observation

METPO:1001000 · CLASS · REVIEWED

A data-collection or measurement context in which trait-relevant qualities of organisms, samples, or conditions are recorded.

Observation measurement upper-class context

DOI-backed upper-ontology context graph for observations as assay or measurement outputs about material entities and qualities. Child observation records are deprecated relation/value carriers and are not expanded as mechanistic trait nodes here.

Observation measurement upper-class context Interactive directed graph showing evidence-backed causal relationships for observation.

Edge evidence

  • assay or measurement process has output data item RO:0002234

    Assays and measurements generate data items.

    • DOI:10.1371/journal.pone.0154556 the output of an assay is typically a data item Supports assay outputs as data items.
  • data item records measured quality

    Observation data record a measured quality.

    • DOI:10.1371/journal.pone.0154556 measuring its glucose concentration Supports measurement outputs as records of qualities.
  • observation is about material entity

    Observation records are about material entities or samples and their qualities.

    • DOI:10.1371/journal.pone.0154556 can be about any material entity Supports observations and study outputs as about material entities.
  • observation has context geographic location

    Observation data items require contextual information about time and place of measurement.

    • DOI:10.3233/sw-223096 An observation data item requires a data structure to encompass the contextual information about the time and place etc. of a measurement.
  • assay or measurement process has specified input material entity with evaluant role

    An assay has a material entity with evaluant role as specified input.

    • DOI:10.3233/sw-223096 OBI: assay and has_specified_input some (material entity and has role some evaluant role); generalized, not microbe-specific.
  • assay or measurement process has output measurement datum RO:0002234

    An assay produces a measurement datum as output of the observation process.

    • DOI:10.3233/sw-223096 SOSA Result and IAO measurement datum are comparable outputs of an observation process.
  • planned process has specified input sample

    A planned process takes material entities such as samples as specified inputs.

    • DOI:10.3233/sw-223096 OBI has specified input/output pertain to planned process with material entities (for assays) as targets.
  • metadata recorded in MIxS reporting standard

    Sample/source-environment metadata is recorded using MIxS metadata elements.

    • DOI:10.1007/978-1-0716-3838-5_20 MIxS consists of a number of metadata elements that describe a particular characteristic of the sample or its source environment.
  • FAIR principles requires metadata unique identifier

    FAIR requires each object or dataset to have a unique identifier and rich metadata.

    • DOI:10.3389/fcimb.2024.1384809 FAIR requires each FAIR object or dataset have a unique identifier and be described with rich metadata.

Provenance

Source
METPO (2025-11-25)
Definition source
DOI:10.1371/journal.pone.0154556

kg-microbe context

Matched 1 kg-microbe node via direct_metpo.

  • METPO:1001000 [-0.035, -0.074, +0.047, +0.096, …]

512-dim DeepWalkSkipGramEnsmallen embedding from kg-microbe (2026-04-25).

Nearest neighbors in embedding space

Top-8 cosine-similar METPO traits from the 2026-04-25 deepwalk (512-D).

Deep research

Generated by just research-trait; source: research/traits/upper/observation-deep-research-falcon.md

Unreviewed literature output — not curated TraitMech content Ontology identifiers suggested below have not been resolved against their ontologies, and some are known to be wrong. Check any CURIE against the source before using it.
# Curation-focused report: microbial trait **observation**

**Target:** `METPO:1001000`  
**Category:** UPPER | **Kind:** CLASS | **Mapping:** REVIEWED

## Executive assessment

`METPO:1001000` should be modeled as an **investigation and measurement context**, not as a microbial phenotype, physiological capacity, pathway, or environmental preference. It connects an evaluant or specimen, its biological and environmental context, the assay and protocol used, the resulting data item, and any later interpretation. This reading is consistent with the supplied definition and with the Ontology for Biomedical Investigations (OBI), where an assay is a planned process whose output is typically a data item, while a conclusion is a separate information entity based on the generated data. (bandrowski2016theontologyfor pages 11-13, bandrowski2016theontologyfor pages 8-9)

Consequently, the most defensible TraitMech graph is a **measurement-provenance graph**. Genes, proteins, enzymes, pathways, metabolites, and electron donors or acceptors belong beneath a *specific observed microbial trait*—for example nitrate reduction, growth on glucose, or antimicrobial resistance—not directly beneath generic “observation.” Adding them to this upper class without a specified evaluant and assay would imply biological causality that the term does not express.

