TxP: Federated Data Discovery and Content Creation (FDDCC) KDP-Formulation (ITMX)

Overview

Development stage

In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.

High-impact designation

Not high-impactSource: c) Not high-impact

Impact justification

Not reported

Start date

Not reported

Withheld from public reporting

Yes (disclosure risk)Source: b) Yes – agency has determined that there’s a risk to disclosure, such as a harm to an interest protected by a FOIA exemption

Mission

Topic area

Science

Operational functions

No function tag matched Derived by keyword rules; see methodology

Problem the AI is intended to solve

The FDDCC project is guided by a set of core objectives aimed at transforming how data is accessed, managed, and utilized across the agency. These objectives focus on enhancing data discoverability, ensuring secure access, improving system scalability, and fostering a user-centered experience.

Expected benefits

NASA has amassed a significant trove of data that holds the potential to drive advancements across numerous domains. However, the organization faces significant challenges in harnessing this potential. Much of its valuable data remains trapped within isolated legacy systems, creating silos that hinder efficient access and use. This segmentation is further complicated by the dual locations of these systems – both in the cloud and on-premises – with each presenting its unique set of access challenges due to firewalls, security control boundaries and other barriers. Numerous distributed systems within NASA provide localized search functions for their specific datasets. These capabilities, which cater to both structured and unstructured data, highlight the latent potential and need for a comprehensive approach that can unify and streamline data and information access across the entire organization. By developing a unified search interface, implementing robust identity and access management, creating a comprehensive data catalog, and building a scalable infrastructure, the FDDCC project seeks to empower users to efficiently find, access, and manage data. Additionally, the project emphasizes user satisfaction through continuous feedback and iterative improvements, ensuring that the platform meets the evolving needs of the agency.

System outputs

a unified search interface

Technology

AI classification

Generative AISource: Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).

System name(s)

Not reported

Custom-developed code

Not reported

Public source code

Not reported

Sourcing

How it was built

Not reported

Vendor (as reported)

Not reported

Vendors (standardized)

None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII

Not reported

Privacy Impact Assessment

Not reported

Authorization to Operate

Not reported

Demographic features

Not reported

Training and evaluation data

Not reported

Federal Data Catalog

Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Potential impacts and how they were identified

Not reported