Covered Information

At least during the pilot phase, the following information is covered and regularly updated. In this document, “impact-related information” refers to the qualitative and quantitative information listed below.

Target Social Issue Domains

Multiple categories are available, and their use is recommended based on purpose. (During the pilot, only a minimal set of categories is introduced; expansion is planned.)

  • UN SDGs
  • GIIN Impact Category
  • Impact Categories – impactlake™

Target Information

Qualitative Information

Issue Maps & System Diagrams

Comprehensive, visual representations of social issues and their interrelationships. Includes initial company/organization disclosures, with progressive expansion as more information is provided.

Logic Models

Visual, comprehensive representations of the pathways for social issue resolution (impact creation). Includes initial disclosures, with gradual expansion as more information is provided.

Quantitative Information

The platform mainly includes data linked to impacts and social issues. (Coverage is not yet comprehensive at the pilot stage but will expand based on feedback and growing needs.)

KPIs & Metrics

Indicators showing the extent of impact creation (excluding actual numerical data), including:

  • metrics published/developed under frameworks like IRIS+
  • metrics published/developed by initiatives in each domain
  • additional metrics collected from practical cases

Reference & Design of Calculation Formulas

Defines how KPIs are calculated or estimated, including:

  • formulas used in impact-weighted accounting
  • formulas in other practical examples.

Linked Data

Quantitative data used to calculate or inform metrics, including:

  • Global major statistics (World Bank, UN, OECD, etc.)
  • National major statistics (e-Stat, Eurostat, etc.)
  • Disclosures by companies/organizations
  • Publicly available academic publications supporting measurement and evaluation

Balancing Data Quantity and Quality

To simultaneously collect a broad range of data while ensuring its reliability, the platform implements (or plans to implement) the following mechanisms:

Incentives

Users are awarded points for providing, entering, and verifying data. The quantity and quality of data are dynamically evaluated (e.g., widely applicable, high-quality data that is referenced by many receives more points). This ensures contributors benefit from the actual value of the information rather than merely the effort of uploading. See the “Points Program” section for details.

Priority for Official Accounts

In particular, regarding corporate disclosures and similar information, three patterns are anticipated at the initial stage:

  1. The parties themselves (information owners), such as companies or organizations, enter the information directly into the platform.
  2. A third party (a company or organization other than the information owner) enters the information into the platform.
  3. The platform administration collects the information in an aggregated manner and enters it into the platform.

Among these, case1 is always given the highest priority, and it is explicitly indicated as an official disclosure by the party. (Conversely, in the other cases, the data is considered open data without any specific labeling.)

Linking/Verification of Certifications

The platform can indicate when data has external certification/assurance, and, if verified, label it accordingly. Paid functionalities may further enhance reliability of processes and disclosures (see the sections of each function).