2_use_case_name: Science Data Portal Autosuggest Search 
3_agency: Department of Commerce
3_abr: DOC
4_bureau: NIST - National Institute of Science and Technology
8_topic_area: Science & Space
10_commercial_ai: Searching for information using AI.
11_purpose_benefits: Assist end users is discovery,  access, and re-use of scientific,  engineering and technical information provided by bureau
12_outputs: Dynamically generated terms,  filtered and ranked for frequency
16_dev_stage: Operation and Maintenance
17_impact_type: Neither
18_date_initiated: 10/1/2021
19_date_acq_dev_began: 10/1/2021
20_date_implemented: 2/1/2022
22_dev_method: Developed in-house.
24_hisp_support: No
26_public_service: Enable increased self-service through an expansion of digital costumer service tools
27_public_info: Yes
28_iqa_compliance: N/A ; See https://www.nist.gov/director/nist-information-quality-standards
29_contains_pii: No
30_saop_review: Yes
31_data_catalog: Yes
33_agency_data: NIST public data repository metadata corpus
34_data_docs: Documentation has been partially completed: Some documentation exists (detailing the composition and any statistical bias or measurement skew for training and evaluation purposes), but documentation took place within this use case’s development.
35_demo_features: Other
35_question_type: Does not use any demographic variables.
37_custom_code: Yes
38_code_access: Yes – source code is publicly available.
39_code_link: https://github.com/usnistgov/oar-autocomplete
40_has_ato: No
41_system_name: https://data.nist.gov
42_dev_tools_wait: More than 12 months
43_infra_provisioned: No
45_compute_request: Yes
47_timely_resources: Yes
49_existing_reuse: Re-use production level code and/or data products: This use case re-uses production level code as well as data products that have been published or made widely available for data science teams for within the agency.
50_internal_review: Limited documentation for review: Some information regarding the model’s performance on specific benchmarks are available or have been shared with specific stakeholders within the agency.
51_extension_request: No – Agency did not request an extension for this use case.
52_impact_assessment: No
53_real_world_testing: Impact evaluation in operational environment: The AI use case has been tested in an operational environment before being fully implemented as a solution and has utilized randomized experiments with a control group or other counterfactual, social systems analysis, or other rigorous research methodologies to evaluate impact and identify potential harm to users as well as broader groups of people.
54_key_risks: Risk is low to no risk in use
55_independent_eval: Yes – by another appropriate agency office that was not directly involved in the system’s development
56_monitor_postdeploy: No monitoring protocols have been established: Necessary infrastructure needed to perform monitoring of AI systems in production is not available and/or a plan to monitor models has not yet been established.
57_autonomous_impact: No - Some individual decisions or actions require direct human oversight.
59_ai_notice: Online - in the terms or instructions for the service.
61_adverse_impact: No
63_stakeholder_consult: Direct user testing
65_appeal_process: Yes
66_no_appeal_reason: System provides customer support via email submission for feedback and questions/issues related to system Search functionality 
67_opt_out: Yes