LCA and PCF data for every raw material behind your pharma portfolio

Choose from Carbon Minds’ comprehensive life cycle database for chemical substances and benefit from streamlined modeling services for everything that’s missing.

WHY NOW?

Pharma environmental requirements are becoming more concrete

New standards and procurement requirements are increasing the need for reliable environmental data.

PAS 2090

Pharma-specific product category rules

Published in November 2025, PAS 2090 provides product category rules for environmental life cycle assessments of pharmaceutical products.

France

Environmental criteria in public procurement

The Score Carbone Médicament has been introduced as a public methodology to support the environmental comparison of offers for the same medicine. In addition, environmental criteria have been mandatory in all new French public tenders since August 2026.

United Kingdom

The NHS supplier roadmap progresses

The NHS expands its global emissions reporting requirements from April 2027 and plans requirements for carbon footprinting of individual products from April 2028.

For most sustainability teams, the challenge isn't the reporting itself, but the data behind it.

KEY CHALLENGES

Why closing pharma data gaps is difficult

01

Data availability

Pharma companies use thousands of highly specialized substances, often produced in very small quantities. Suppliers frequently cannot provide emissions data, and most of these substances are missing from common LCA databases.

02

Data quality

Even where suppliers or secondary data sources provide data, its quality is often hard to judge. Poor input data can become a strategic liability for your environmental assessments.

03

Patchwork of data sources

Supplier data, database entries, proxies, and one-off models often follow their own methodologies. Combining them in an unsystematic way may work for passing individual audits, but it can compromise results in ways that are difficult to foresee.

Fit-for-purpose data

Not every data gap needs the same level of modeling

The right level of data quality depends on what the results need to support. A hotspot screening may work with documented proxies, while product-level reporting or externally reviewed results can require more representative data. We match the modeling effort to the material and intended use.

 

PAS 2090 follows the same principle by linking data-quality requirements to the goal and scope of a pharmaceutical LCA.

HOW WE CAN HELP

Identify, specify and fill your pharma data gaps

Our 3-step approach helps you understand where data is missing, define the level of data quality you need and fill the remaining gaps with fit-for-purpose data.

Identify

Start with a free mapping. We identify direct matches in the Carbon Minds database and explore suitable proxies for remaining gaps, giving you a first structured view of your data coverage.

Specify

Together, we assess which gaps matter most for your reporting goals and where more representative data is worth the additional effort.

Fill

We fill your gaps with high-quality data from the Carbon Minds database, model missing datasets where better quality is needed, and use representative proxies for less critical materials.

Step 3 in Detail: Fill

Different pathways, one goal: fit-for-purpose data.

Core

Carbon Minds database

Start with ready-to-use, high-quality life cycle data for chemical substances. Wherever your raw materials have a direct match in our database, no additional modeling is needed.

Covers

Streamlined

Streamlined modeling

Cost-efficient datasets for missing substances, built on accepted modeling approaches and our chemical and process engineering expertise.

Covers

Detailed

Tailored modeling

For materials that need extra consideration or where standard approaches fall short, we use a more tailored modeling approach, either for you or together with you.

Covers

Proxy

Scalable proxy selection

Proxies chosen with systematic, well-documented methods that are accepted in the industry. Ideal for less critical raw materials, hotspot analysis, and screening-level results.

Covers

Not sure which level fits your materials?

Good data is essential for assessments, to facilitate discussions with suppliers, and to capture the impact of reductions.

Jens Plambeck,

Senior Manager Supplier Decarbonization

Bayer

Not ready for a call yet?
Start here.

On-demand webinar

Pharma LCA & PAS 2090: Closing Data Gaps Before New Requirements Take Effect

Learn how to identify, specify and fill pharma data gaps with fit-for-purpose data.

YOUR EXPERT CONTACT

Dr. Leif Rohrbach

Project & Pharma Lead

Leif develops Carbon Minds’ activities in the pharmaceutical sector and leads sustainability projects from initial scoping to implementation. His focus is on connecting pharma sustainability requirements with the realities of chemical value chains and helping companies build robust, scalable data foundations.

