updated

README.md

@@ -3,7 +3,7 @@ language:
 - en
 pretty_name: IFVI Value Factors - Derivative Dataset For Analysis
 ---
-![alt text](images/graphics/3.png)
+![alt text](resources/images/graphics/3.png)
 
 [![GitHub Repository](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/danielrosehill/Global-Value-Factors-Explorer-Dataset)  
 [![Hugging Face Dataset](https://img.shields.io/badge/Hugging%20Face-Dataset-orange?logo=huggingface)](https://huggingface.co/datasets/danielrosehill/ifvi_valuefactors_deriv)  
@@ -16,7 +16,7 @@ pretty_name: IFVI Value Factors - Derivative Dataset For Analysis
 <a id="about-the-global-value-factors-explorer-dataset"></a>
 ## 🌍 About The Global Value Factors Explorer Dataset
 
-The Global Value Factors Database, released by the [International Foundation for Valuing Impacts](https://www.ifvi.org) during UN Climate Week NYC 2023, provides a set of almost 100,000 “value factors” for converting environmental impacts into monetary terms.  
+The Global Value Factors Database, released by the [International Foundation for Valuing Impacts](https://www.ifvi.org) during UN Climate Week NYC 2023, provides a set of almost 100,000 "value factors" for converting environmental impacts into monetary terms.  
 
 The GVFD covers 430 different environmental impacts across four main categories of impact: air pollution, land use and conversion, waste and water pollution . With the exception of the value factor for greenhouse gas emissions, for which a single value factor is provided ($236/tco2e), the value factors are geographically stratified (in other words, the value factors are both impact-specific and geolocation-specific).  In total, there are 268 geolocations in the dataset reflecting all the world's recognised sovereigns as well as some international dependencies. In addition, one set of value factors, air pollution, provides data at the level of US states. 
 
@@ -25,51 +25,47 @@ The GVFD covers 430 different environmental impacts across four main categories
 | Parameter             | Value                                                                                               |
 |----------------------|---------------------------------------------------------------------------------------------------------------------|
 | Value Factors        | Almost 100,000 "value factors" for converting quantitative environmental data into monetary equivalents (USD)          |
-| Geolocations         | 268 geolocations (world sovereigns plus US states - for air pollution methodology only)                               |
-| Impacts Covered      | Air pollution; GHG emissions; land use and conversion; water use and pollution; waste.                            |
-| Parameter Source Data| Global Value Factors Database as released by the International Foundation for Valuing Impacts in September 2024      |
-| License              | Licensing in accordance with IFVI, [license link](https://ifvi.org/methodology/environmental-topic-methodology/interim-methodologies/download-form-global-value-factor-database/) |
+| Geolocations         | 268 geolocations (all recognized sovereigns plus some dependencies)                                                  |
+| US States            | Value factors for air pollution at the US state level                                                                |
+| Impact Categories    | Air pollution, land use and conversion, waste, water pollution                                                       |
+| Methodologies        | Interim methodologies from IFVI                                                                                     |
 
----
-
-## Download Statistics
-
-![Download Statistics](download_statistics.png)
-## Impact Accounting
-
-![alt text](images/graphics/1.png)
-
-The value factors are intended for use by account preparers preparing financial statements which integrate their environmental and social impacts alongside their traditional financial impacts, unifying all their holistic impacts into one set of financial calculations  While the GVFD covers only environmental factors, a key part of the IFVI's mission is also developing methodologies for quantifying social impacts. 
-
- In order to fulfill their intended purpose, the value factors need to be matched with the raw quantitative environmental data which each value factor is intended to convert into monetary terms (the value factors are expressed as conversions to the US dollar).
+## 📂 Repository Structure
 
- ## Additional Use-Cases
+This repository is organized to facilitate use by policy makers, governmental actors, and other stakeholders:
 
