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Our Services
Non-financial companies
Non-financial companies
  • Get a rating for your or your partner's business in minutes
  • Benchmark across regions / sectors.
  • Promote your company with an ESG badge (embed)
  • Supply chain assessment
Banks & Investors
Banks & Investors
  • Partner with us and deliver on sustainability agenda
  • Connect to your system and leverage one of the largest ESG databases
  • Fill-in gaps in your data service
  • Increase your fee revenues
Data providers
Data providers
  • Loan and portfolio risk assessment
  • Thematic assessment (air, water, soil, waste, GHG, ozone depletion, acidification...)
  • Zoom-in and out in the SDG topics
  • Connect to other dataset
Methodology
Input Data
1. Input Data
From global Pollutant Release, Transfer Registers and other official company repositories on
  • Emissions
  • Waste
  • Greenhouse gases
  • Geographic info
  • Environmental and safety fines
  • Flood risk
  • Heat Risk
  • (...)
Scientific Conversion
2. Scientific Conversion
  • Human toxicity
  • Cancer risk
  • Biodiversity
  • Global warming potential
  • Climate adaptation risk
  • Ozone depletion
  • (...)
Data Services
3. Data Services
  • API solutions
  • Data export
  • Webservice
Partnering
4. Partnering
  • Financial institutions
  • Data provider companies
  • Fund managers
  • (...)
Frameworks & Aggregation

R6 builds its data and frameworks around regulatory concepts and customer needs. Prominent examples are the Sustainable Development Goals or EU Sustainable Finance taxonomy objectives. One of the final steps in constructing R6 sustainability indices is the aggregation of indicators into hierarchical structure and headline figures. In fact, this means multiple aggregations. By using a bottom-up approach the aggregation starts with grouping the indicators into the next level of hierarchy, which is called pillar. Then pillar values values are aggregated into the higher-level sub-indices, and so on, until the final index value.

The R6 central database has three chapters:

(1) original input datasets covering facility and company information (geographic location, company details, flow information),

(2) scientific conversion models and

(3) structured rating information integrated into data solutions.

Our source information is automatically connected to regulated and supervised high-quality datasets. The fragmented international registers are transformed to make sense of data, increase the usability and populate the rating datasets. The Pollutant Release and Transfer Registers integrated into the R6 database are theoretically similarly structured, but in practice they are different. R6 team has been striving to consolidate the national PRTRs as much as possible since 2019.

Unit transformations are used to make indicators which are although similar, but measured in different units in different countries, comparable. For instance, in some cases the emission of the same pollutant is measured in kg and in other cases in grams or pounds. Under such circumstances the necessary factors are applied, e.g. 0.001 to calculate the kg equivalent of grams. Also, unit changes are necessary because in most scientific models characterisation factors are denominated by kg values (increase in morbidity per kg emitted of the given pollutant).

Characterisations are used for converting for example chemical releases to air into global warming or toxicity potentials. R6 applies the Life-Cycle-Impact-Assessment methodology and the USEtox model for calculating human toxicity potential, and other factors related to global warming, ozone depletion recommended by the U.S. Environmental Protection Agency (EPA). Impact assessments are based on the sustainability issue (pollution, waste, GHG...), on the media (air, water, soil), submedia (rural air, urban air, freshwater, seawater), on the location.

Direction adjustment is needed when input indicators are related differently to the sustainability concept. Some indicators may be considered positively (for example an increase of the recycled waste ratio is advantageous in terms of resource efficiency, while other indicators relate to sustainability negatively (imagine for example emission of Methane (CH4), a greenhouse gas with a 25 times bigger global warming potential than carbon dioxide.)
To download the Methodology, please or

Normalization is the operation of bringing indicators onto comparable scales so that they can be aggregated more fairly. Such transformation is necessary because aggregating GHG emission values (in CO2 equivalents) with recycled waste ratios (in percent) would be otherwise impossible, as one is on a completely different scale to the other. To identify peers of each facility the standardized industry classifications are used because some issues are more relevant and material to companies within the same industries.

Imputations were applied, in case data was not reported by facilities, whose emissions or other impacts were less then the reporting threshold in the background regulations. In such cases we assumed that the companies score had been as good as their best peers. R6, however, does not apply other imputations on the basis of facility/company characteristics and the adequate observed distribution in peer group.
Outliers can bias the distribution of indicators and make it heavily-skewed. This would make sectoral comparison also unreliable. R6 input data is in many cases cleaned from outliers by the authorities responsible for the collection of data and for the quality of data. Outliers can still be generated and exist because of unrecognized errors in measurement and data processing, and have to be always double-checked.Outliers can be also generated by reality but their occurrence is not necessary even across industries. Thus, R6 builds its data aggregation framework on percentile rank scores, which is not very sensitive to outliers.

In general, there exist many ways to analyze and use data, and the data in the R6 database is not an exception. Our services are tailored to the most frequent requests from our clients. Different ways to look at R6 data:
  • time (yearly changes, e.g. GHG reduction)
  • peer-group analysis (compare to industry peers, industry score)
  • pollutant releases (Chemicals Abstract Service (CAS) Registry Number or name)
  • industry comparison (industry codes NACE, NAICS etc.)
  • geographic analysis (latitude and longitude, city, province)
  • type ( release, waste disposal or transfer)
  • environmental compartment (air, water, land)
  • area information (population at risk, natural parks, flood risk, etc.)
  • company and facility information
  • estimation methods
  • activities that occur at the facility
  • sources categories (for example, fugitive emissions, spills and leaks)
  • reasons for change in reported quantities
  • comments (for example, changes to concentrations, changes to estimation methods)
  • information about stacks at facilities
  • destinations of either releases to water or transfers
  • pollution prevention plans and activities
  • breakdown of volatile organic compounds
  • concentration of substances released to water or contained in tailings and waste rock
  • unit-level information for facilities generating electricity
  • Identify environmental concerns and potential risks;
  • Support achieving SDG goals and intermediate targets and measure progress toward those targets.
  • R6 uses the best available data for its services. Still, even the best data has limits. Events or changes at facilities can alter facility data values. Some examples of changes that may affect reported quantities include:
  • changes in production levels
  • upgrades to operating practices
  • plant expansions
  • change of ownership
  • temporary or permanent closures
  • pollution prevention measures
  • accidental releases
  • To download the Methodology, please or
    About Us
    Who we are

    Our data service starts with high-quality input data integration, continues with unbiased and necessary transformations to increase usability of data, and ends with inspiring and clear presentation of results.

    Our team has been working diligently and passionately over years on efficient and practical solutions for data collection, processing and storage.

    R6 was founded in 2019. Two brothers with IT and research background started to dream about the power of numbers in sustainability.

    Why we make a difference

    Our Mission

    We believe that transparent accounting of environmental, social and governance performance in the corporate sector can make the world a better place.

    We desire to guarantee clean water, blue sky and fertile soil for all the next generations of every living organism on Earth.

    We are convinced that natural rhythms, honest and decent communication of facts & feelings can better shape our future.

    We love to deal with data, build efficient IT solutions and inspire customers to build sustainable solutions easily.

    Scientific Approach

    We build our assessment on scientifically tested models supported by regulators and supervisors (UN, Environmental Protection Agency of the United States, European Commission.)

    Our contributors published the underlying sustainability concepts and practical measurement solutions in the highest ranked academic journals

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    R6 Platform API

    The R6 platform API is a powerful HTTP REST API that provides sustainability data for companies.

    or to:

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    • Download the OpenApi 3.0 specification

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