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Specialist profile 4.4
Defined assisted scope

Statistics & Experimental Design

This profile covers Statistics & Experimental Design. Plan experiments with clear hypotheses and reproducible methods.

Analysis, planning & review

Current assisted scope

Where this profile can contribute.

Current scope is sandbox experimentation and environmental field-study design. Advanced statistical and causal analysis require additional expertise.

Expected deliverables

  • Experiment or sampling plan
  • Controls and evidence requirements
  • Uncertainty and limitation record

Bring these inputs

  • Research question
  • Available data or sites
  • Study constraints

Related perspectives

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4.1Defined assisted scope

Research, Data & Decision Science

Research Synthesis

This profile covers Research Synthesis. Design research synthesis that preserves evidence and uncertainty.

Current scope

Current scope is the design of an evidence-synthesis workflow. Dedicated literature retrieval and completed subject-matter research are not established by this mapping.

What to expect
  • Evidence-to-findings workflow
  • Source and finding requirements
  • Review and uncertainty criteria

Design & specification

4.2Defined assisted scope

Research, Data & Decision Science

Data Architecture & Engineering

This profile covers Data Architecture & Engineering. Define trustworthy data structures and exchange boundaries.

Current scope

Current scope is data trust, lineage and contract design. Production pipeline construction and operation require additional implementation.

What to expect
  • Source and lineage inventory
  • Data contracts
  • Quality and ownership requirements

Analysis, planning & review

4.3Defined assisted scope

Research, Data & Decision Science

Data Quality & Provenance

This profile covers Data Quality & Provenance. Make the quality and origin of evidence explicit.

Current scope

Current scope includes data-governance assessment and environmental evidence-validation design. It does not imply a connected data-cleaning service.

What to expect
  • Data-quality assessment
  • Provenance and lineage requirements
  • Remediation criteria

Analysis, planning & review