- Note:
- 
- The following suggested additional use cases were authored by me and do not bear the formal endorsement of IFVI. 
- 
- Rather, my intention in sharing them is to stimulate thought into how the iterative process of arriving at methods of converting environmental data into monetary terms could have uses beyond impact accounting. This list is extremely non-exhaustive and many more potential interesting uses for this data can be suggested.
-
-| **Use Case**                              | **Description**                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     |
-|------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| Tax Credits                              | The value factors could provide a framework for governments to devise and implement incentives to encourage companies to a) implement robust strategies around the collection and measurement of environmental parameters, and b) encourage those doing so with reduced taxation, which could also be used to offset the cost of collection programs.                                                                                                             |
-| Comparing Financial Performance And Sustainability | There is vigorous interest from a wide variety of stakeholders in understanding the extent to which companies' environmental performance and profitability are correlated. This analysis is enabled by having a diverse range of environmental parameters that can be monetized. Given the significant variability in the environmental parameters that publicly traded companies collect and disclose, a broad array of “value factors” is particularly advantageous, as it increases the likelihood that a meaningful amount of data will be available for any given reporter. Impact accounting involves the direct integration of these value factors by account preparers; however, it is equally important for external entities, such as sector analysts and environmental lobby groups, to use these factors to create composites of financial and sustainability reporting by applying them to publicly released financial data. Publicly traded companies inherently release financial data, and an increasing number also consistently publish sustainability data in quantitative terms. Value factors serve as a bridge between these two datasets, enabling even approximations of the theorized financial effects of environmental impacts to be assessed and considered. |
-| Policy Formulation                        | In our current economic system, companies are often recused from financially contributing to mitigate environmental impacts attributed to them. Given scarce public resources and fairness concerns, many argue companies should act as financial participants in these programs. Monetizing their environmental impacts could provide a “bill” for companies' financial effects, aiding in policy arguments and garnering support for corporate responsibility as a true obligation rather than voluntary action.                              |
-
- # About This Data Project (Derivative Database)
-
- ![alt text](images/graphics/3.png)
-
-This derivative dataset was prepared by me, Daniel Rosehill, in order to facilitate the exploration and analysis of this dataset by non-commercial users.  I believe that there is a strong policy interest in the question of how companies' impacts can be properly accounted for, recognising their societal and planetary effects. 
+```
+ifvi_valuefactors_deriv/
+├── core-data/             # Primary data files - the essential content
+│   ├── by-policy-domain/  # Data organized by policy domains
+│   ├── by-region/         # Data organized by geographic regions
+│   ├── by-impact-type/    # Data organized by environmental impact type
+│   └── aggregated/        # Consolidated datasets in multiple formats
+│
+├── documentation/         # All documentation related to the dataset
+│   ├── data-dictionary/   # Explanations of data fields and values
+│   ├── methodology/       # Documentation on IFVI methodologies
+│   ├── policy-briefs/     # Policy-oriented summaries and use cases
+│   └── technical-guides/  # Technical implementation guides
+│
+├── tools/                 # Tools and utilities for working with the data
+│   ├── conversion/        # Tools for data format conversion
+│   ├── analysis/          # Analysis scripts and notebooks
+│   └── visualization/     # Visualization tools and templates
+│
+├── examples/              # Example applications using the dataset
+│
+└── resources/             # Additional resources
+    └── images/            # Images used in documentation
+```
 
-To facilitate such analysis, I undertook a data reformatting process converting the initial version of the IFVI data from its original format (`XLSM`) and providing it as extracted comma-separated value files, as well as `JSON` structured in various hierarchies, some reflecting a territorial hierarchy (i.e. by geolocation) and others reflecting an impact-first hierarchy (in other words, with the impacts as the primary level, and the geo-stratified value factors nested under them). 
+For more details on the repository structure, see [REPOSITORY_STRUCTURE.md](REPOSITORY_STRUCTURE.md).
 
-The CSV files should provide the flexibility for users to work with the data as they see fit, while the `JSON` files direct towards specific vantage points and use cases for the data. 
+## 📅 Versioning
 
-Use of the value factors is governed in accordance with the licensing terms provided by the IFVI (which, at the time of writing, provide for free usage for individual account preparers and non-commercial users.) Those looking to read the full official licence should refer to the website of the IFVI at www.ifvi.org 
+This repository reflects GVFD Version 1 (October 15th, 2024).  It is not guaranteed to be the most recent version.  Consult the IFVI website for the latest data and updates.  While this repository aims to mirror the original GVFD, using this data for official purposes requires referencing the complete IFVI documentation, which is not included here.
 