 

FAQ

Who are Carbon Minds’ pharma LCA and PCF data services for?

The data services are designed for pharmaceutical and life-science companies that need to assess portfolios containing hundreds of specialized raw materials, many of which are not covered by common LCA databases.

 

Carbon Minds helps close these gaps with ready-to-use data from our database, additional modeling for missing substances, and representative proxies where appropriate. This is particularly relevant for pharmaceutical manufacturers and marketing authorization holders (MAHs), CDMOs, API and excipient manufacturers, and suppliers of packaging and single-use systems working on Product Carbon Footprints (PCFs) and Life Cycle Assessments (LCAs).

What happens in the free 30-minute data mapping call?

We review your current mapping approach and main data challenges, discuss expected coverage, and explore options for missing substances. No data sharing is required for the first call, although a small material sample with CAS IDs can be helpful.

 

If the service fits your needs, we can then carry out a free mapping of your raw materials against the Carbon Minds database. You receive a structured analysis showing which materials are covered directly by our database and where suitable proxies are available.

Which level of data quality do we need?

That depends on your goal and on the material. Data-quality requirements differ between hotspot screening, internal decision-making, product-level reporting, and externally reviewed or public claims. Scalable proxy selection can be sufficient for less critical raw materials. Where more representative data is needed, start with the Carbon Minds database and use streamlined modeling for missing substances. For materials that need extra consideration or where standard approaches fall short, we use a more tailored modeling approach. Book a free 30-minute data mapping call to find out which level fits your materials.

Can the data be used for PAS 2090?

Yes. The Carbon Minds Database V2.03 (2026) is suitable for use in PAS 2090:2025-compliant studies, as certified by TÜV Rheinland.

PAS 2090:2025 sets strict standards for data quality, transparency, and representative background data across the pharmaceutical product life cycle. We support your compliance across the upstream chemical value chain by providing:

Granular, Representative Data: Technology- and region-specific datasets for chemicals and pharmaceutical precursors.

Certified Foundation: A TÜV-verified methodology aligned with ISO 14040, ISO 14044, and ISO 14067 for audit-defensible PCF and LCA studies.

Closed Data Gaps: Streamlined and tailored modeling for specialized substances missing from common LCA databases.

Audit Readiness: Fully documented, high-quality data designed to stand up to third-party audits and regulatory scrutiny.

Why not rely on supplier data?

High-quality primary supplier data is typically the first choice for reporting, but it is often unavailable. Focus your data collection on where it matters most and complement it with quality-assured secondary data.

How transparent are the results?

Assumptions, proxies and modeling choices are documented transparently so results can be reviewed, reproduced and audited.

Is Carbon Minds data certified?

The Carbon Minds database is built on a methodology certified by TÜV Rheinland for compliance with ISO 14040, ISO 14044 and ISO 14067, as well as additional standards and guidelines, including the Together for Sustainability (TfS) PCF Guideline, WBCSD and the GHG Protocol Product Life Cycle Standard. The methodology also supports compliance with PAS 2090:2025. View the TÜV certificate.

Pharma knowledge hub

Learn more about pharma LCA

Guide

PAS 2090 Pharma LCA Data Gap Visual Guide

Three questions to determine data quality, prioritize material modeling, and close remaining data gaps at scale.

On-Demand Webinar

Pharma LCA & PAS 2090: Closing Data Gaps Before New Requirements Take Effect

Identify missing emission factors, prioritize the gaps that matter and choose the right modeling depth for different pharmaceutical raw materials.

On-Demand Webinar

Recent Advances in Environmental Life Cycle Data for Pharmaceuticals

Insights from Bayer and Carbon Minds on retrosynthesis, AI and hybrid modeling approaches to expand data coverage for pharmaceutical chemicals.

Close your pharma data gaps with the right approach.

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