## 1. Scope and boundaries

### Positive scope

An observation context should capture:

1. **What was evaluated:** organism, strain, community, culture, specimen, or environmental sample.
2. **Under what conditions:** medium, temperature, pH, oxygen regime, exposure, location, collection time, host state, and other relevant biological or environmental metadata.
3. **How it was evaluated:** assay, protocol, instrument, reagents, sampling, preservation, extraction, sequencing, imaging, or other measurement processes.
4. **What was recorded:** qualitative call, numerical measurement, image-derived feature, taxonomic profile, sequence-derived feature, or another data item.
5. **How reliability was assessed:** controls, reference materials, replicates, calibration, detection limits, and quality-control data.
6. **What was inferred later:** a conclusion or phenotype assertion supported by—but not identical to—the observation datum.

OBI’s input–process–output pattern directly supports this interpretation: assays take material inputs and generate specified data outputs; protocols and study designs guide procedures; and conclusions based on data are distinguished from the data generated during study execution. (bandrowski2016theontologyfor pages 11-13, bandrowski2016theontologyfor pages 8-9, bandrowski2016theontologyfor pages 9-11)

### Boundary cases

- **Observation versus assay:** the assay is the planned measurement process; observation is the broader recording context that may include assay, evaluant, conditions, and output.
- **Observation versus data item:** a datum is the information output, not the entire context that generated it.
- **Observation versus conclusion:** “OD600 = 0.42” or “growth detected” is an observation/data output; “the strain can grow anaerobically on nitrate” is an interpreted trait assertion requiring stated conditions and decision criteria.
- **Observation versus phenotype:** phenotype is the organismal quality or disposition being estimated. The observation is evidence about that phenotype.
- **Observation versus observational study:** the target term is not restricted to epidemiological observational designs; it can cover laboratory, field, sequencing, imaging, and computationally derived measurement contexts.
- **Observation versus environmental preference:** temperature, pH, salinity, oxygen, nutrients, and host factors contextualize a measurement. They become causal biological factors only in a graph for a specified microbial response.
- **Observation versus in silico prediction:** a genome-scale model or classifier output may be recorded as a prediction, but it should not be represented as a direct experimental observation unless separately validated.

## 2. Candidate nodes grouped by type

### Core investigation entities

- **observation** — `METPO:1001000`
- assay — OBI candidate; verify the exact current OBI CURIE before YAML insertion
- investigation
- study design
- protocol / plan specification
- instrument or measurement device
- operator or laboratory
- computational analysis process
- conclusion based on data

### Material and biological entities

- evaluant
- specimen
- microbial isolate
- microbial strain
- microbial community
- culture
- environmental sample
- reference material

Showing the first 60 of 276 lines of findings; the linked file also carries the run's front matter and the prompt it was given — read the full report.

Curation history

  1. · SEEDED_FROM_METPO · seed_from_metpo

    imported from data/raw/metpo.owl (CLASS)

  2. · CURATED_UPPER_CONTEXT · codex

    Added definition, DOI-backed evidence, and a measurement-context graph for observation; deprecated observation child records were reviewed as relation/value carriers rather than standalone mechanistic traits.

  3. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (METPO:2000202×1).

  4. · ENRICH_CAUSAL_GRAPH · claude

    Added 6 evidence-backed generic edges (9 new nodes) from the deep-research report.

  5. · MIGRATE_MICROBE_DOMAIN_EDGES_PART2 · claude

    Re-grounded 1 causal edge(s) off microbe-domain METPO predicates onto their causal-graph counterparts (1 to produces), issue 301 part 2. The previous predicates are transitively rdfs:subPropertyOf METPO:2000001, whose rdfs:domain is METPO:1000525 (microbe), so a causal-graph subject entailed that the subject IS a microbe; CausalNodeTypeEnum has no organism member, so no such edge could ever satisfy the domain. Each replacement is a 1:1 mirror of its source predicate that changes only the domain, so the claim each edge makes is unchanged and directions are unchanged. The replacements are proposed in proposals/metpo_traitmech_v9 and are placeholder ids until METPO mints them.

  6. · GROUND_CAUSAL_PREDICATES · claude

    Grounded 1 causal-edge predicate_id field(s) via mappings/predicate_grounding.tsv (RO:0002234×1).

  7. · RETYPE_CAUSAL_NODE · claude

    Retyped assay_measurement from EXPERIMENTAL_FACTOR to BIOLOGICAL_PROCESS and moved its data_item edge from produces to has output (RO:0002234), issue 301. The node's own description calls it an investigation process and the record already carried a second has-output edge from it, so the EXPERIMENTAL_FACTOR typing was inconsistent with both. While it stood, the edge routed around the produces/has-output split - that split is spelled as node types, and the exclusion named only the three activity types - and landed on METPO:2007800, whose definition is about producing a chemical entity. Retyping also let the previously blocked measurement_datum has-output edge ground.