- ## 📜 Licensing
+## 📜 Licensing
 
 This derivative dataset is subject to the same terms of use as the original database, available in `license.md` at the repository root. These licensing conditions are stipulated by the International Foundation for Valuing Impacts. At the time of writing, the licensing terms provide for wide use of the data on a complimentary basis (including by account preparers) with limited exclusions to that position for those looking to integrate the data into commercial data products for which licensing charges apply. Questions regarding licensing of the database and requests for clarification regarding allowable uses and any other queries regarding compliance with the terms of their license should be referred to the IFVI.
 
@@ -185,7 +181,7 @@ For example `"Bahamas, The"` was renamed `"Bahamas"` and `"Egypt, Arab Rep."` wa
 | **Territories provided**| 197 countries                                                                                                                                                                                                                                        |
 | **Example parameters**  | Wheat - conventional, Oilseeds - conventional, Cashmere - sustainable, Forestry, Paved                                                                                                                                                                |
 | **Units**               | Hectares (for land use categories)                                                                                                                                                                                                                    |
-| **Sample datapoint**    | Land Conversion_Wheat - conventional_Lost Ecosystem Services                                                                                                                                                                                          |
+| **Sample datapoint**    | Land Conversion_Wheat - conventional_N/A for LULC_Lost Ecosystem Services                                                                                                                                                                                          |
 
 #### Land Use: Data Description:
 
@@ -197,7 +193,7 @@ For example `"Bahamas, The"` was renamed `"Bahamas"` and `"Egypt, Arab Rep."` wa
 | **Territories provided**| 197 countries                                                                                                                                                                                                                                        |
 | **Example parameters**  | Wheat - conventional, Oilseeds - conventional, Cashmere - sustainable, Forestry, Paved                                                                                                                                                                |
 | **Units**               | Hectares (ha)                                                                                                                                                                                                                                         |
-| **Sample datapoint**    | Land Use_Wheat - conventional_Lost Ecosystem Services                                                                                                                                                                                                |
+| **Sample datapoint**    | Land Use_Wheat - conventional_N/A for LULC_Lost Ecosystem Services                                                                                                                                                                                                |
 
 #### Waste: Data Description
 

REPOSITORY_STRUCTURE.md

@@ -0,0 +1,80 @@
+# Repository Structure
+
+This document outlines the organization of the IFVI Value Factors repository.
+
+## Overview
+
+The repository contains value factors for converting environmental impacts into monetary terms, derived from the Global Value Factors Database (GVFD) released by the International Foundation for Valuing Impacts (IFVI).
+
+## Directory Structure
+
+```
+ifvi_valuefactors_deriv/
+├── core-data/             # Primary data files - the essential content of the repository
+│   ├── by-policy-domain/  # Data organized by policy domains (climate, air quality, land use, waste)
+│   ├── by-region/         # Data organized by geographic regions (continents, economic zones)
+│   ├── by-impact-type/    # Data organized by environmental impact type
+│   └── aggregated/        # Consolidated datasets in multiple formats (CSV, JSON, Parquet)
+│
+├── documentation/         # All documentation related to the dataset
+│   ├── data-dictionary/   # Explanations of data fields and values
+│   ├── methodology/       # Documentation on IFVI methodologies
+│   ├── policy-briefs/     # Policy-oriented summaries and use cases
+│   └── technical-guides/  # Technical implementation guides
+│
+├── tools/                 # Tools and utilities for working with the data
+│   ├── conversion/        # Scripts for data format conversion
+│   ├── analysis/          # Analysis scripts and notebooks
+│   └── visualization/     # Visualization tools and templates
+│
+├── examples/              # Example applications using the dataset
+│   ├── policy-analysis/   # Examples for policy analysis
+│   ├── economic-impact/   # Examples for economic impact assessment
+│   └── regional-comparison/ # Examples for regional comparisons
+│
+├── resources/             # Additional resources
+│   └── images/            # Images used in documentation
+│
+└── internal/              # Internal repository management (not for public use)
+    ├── archive/           # Archived files
+    ├── backups/           # Backup files
+    ├── mgmt/              # Repository management files
+    └── private/           # Private instructions and notes
+```
+
+## Data Organization for Policy and Governmental Users
+
+The core-data directory is organized to facilitate use by policy makers and governmental actors:
+
+1. **By Policy Domain**: 
+   - Climate Policy: GHG emissions value factors
+   - Air Quality Policy: Air pollution value factors
+   - Land Use Policy: Land use and conversion value factors
+   - Waste Management Policy: Waste value factors
+   - Water Resource Policy: Water pollution and consumption value factors
+
+2. **By Region**:
+   - Continental regions
+   - Economic zones (e.g., EU, OECD, G20)
+   - Development status (e.g., developed, developing economies)
+
+3. **By Impact Type**:
+   - Health impacts
+   - Ecosystem impacts
+   - Economic impacts
+   - Social impacts
+
+4. **Aggregated Data**:
+   - Complete datasets in multiple formats
+   - Summary statistics and key indicators
+   - Benchmark values for policy reference
+
+## File Formats
+
+- **JSON**: Primary data format, suitable for programmatic access
+- **CSV**: Tabular format for spreadsheet applications and policy analysis
+- **Parquet**: Columnar storage format for efficient querying and big data analysis
+
+## Version Information
+
+This repository contains Version 1 (October 15th, 2024) of the Global Value Factors Database.

