23.5.2022
EN
Official Journal of the European Union
L 144/205
Critical review – process intended to ensure consistency between an OEFSR and the principles and requirements of the OEF method.
Data quality – characteristics of data that relate to their ability to satisfy stated requirements.
Data quality covers various aspects, such as technological, geographical and time-related representativeness, as well as completeness and precision of the inventory data.
Data quality rating (DQR) - semi-quantitative assessment of the quality criteria of a dataset based on technological representativeness, geographical representativeness, time-related representativeness, and precision.
The data quality shall be considered as the quality of the dataset as documented.
Delayed emissions - emissions that are released over time, e.g. through long use or final disposal stages, versus a single emission at time t.
Direct elementary flows (also named elementary flows) – all output emissions and input resource use that arise directly in the context of a process.
Examples are emissions from a chemical process, or fugitive emissions from a boiler directly onsite.
Direct land use change (dLUC) – the transformation from one land use type into another, which takes place in a unique land area and does not lead to a change in another system.
Directly attributable – refers to a process, activity or impact occurring within the defined system boundary.
Disaggregation – the process that breaks down an aggregated dataset into smaller unit process datasets (horizontal or vertical).
The disaggregation may help make data more specific.
The process of disaggregation should never compromise or threaten to compromise the quality and consistency of the original aggregated dataset.
Downstream – occurring along a product supply chain after the point of referral.
Ecotoxicity, freshwater – EF impact category that addresses the toxic impacts on an ecosystem, which damage individual species and change the structure and function of the ecosystem.
Ecotoxicity is a result of a variety of different toxicological mechanisms caused by the release of substances with a direct effect on the health of the ecosystem.
EF communication vehicles – all the possible ways that may be used to communicate the results of the EF study to the stakeholders (e.g. labels, environmental product declarations, green claims, websites, infographics, etc.).
EF compliant dataset – dataset developed in compliance with the EF requirements regularly updated by DG JRC (2).
Electricity tracking (3) – the process of assigning electricity generation attributes to electricity consumption.
Elementary flows – in the life-cycle inventory, elementary flows include ‘material or energy entering the system being studied that has been drawn from the environment without previous human transformation, or material or energy leaving the system being studied that is released into the environment without subsequent human transformation‘.
Elementary flows include resources taken from nature or emissions into air, water, soil that are directly linked to the characterisation factors of the EF impact categories.
Environmental aspect – element of an organisation’s activities or products or services that interacts or can interact with the environment.
Environmental Footprint (EF) impact assessment – phase of the OEF analysis aimed at understanding and evaluating the magnitude and significance of the potential environmental impacts for a product system throughout the life-cycle of the product.
The impact assessment methods provide impact characterisation factors for elementary flows to aggregate the impact so as to obtain a limited number of midpoint indicators.
Environmental Footprint (EF) impact assessment method – protocol for converting the life-cycle inventory data into quantitative contributions to an environmental impact of concern.
Environmental Footprint (EF) impact category – class of resource use or environmental impact to which the life-cycle inventory data are related.
(2) https://eplca.jrc.ec.europa.eu/permalink/Guide_EF_DATA.pdf (3) https://ec.europa.eu/energy/intelligent/projects/en/projects/e-track-ii