# Observation and Human-Subject Research **Domain:** Austin Research / Surveillance **Doc Type:** Legal and methodological distinction **Source basis:** Supplied essay and the specifically identified records; verification scope is recorded in [[wiki/Austin Surveillance Evidence Ledger|the evidence ledger]]. **Observation and human-subject research** are overlapping but distinct categories. A system can deliberately collect information for a public-health or operational purpose without the activity being research under the applicable regulation. Conversely, research can involve human subjects through identifiable private information even without direct recruitment or interaction. ## The regulatory distinction The revised Common Rule’s **45 CFR 46.102(l)** defines research and specifies activities deemed not to be research for that part. These include qualifying public-health surveillance authorized by a public-health authority; collection and analysis solely for legally authorized criminal-justice or investigative purposes; and agency-determined authorized operational activities supporting intelligence, homeland-security, defense, or other national-security missions. These are scoped categories. A sponsor’s identity alone does not determine a project’s status. Section 46.102(e) also expressly includes research using or generating identifiable private information or identifiable biospecimens within its human-subject definition. Lack of a recruitment encounter therefore cannot settle the regulatory question. ## Chronology matters The inspected text is the 2020 CFR edition reflecting the revised Common Rule. HHS discusses the exclusions under the **2018 Requirements**. They should not be applied retroactively as the governing text for the 2002 UT proposals or the 2014–2017 BioEvent performance period. Historical classification requires the contemporaneous rule, agency policy, and project determination. ## Austin relevance The source essay’s central distinction survives this chronology: ordinary clinical encounters, aggregate search behavior, or environmental samples can supply information to an inference system without every contributor joining a research cohort. [[wiki/Whole Communities–Whole Health|Whole Communities–Whole Health]] supplies a contrasting documented model of enrolled longitudinal observation. [[wiki/Surety BioEvent App|BioEvent]] concerns source trust and inference; its regulatory classification must be established from its own records. The exclusion from this research definition does not itself provide collection authority, settle constitutional questions, or remove other data-use requirements. The practical inquiry is which activity, purpose, authority, identifiable data, and date govern each stage. ## Connected entries [[wiki/Biosurveillance|Biosurveillance]] · [[wiki/Whole Communities–Whole Health|Whole Communities–Whole Health]] · [[wiki/Surety BioEvent App|Surety BioEvent App]] · [[wiki/Syndromic Surveillance|Syndromic Surveillance]] · [[wiki/Structural Dual Use|Structural Dual Use]] · [[wiki/Population State Estimation|Population State Estimation]] ## Sources and corpus context - [[research/The Austin Surveillance Field|The Austin Surveillance Field]] - [45 CFR 46.102, 2020 edition, definition of research and exclusions](https://www.govinfo.gov/content/pkg/CFR-2020-title45-vol1/pdf/CFR-2020-title45-vol1-sec46-102.pdf) - [HHS OHRP — draft guidance on public-health surveillance under the 2018 Requirements](https://www.hhs.gov/ohrp/regulations-and-policy/requests-for-comments/draft-guidance-activities-deemed-not-be-research-public-health-surveillance/index.html) **Cluster:** [[wiki/Austin Surveillance Field|Austin Surveillance Field]] · [[wiki/Austin Executable Loop|Austin Executable Loop]] · [[wiki/Austin Surveillance Evidence Ledger|Austin Surveillance Evidence Ledger]]