Screening System Data Consortium Cooperative Research and Development Agreement (CRADA)

Other / Unclassified

This document is a Cooperative Research and Development Agreement (CRADA) between the Department of Homeland Security (DHS) and a collaborator. The primary purpose is to establish the Screening System Data Sharing (SSDS) Consortium. This consortium aims to collect, validate, curate, synthesize, and distribute screening system data to software developers to create robust and reliable threat detection algorithms for Transportation Security Equipment (TSE).

This CRADA outlines the framework for a consortium that will serve as a "marketplace" for data, algorithms, and ideas related to transportation security screening. Potential bidders interested in developing or improving threat detection algorithms for TSE may find this opportunity relevant. The consortium will facilitate data sharing among members, potentially accelerating development and reducing costs. Key aspects include:

• Objective: To create an open architecture approach for transportation security, enabling diverse products to address emerging threats.
• Data Sharing: Members will contribute and access diverse datasets for training and testing ML-enabled algorithms.
• Membership: The consortium includes DHS Science and Technology (S&T) Transportation Security Laboratory (TSL), DHS TSA, and other signatories. Interested parties can request membership.
• Data Submission: Data sets from various TSE modalities will be accepted in raw or processed forms. Specific metadata requirements are detailed.
• Intellectual Property: The agreement clarifies data ownership and intellectual property rights, stating that DHS does not gain ownership of data submitted or algorithms developed.
• Security: Requirements for DHS suitability, foreign national participation, and export control are outlined.
• Collaboration: The document details the roles and responsibilities of the parties, including TSL's management of the consortium and member obligations.

This document provides the foundational agreement for entities wishing to participate in the development and sharing of data and algorithms for advanced threat detection in transportation security.

Other / Unclassified

This document is an Industry Day Announcement for the Department of Homeland Security (DHS) Transportation Security Laboratory (TSL). It announces a two-day industry day event to be held at TSL in Egg Harbor Township, NJ, on February 18th and 19th. The purpose of the event is to present and gather feedback on a proposed framework for establishing a consortium through a Cooperative Research and Development Agreement (CRADA). This consortium aims to collect, curate, and distribute sensor data for concealed threat detection software development, particularly for machine learning-enabled algorithms.

This announcement is relevant to potential bidders interested in the development of screening system data and algorithm development. It outlines the government's initiative to create a consortium for sharing data and developing synthetic data for testing detection algorithms. The event will cover topics such as TSA's open-architecture initiative, data formats, synthetic data creation and use cases, evaluation processes, and consortium access methods. Interested organizations must register by January 9th, 2026, by emailing TSLINFO@ST.DHS.GOV with specific required information. The event aims to foster collaboration and gather feedback to refine the consortium framework, charter, and membership rules.

Other / Unclassified

This document announces a two-day industry day event hosted by the Department of Homeland Security's (DHS) Transportation Security Laboratory (TSL) on November 19th and 20th, 2025. The event is focused on establishing a Cooperative Research and Development Agreement (CRADA) consortium for synthetic data and algorithm development related to screening systems. The purpose is to present a proposed framework for developing, submitting, verifying, and validating real and synthetic data for training and testing detection algorithms.

• Event Details: The industry day will be held at the William J. Hughes Technical Center in Egg Harbor Township, NJ.
• Agenda Topics: Discussions will cover TSA's open-architecture initiative, testing and evaluation of machine learning algorithms, open data formats (e.g., DICOS), synthetic data creation and use cases, evaluation of synthetic data against real data, establishment of a data consortium, and methods for accessing consortium data.
• Registration: Interested parties must register by October 20th by emailing TSLINFO@ST.DHS.GOV with specific required information. Foreign nationals will undergo a security background check.
• Comments & Questions: Suggested agenda topics and questions should be submitted by October 10th to TSLINFO@ST.DHS.GOV.
• Outcomes: The event aims to foster collaboration, gather feedback to refine the consortium framework, and inform the development of a synthetic data validation process and data consortium framework.

Questions & Answers / Clarifications

This document contains questions and responses related to the TSL Data Consortium, likely in preparation for a forthcoming industry day or a related solicitation.

• Zero Trust Principles & AWS GovCloud: Deployment via AWS and other platforms is under discussion. Further details will be provided at the industry day.
• Agile Approach & Obsolescence: Integrating an agile approach can foster collaboration and iterative development. New tools or infrastructure will be addressed via a separate RFP.
• Data Governance & Access: The primary challenge is enabling effective, budget-conscious data access, not data governance itself. Tools will be subject to separate RFPs.
• Augmented Datasets: TSL assumes contributed datasets will be valuable. While members may use proprietary technology to enhance datasets, TSL will not review or attribute credit for such enhancements.
• Equitable Exchange & "Free-Rider" Problem: There is no baseline contribution requirement, but members who do not add value may receive limited benefit.
• Intellectual Property (IP): Algorithms trained on Consortium data remain the property of the developer, unless specifically sponsored by DHS. DHS is establishing a marketplace for hardware and algorithm developers.
• Data Formats: DICOS is the preferred format, but other formats will be considered.
• Synthetic Data: TSL will treat data fidelity and validity separately, aiming to accurately characterize fidelity for use cases. Correspondence between raw data and annotations must be accurate.
• CRADA Term: The CRADA has an initial period of performance of 3 years, with potential for indefinite renewal.

This Q&A document provides critical clarifications on consortium participation, data handling, IP rights, and technical approaches. Bidders should review these responses carefully as they may influence their understanding of the opportunity and their proposal strategy. Key topics like data access, IP, and future procurements (RFPs for tools/infrastructure) are addressed.

Request for Information (RFI)

This RFI is issued by the Department of Homeland Security (DHS) Science and Technology Directorate (S&T), in conjunction with the Transportation Security Laboratory (TSL), to gather information for establishing a consortium Cooperative Research and Development Agreement (CRADA). The goal is to create a marketplace for sharing sensor data (X-ray CT and millimeter wave) to support the development and transition of more capable threat detection software. This initiative aims to foster collaboration between algorithm developers, equipment manufacturers, software developers, testing laboratories, and end-users.

• Consortium CRADA Focus: Sharing of X-ray CT and millimeter wave data from baggage, personal property, air cargo, and on-person screening systems.

• Data Types: Includes stream of commerce items, prohibited items, threats, and objects, potentially including synthetically generated data.

• Data Management: TSL will manage and host the data, facilitating transfers via hard drives, secure file sharing, or cloud-based methods.

• Data Format: Data will be accessible to all consortium members, likely in DICOS format.

• Data Labeling: Generic labels or arbitrary classes up to SSI classification level.

• Membership: Both U.S. and foreign organizations are eligible but require suitability determination. Consortium members are prohibited from sharing data with non-members.

• Potential Outcomes: Successful algorithm development may lead to further testing and evaluation within TSL's developmental test and evaluation program.

• Submission Deadline: Interested parties must submit requested information by Wednesday, July 30, 2025, 2:00 PM EST.

• Submission Email: TSLINFO@ST.DHS.GOV

• Requested Information: RFI number, company name, country of origin, field of study/interest, point of contact details, and any comments/questions.

• Government Response: Comments may receive a written response and will be shared with interested parties. The Government may also schedule meetings with respondents.

• This RFI is for market research purposes only and does not constitute a solicitation for proposals or quotes.

• The Government will not pay for any response or demonstration expenses.

• Failure to respond will not preclude future participation in solicitations.

• Any information received becomes Government property and will not be returned.