data/README.md

@@ -0,0 +1,68 @@
+# IFVI Value Factors Core Data
+
+This directory contains the core data of the IFVI Value Factors dataset. The data is organized in multiple ways to facilitate different use cases, particularly for policy makers and governmental actors.
+
+## Data Organization
+
+### By Policy Domain
+
+The `by-policy-domain` directory organizes value factors according to relevant policy areas:
+
+- **Climate Policy**: Value factors related to greenhouse gas emissions ($236/tCO2e)
+- **Air Quality Policy**: Value factors for air pollutants (PM2.5, SOx, NOx, NH3, VOC)
+- **Land Use Policy**: Value factors for different land use types and conversions
+- **Waste Management Policy**: Value factors for waste management impacts
+- **Water Resource Policy**: Value factors for water consumption and pollution
+
+This organization is particularly useful for policy makers focused on specific environmental domains.
+
+### By Region
+
+The `by-region` directory organizes value factors by geographic regions:
+
+- **Continental Regions**: Africa, Asia, Europe, North America, Oceania, South America
+- **Economic Zones**: EU, OECD, G20, etc.
+- **Development Status**: Developed economies, developing economies, least developed countries
+
+This organization facilitates regional policy analysis and international comparisons.
+
+### By Impact Type
+
+The `by-impact-type` directory organizes value factors according to the type of impact:
+
+- **Health Impacts**: Value factors for impacts on human health (e.g., Primary Health)
+- **Ecosystem Impacts**: Value factors for impacts on ecosystems (e.g., Lost Ecosystem Services)
+- **Economic Impacts**: Value factors for economic impacts (e.g., Resource Cost)
+- **Social Impacts**: Value factors for social impacts (e.g., Disamenity)
+
+This organization is useful for comprehensive impact assessments across different environmental domains.
+
+### Aggregated Data
+
+The `aggregated` directory contains consolidated datasets in multiple formats:
+
+- **Complete Datasets**: Full datasets in JSON, CSV, and Parquet formats
+- **Summary Statistics**: Key statistics and indicators derived from the value factors
+- **Benchmark Values**: Reference values for policy benchmarking
+
+These aggregated datasets provide easy access to the complete data for various analytical purposes.
+
+## Data Formats
+
+- **JSON**: Primary data format, suitable for programmatic access
+- **CSV**: Tabular format for spreadsheet applications and policy analysis
+- **Parquet**: Columnar storage format for efficient querying and big data analysis
+
+## Data Usage for Policy and Governmental Actors
+
+The value factors in this dataset can be used by policy makers and governmental actors for:
+
+1. **Policy Impact Assessment**: Monetizing the environmental impacts of policy options
+2. **Cost-Benefit Analysis**: Incorporating environmental externalities into economic analyses
+3. **Regulatory Design**: Setting appropriate levels for environmental taxes, fees, and penalties
+4. **Budget Planning**: Estimating the economic value of environmental programs
+5. **International Negotiations**: Supporting positions in international environmental agreements
+
+## Version Information
+
+This data is from Version 1 (October 15th, 2024) of the Global Value Factors Database released by the International Foundation for Valuing Impacts (IFVI).

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