are tied closely to data quality, including data confidentiality and data integration; (3) NISS is widely recognized and respected in the statistical community. It was established by national statistical organizations (including the American Statistical Association) and the Research Triangle Universities. Its affiliates include major government statistical agencies (e.g. the Census Bureau, BLS, NCES, NIST), and major university departments of statistics, and (4) NISS has a strong record of success in cross-disciplinary research, especially in areas such as data quality, characterized by complex, ill-structured problems. It is the only organization in the country with the explicit mission of catalyzing new areas of cross-disciplinary research.