Governing the carbon data life cycle
カーボンデータライフサイクルのガバナンス (AI 翻訳)
Jaehyun Park
🤖 gxceed AI 要約
日本語
建築環境セクターのネットゼロ目標に向け、デジタルツインが運用炭素管理に採用されているが、情報引き継ぎ時の「データ健忘症」が信頼性を損なう。本研究はISO 19650に基づく炭素データガバナンスフレームワークを提案し、調達ライフサイクルに「炭素データ要件」を統合。ecoinvent等のLCIデータソースやEN15804計算境界を契約上定義し、IFC4等のオープン標準を用いた「引渡しゲート」でデータ非準拠をゼロとする。デジタルツインを受動的可視化から能動的「ガバナー」へと再定義する。
English
This paper addresses 'data amnesia' in digital twins for operational carbon management in the built environment. It proposes a carbon Data Governance Framework based on ISO 19650, integrating explicit Carbon Data Requirements into the procurement life cycle. By mandating LCI data sources (e.g., ecoinvent) and calculation boundaries (e.g., EN 15804) using ISO 22057 data templates and open standards (e.g., IFC4), it enforces a zero-tolerance policy for data non-compliance via a 'Handover Gate'. The framework transforms digital twins from passive visualization tools into active 'Governors' of environmental data.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の建設・不動産セクターでは、国土交通省のBIM推進やZEB普及が進む中、カーボンデータの一元管理は喫緊の課題。本フレームワークはISO19650（情報管理）とISO22057（データテンプレート）を組み合わせ、日本のBIM標準や統合報告書における炭素情報開示に直接応用可能。特に「引渡しゲート」の概念は、有報でのScope1,2,3データの品質保証に示唆を与える。
In the global GX context
Globally, this work directly contributes to the TCFD/ISSB agenda by operationalizing carbon data quality in asset-level reporting. The framework's alignment with ISO 19650 and open standards (IFC4) makes it scalable for international construction projects, supporting CSRD and SEC climate disclosure requirements. It addresses a critical gap in digital twin research by moving from visualization to active data governance, with implications for transition finance and green building certifications.
👥 読者別の含意
🔬研究者:Offers a structured approach to integrating carbon data governance into information management frameworks, bridging BIM and LCA research.
🏢実務担当者:Provides a contractual and technical template (Carbon Data Requirements, Handover Gate) to ensure carbon data quality across project lifecycles.
🏛政策担当者:Demonstrates how ISO standards can be leveraged to enforce carbon data integrity in building regulations and disclosure mandates.
📄 Abstract（原文）
As the built environment sector accelerates towards net-zero targets, digital twins are increasingly adopted for operational carbon management. However, their reliability is often undermined by “data amnesia” (i.e., the loss of source and boundary context during information handover), where critical environmental context—such as specific Life Cycle Inventory (LCI) data sources and Environmental Product Declarations—is lost during the transition from design to operation. To address this integrity gap, this study proposes a carbon Data Governance Framework grounded in ISO 19650 information management principles. This study introduces explicit “Carbon Data Requirements” integrated directly into the procurement life cycle. By augmenting widely used industry references, specifically the Centre for Digital Built Britain’s guidance on Asset and Exchange Information Requirements, the research demonstrates how qualitative sustainability goals can be translated into machine-readable execution rules. Specifically, the framework mandates the contractual definition of LCI data sources (e.g., ecoinvent) and calculation boundaries (e.g., EN 15804) by utilising ISO 22057 data templates and open standard exchange formats (e.g., IFC4). This approach establishes a “Handover Gate” that enforces a zero-tolerance policy for data non-compliance, ensuring that the Project Information Model is authored with validated carbon attributes before evolving into the Asset Information Model. Ultimately, this study redefines the digital twin from a passive visualisation tool into an active “Governor” of environmental data, offering a practical roadmap for converting static documents into a dynamic, statistically coherent sustainability management system.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1201/9781003751663-7first seen 2026-07-16 05:27:08
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