Every clca article tagged “data quality” — 17 technical pieces covering the topic from methodology, standards interpretation and practical application angles.
17 articles
Interpretation is the phase where an LCA questions its results rather than summarising them. The three ISO 14044 steps: significant issues; completeness, sensitivity and consistency checks; conclusions with uncertainty.
Read moreAn LCA report is the document that lets a reader arrive at the same result. The mandatory ISO 14044 content, the rules for third-party reports and comparative assertions, a section template and what is most often missing.
Read moreWithout precursor data the declaration falls to defaults. The contractual, technical and operational ways to get data out of suppliers.
Read moreDefaults are easy but expensive: by design they represent poor performance. What it costs to move to actual data, and what it returns.
Read moreA single-number GWP result hides the uncertainty behind it. The chain from pedigree matrix to lognormal distribution to the P10/P90 band.
Read moreThe EPDs you hold are the best data source for a corporate inventory — if you map the right modules to the right categories. Practical mapping rules.
Read moreSending a questionnaire is not collecting data. Segmentation, staged requests, template discipline and building supplier capability.
Read morePurchased goods and services is most companies’ largest emission line — and usually their worst-measured one. A staged method for raising data quality.
Read moreChoosing a background database is not a technical detail but a methodological decision that changes the result. Coverage, system models and why you must not mix.
Read moreModelling everything with primary data is neither possible nor necessary. The foreground-background split and allocating a data collection budget well.
Read moreAn LCA result is only as solid as its weakest assumption. One-at-a-time scans, hotspot analysis and how this differs from uncertainty.
Read moreNo LCA models every flow. How cut-off criteria are defined, the mass-energy-environmental relevance triad, and the most common mistake.
Read moreA BIM model already contains a bill of quantities. The real obstacle to connecting it to LCA is not software but material mapping.
Read moreLCI is the phase where every flow in and out of the system is counted. An LCA’s quality is decided here — and so is most of its effort.
Read moreComparing feature lists misleads. What actually decides it is database access, verifiability and fit with your workflow.
Read moreThe calculation itself is a multiplication. The hard part is deciding what to multiply, and making the number defensible.
Read moreThe multiplier in every carbon calculation. The source you pick moves the result noticeably, and the wrong factor is the most common calculation error.
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