Medicine Carbon Footprint (MCF) Dataset - Active Pharmaceutical Ingredients

医薬品原薬のカーボンフットプリント（MCF）データセット (AI 翻訳)

Haroon Taylor, Nazneen Rahman

Zenodo (CERN European Organization for Nuclear Research)データセット2026-05-29#Scope 3Origin: Global経営インパクト: 調達リスク対象セクター: pharma

DOI: 10.5281/zenodo.20340728

原典: https://doi.org/10.5281/zenodo.20340728

🤖 gxceed AI 要約

日本語

本データセットは、医薬品原薬（API）の製造・製剤化におけるカーボンフットプリント値を提供する。2,907のAPIについてkgCO2e/kgAPI単位で収録し、査読付き手法MCF Classifierに基づく。製薬企業のScope 3排出量算定に活用可能。

English

This dataset provides carbon footprint values for the manufacture and formulation of 2,907 active pharmaceutical ingredients (APIs) in kgCO2e per kgAPI, using the peer-reviewed MCF Classifier methodology. It enables pharmaceutical companies to estimate Scope 3 emissions from purchased APIs.

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

医薬品業界ではサプライチェーン排出量の算定が重要視されており、本データセットは日本企業がSSBJ対応のScope 3「購入した製品・サービス」カテゴリを算定する際の基礎データとして有用。

In the global GX context

The dataset addresses a critical gap in Scope 3 accounting for the pharmaceutical sector, supporting global disclosure frameworks like TCFD/ISSB by providing transparent, peer-reviewed emission factors for APIs.

👥 読者別の含意

🔬研究者:Researchers in carbon accounting and pharmaceutical sustainability can use this as a benchmark for API emission factors.

🏢実務担当者:Corporate sustainability teams in pharma can directly apply these values for Scope 3 reporting and product carbon footprints.

🏛政策担当者:Regulators can reference this dataset to develop sector-specific emission factors for pharmaceutical supply chains.

📄 Abstract（原文）

About this dataset This dataset contains carbon footprint values for the manufacture and formulation of active pharmaceutical ingredients (APIs) used in medicines. The values were calculated using MCF Classifier, a published, peer-reviewed methodology for estimating the carbon emissions of small molecule medicines, created by Haroon Taylor and Nazneen Rahman at YewMaker. This record includes the following files: Medicine Carbon Footprint (MCF) Dataset - Active Pharmaceutical Ingredients 2026 v1.0.xlsx mcf_api_2026_v1.0.csv MCF API Dataset 2026 v1.0 - README.pdf MCF API Dataset 2026 v1.0 - CSV Data Dictionary.pdf MCF API Dataset 2026 v1.0 - Methods and Scope.pdf For most users, the Excel workbook will be the best place to start. It includes carbon footprint values for 2,907 APIs in kgCO2e / kgAPI. For system users, the CSV file will usually be more appropriate. Please note: The API carbon footprint values can be used for APIs from any manufacturer or country, because carbon footprint values are assigned at the level of the API, not the supplier-specific product. Update cycle This MCF API Dataset is updated annually. This Zenodo record defaults to the most recent version of the dataset. Earlier versions remain available. Related dataset For cradle-to-gate medicine product carbon footprint values that include the API, excipients, and primary packaging please see the MCF Product Dataset. Licence and attribution This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. You are free to use and share the data, provided appropriate attribution is given as follows: If you have used data from this specific dataset version, please cite as:Taylor, H., & Rahman, N. (2026). Medicine Carbon Footprint (MCF) Dataset - Active Pharmaceutical Ingredients [Data set]. YewMaker. https://doi.org/10.5281/zenodo.20340728. If you wish to refer to the MCF API Dataset more generally, including all versions, please use the overarching concept DOI and cite as:Taylor, H., & Rahman, N. (YYYY). Medicine Carbon Footprint (MCF) Dataset - Active Pharmaceutical Ingredients [Data set]. YewMaker. https://doi.org/10.5281/zenodo.20340727 (accessed DD MM YYYY) Disclaimer This dataset is provided “as is” without warranties of any kind, including as to accuracy, completeness or fitness for a particular purpose. Users are responsible for determining whether the dataset is suitable for their intended use. This dataset is not a clinical decision-making tool and has not been validated for clinical use. It does not constitute medical, legal or other professional advice. For full licence terms, see here.

🔗 Provenance — このレコードを発見したソース

openalex https://doi.org/10.5281/zenodo.20340727first seen 2026-06-23 05:33:31 · last seen 2026-06-23 05:34:13

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