
DEISO LCA Data Collection System™ — Structured Cradle-to-Grave Data Framework Template
DEISO LCA Data Collection System™
A professional Microsoft Excel-based system designed to standardize, accelerate, and de-risk Life Cycle Assessment (LCA) data collection across cradle, use phase, and grave stages.
How to Use Each Sheet in the DEISO LCA Data Collection System™
The table below explains the purpose of each sheet and how to use it correctly within the cradle-to-grave LCA workflow.
| Sheet Name | Purpose | How to Use |
|---|---|---|
| Copyright | Defines DEISO ownership, template identity, and legal notice. | Review this sheet first. Do not modify legal content when sharing externally. |
| Framework_Overview | Explains the ISO 14040/14044 cradle-to-grave logic of the system. | Read before data entry to understand structure and relationships between sheets. |
| Cradle | Guides how to allocate upstream, material, and manufacturing data. | Use as a reference when deciding whether data belongs in BOM_Packaging, Manufacturing, or Logistics. |
| Project_Setup | Defines study scope, functional unit, and system boundary. | Complete first. Ensure all inputs are aligned with the functional unit before proceeding. |
| Product_Portfolio | Defines products for single or comparative LCA. | Assign a unique Product ID and reuse it across all sheets. |
| BOM_Packaging | Captures raw materials, components, packaging, and upstream sourcing. | Enter material data linked to Product ID and functional unit. Include origin, supplier, and data source. |
| Manufacturing | Captures factory processes, energy use, emissions, and waste. | Use for all operations within the factory gate. Record processes, inputs, outputs, and losses. |
| Logistics | Captures transport across cradle and grave stages. | Separate inbound transport, distribution, installation, and end-of-life transport clearly. |
| Use Phase | Captures product use, maintenance, energy, and operational inputs. | Define realistic use scenarios, lifetime assumptions, and consumption patterns. |
| End_of_Life | Captures disposal, recycling, and waste processing logic. | Define treatment pathways, recycling rates, and final disposal scenarios. |
| Grave | Explains how to interpret end-of-life data blocks. | Use as a guidance sheet to correctly assign data between End_of_Life and Logistics. |
| Dashboard | Provides completeness tracking and data quality visibility. | Monitor progress, identify missing data, and review overall data readiness. |
| Comparison | Compares multiple products for data completeness and structure. | Use for comparative LCA setup and to check consistency across products. |
The Framework Concept Behind the DEISO LCA Data Collection System™
The DEISO LCA Data Collection System™ is built on a structured, logic-driven framework designed to transform how Life Cycle Assessment (LCA) data is collected, organized, and validated. Rather than treating data collection as a fragmented or ad hoc process, the system establishes a clear methodological architecture aligned with ISO 14040 and ISO 14044 principles.
From Fragmented Data Collection to Structured LCA Architecture
Traditional LCA data collection often suffers from inconsistent formats, unclear system boundaries, and repeated communication cycles between consultants and clients. This framework addresses these issues by introducing a predefined structure that enforces clarity, consistency, and traceability across all life cycle stages.
Core Structural Logic: Cradle – Use Phase – Grave
The framework is built around a clear separation of life cycle stages, ensuring that all data is captured in the correct context:
- Cradle: Raw material extraction, upstream processing, inbound transport, and manufacturing activities before the product leaves the factory gate.
- Use Phase: Operational use, maintenance, energy consumption, and functional performance over the product lifetime.
- Grave: End-of-life activities including collection, transport, recycling, waste processing, and final disposal.
Functional Separation of Data Across Sheets
Each sheet within the system represents a specific function within the LCA workflow. This separation ensures that:
- Material data is captured independently from manufacturing processes
- Transport is isolated as a cross-cutting activity across life cycle stages
- Use phase assumptions are clearly defined and traceable
- End-of-life scenarios are structured and not mixed with operational data
Key Principle: Data Must Be Placed Where It Occurs
The framework enforces a strict rule: each dataset must be recorded in the sheet corresponding to the actual life cycle stage in which it occurs. This eliminates ambiguity and improves both model accuracy and audit readiness.
Product-Centric Data Integration
The system is designed around a Product ID logic, enabling consistent data linkage across all sheets. This allows:
- Seamless integration of data across cradle, use, and grave stages
- Support for both single-product and comparative LCA studies
- Improved traceability and validation across datasets
Embedded Intelligence Layer
Beyond structure, the framework integrates a logic layer that enhances data reliability:
- Validation rules to detect missing or inconsistent entries
- Completeness tracking to monitor data readiness
- Standardized input formats using dropdown-driven workflows
- Comparative logic to support multi-product analysis
Designed for Real-World LCA Workflows
This framework is not theoretical. It is designed to operate in real consulting, industrial, and research environments where data quality, consistency, and time efficiency are critical. By combining structural clarity with embedded intelligence, the DEISO LCA Data Collection System™ transforms data collection into a controlled, scalable, and professional process.
Cradle and Grave Structure in the DEISO LCA Data Collection System™
In this template, the cradle stage is not handled as one standalone worksheet. It is distributed across the operational sheets where upstream life cycle data naturally belongs, while the dedicated Cradle sheet serves as an interpretive reference layer. Likewise, the grave stage is mainly handled through the End_of_Life and Logistics sheets, with the separate Grave sheet functioning as a guidance and mapping layer.
How “Cradle” Is Handled
The cradle stage is distributed across the following sheets:
BOM_Packaging — upstream raw materials, components, packaging inputs
Logistics — inbound transport linked to upstream supply
Manufacturing — factory process operations, utilities, yields, waste, and direct emissions
How “Grave” Is Handled
The grave stage is mainly handled through the following sheets:
End_of_Life — collection, treatment, disposal, recovery, and credits
Logistics — waste transport linked to end-of-life flows
Framework_Overview — structural explanation of life cycle stage allocation
Cradle-Associated Sheets and Block Names
• Interpretation and structural mapping sheet for upstream stage placement
BOM_Packaging
• Raw material and input composition blocks
• Product and packaging composition sections
Logistics
• Inbound raw material transport section
Manufacturing
• Process operations and yield section
• Utilities, emissions, water use, and manufacturing waste section
Grave-Associated Sheets and Block Names
• Interpretation and structural mapping sheet for end-of-life stage placement
End_of_Life
• Collection / deconstruction section
• Waste transport summary section
• Waste processing and recovery section
• Final disposal section
• Recovery credits / avoided burdens section (optional)
Logistics
• Waste transport section linked to grave flows
This structure allows the workbook to represent cradle-to-grave life cycle logic through functional data placement rather than isolating each stage into only one data-entry worksheet.
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Download the DEISO EPD Data Collection Framework Template (A1–D)
A ready-to-use, professional template designed to collect structured EPD data from your clients across A1–D life cycle modules.
Built for consultants and organizations developing Environmental Product Declarations aligned with ISO 14025 and Product Category Rules (PCRs).
Share this framework directly with your clients to standardize data collection, reduce inconsistencies, and accelerate the development of high-quality, verification-ready EPDs.
What This Template Enables
- Structured A1–D data collection aligned with ISO 14025
- Clear mapping to Product Category Rules (PCRs)
- Reduced client data inconsistency and errors
- Faster preparation of verification-ready EPD datasets
- Standardized workflow for consultants and organizations
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