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Research Toolkit

The Research Toolkit defines the core components that structure, operationalize, and communicate research within each domain. It provides a common architecture to ensure conceptual coherence, methodological rigor, and public value.

Dimension(s)

Component Description
Ontology Establishes the conceptual and categorical foundation of the domain — its key entities, relationships, and levels of organization. Clarifies what constitutes valid objects of study and how they interact.
Method(s) Specifies the analytical, computational, and empirical approaches used to investigate the domain. Includes model-building strategies, inference techniques, and validation procedures.
Data Sources Lists the primary and secondary data repositories underpinning research, such as surveys, administrative records, firm-level data, trade databases, or open scientific datasets.
Research Output Defines the expected deliverables and artifacts — such as reports, models, datasets, visualization tools, policy briefs, or publications — that emerge from the research process.
Quality Control Describes the mechanisms ensuring methodological rigor, data validity, and reproducibility. Includes peer review, replication protocols, code audits, and version-controlled research pipelines.
Communication Strategy Outlines how findings are synthesized, translated, and disseminated to different audiences. Includes knowledge visualization, open data practices, stakeholder engagement, and integration into public discourse.

References