How Reference Entries
Are Built and Verified.

Primary Source Identification

Every entry begins with identification of primary source data — peer-reviewed nutritional composition tables from recognised food data authorities, including the UK Nutrient Databank, USDA FoodData Central, and the European Food Composition database (EuroFIR). Anecdotal, product-sponsored, or single-author data sources are excluded at this stage.

A minimum of two primary sources per food category is required before a draft entry can proceed. Where sources disagree on macronutrient figures by more than 8%, a third independent source is sought and the discrepancy is noted in the archived entry.

Compositional Analysis & Data Structuring

Raw data is structured into the Tarinova Compositional Format (TCF) — a standardised entry schema covering macronutrient distribution per 100g, key micronutrient presence (with threshold flags for low, moderate, and notable concentrations), seasonal availability window, and preparation-method impact notes.

Preparation-method impact is one of the most consistently under-documented aspects of food composition in consumer-facing references. Tarinova records boiling, steaming, roasting, fermentation, and raw consumption separately where composition varies by more than 10% between methods.

Independent Cross-Verification

Structured draft entries are submitted to a third-party verification pass. This involves cross-referencing the draft against published independent datasets not used in Step 01, checking for rounding errors, unit inconsistencies, and misattributed figures.

Ingredient profiles in Tarinova content are selected based on published nutritional research and undergo independent batch verification for quality and labelling accuracy. The cross-verification step produces a verification record attached to each archived entry, documenting which data points were confirmed and which carry acknowledged uncertainty ranges.

Seasonal Calibration & UK Sourcing Context

Before an entry is published to the archive, it is reviewed for UK seasonal alignment. Compositional data derived from out-of-season, imported, or forced-cultivation produce is flagged explicitly — UK seasonal availability is a default frame of reference for all guidance content.

Active ingredients are sourced from documented suppliers, with each batch accompanied by a certificate of composition. Sourcing prioritises suppliers whose facilities maintain food-grade processing standards. This step also applies to reference suppliers whose compositional data underpins archive entries.

Archive Publication & Revision Scheduling

Verified entries are published to the archive with a datestamp, revision number, and data-confidence rating. High-confidence entries (three or more concordant sources, verified across preparation methods) carry a full-confidence marker. Entries with acknowledged uncertainty are flagged accordingly.

Each entry carries a scheduled next-review date — typically 12 months from publication. Entries whose subject area has seen significant new research are placed on an accelerated review schedule regardless of original publication date. All revisions are logged with a diff summary in the archive record.

All entries carry a scheduled annual review date. When significant compositional research is published for a specific food — particularly for foods subject to seasonal or cultivation-method variation — entries are placed on an accelerated review schedule and updated before the annual date. Every update is logged with a revision number and a brief note on what changed and why.

No. Tarinova compiles, structures, and independently verifies data produced by food composition research institutions and peer-reviewed publications. Original laboratory measurement is outside the studio's scope. Where original data would be required to resolve a significant inter-source discrepancy, the entry is published with a Provisional confidence rating pending resolution.

Discrepancies of less than 8% between primary sources are resolved by taking the mean value and noting the variance range. Discrepancies above 8% require a third independent source. If the third source does not resolve the conflict, the entry is published with the full range documented and a Partial confidence rating, so readers have complete visibility of the uncertainty in the data.

The archive primarily covers generic food categories — "whole rolled oats" rather than a specific brand, for example. Where a branded product is referenced in guidance content, its data is taken from the product's own labelling and explicitly noted as product-specific. Generic figures are always presented as the base reference, with branded notes as supplementary context only.

No. The archive is structured to be applicable across whole-food, plant-forward, and omnivore eating patterns. No single dietary framework is endorsed or recommended over another. Individual guidance consultations are built around the individual's existing eating pattern and practical circumstances — not a structured diet model.

Tarinova's editorial and verification methodology was developed by qualified wellness and nutrition professionals with backgrounds in food science documentation and nutritional analysis. We recommend speaking with a qualified wellness or nutrition professional before introducing any significant dietary change to your routine, particularly if you have specific dietary requirements.