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https://github.com/os-climate/itr-data-pipeline

Produce data for ITR tool using data from Data Commons
https://github.com/os-climate/itr-data-pipeline

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Produce data for ITR tool using data from Data Commons

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README 

        



> [!IMPORTANT]

> On June 26 2024, Linux Foundation announced the merger of its financial services umbrella, the Fintech Open Source Foundation ([FINOS](https://finos.org)), with OS-Climate, an open source community dedicated to building data technologies, modeling, and analytic tools that will drive global capital flows into climate change mitigation and resilience; OS-Climate projects are in the process of transitioning to the [FINOS governance framework](https://community.finos.org/docs/governance); read more on [finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg](https://finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg)



# ITR Data Pipeline



The OS-Climate project is building a suite of Portfolio Alignment tools, the

first of which is an [Implied Temperature Rise (ITR)](https://github.com/os-climate/ITR)

tool. The need for climate-aligned investment tools has been obvious for some time

and is articulated clearly in this [Manifesto]

()

published by Governor of Bank of England Mark Carney, Governor of Banque de France

François Villeroy de Galhau and Chair of the Network for Greening the Financial Services

Frank Elderson. Subsequently a working group developed methodology for creating a

Temperature Alignment score based on a company's usage of their fair (or not) share

of the remaining global carbon budget. The ITR tool calculates those scores based

on sector benchmarks, corporate production, emissions, emissions targets, and other

factors.



This repository contains code for generating data that can be used to demonstrate

and evaluate the ITR tool using public data. (The tool is designed so that users

can use their own data, including privately developed and proprietary data.)



The notebook [OECM-benchmark-ingest](notebooks/OECM-benchmark-ingest.ipynb) transforms

source data from the [OECM version 2 benchmark]

() into JSON source that

can be ingested by the ITR tool. Presently 14 sectors are supported (with more coming):



- Energy (Oil & Gas)

- Utilities (Power, Gas, Combined)

- Buildings (Commercial and Residential)

- Construction

- Materials (Concrete, Aluminum, Steel)

- Road Transport (Passenger Vehicles and Freight)

- Chemical Industry

- Textiles and Leather



The notebook [osc-ingest-rmi_utility_transition_hub]

(osc-ingest-rmi_utility_transition_hub.ipynb) follows the [Data Mesh pattern]

() to ingest and transform

RMI utility data published in 2022, 2023, and 2024

(with data dating back to before 2019) into reference corporate data.

See instructions in the `dbt/rmi_transform/README.md`

file for more information on activating the Data Mesh pattern.



The notebook [ITR-data-production](ITR-data-production.ipynb) synthesizes a set of

corporate data from a variety of public sources, including [GLEIF]

() legal entity identifiers, [SEC financial disclosures]

(), [US Census data]

(), [RMI-curated production data]

(), and some hand-curated

sources as well.



Most importantly, this pipeline puts the financial, production, emissions, and

other data into Trino so that the ITR can access it via the [Data Commons]

().



A logical (and welcomed) next step would be to curate this data within our Trino

database (with proper metedata descriptions for all data, not just RMI Utility

Transition Hub data).



If you have questions, please file [Issues]

(). If you have answers,

please contribute [Pull

Requests](https://github.com/os-climate/itr-data-pipeline/pulls)!