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List of open data, open standards, open source tools and resources relating to global data interoperability and accessibility which have been created by members of the Global Open Data Integration Network.
The Global Open Data Integration Network (GODIN) is a collaborative effort to enhance global data interoperability and accessibility by connecting organisations that publish open data or create open data standards and aligning data to a global framework like the Global Legal Entity Identifier (LEI) System.
A repository containing a collection of Jupyter notebooks demonstrating practical use cases of LEI data. Each notebook focuses on a specific topic and provides example code to help data users explore, analyse, and apply LEI data effectively.
Demonstrating the benefits of maintaining a native mapping between GLEIF, Open Ownership and OpenSanctions data to create a comprehensive network of entity information while applying AI to enrich structured data with information extracted from annual reports.
The LEI is the starting point for achieving a globally connected network of verifiable, interoperable business identity and information. It is a unique 20-character alphanumeric code that enables anyone, anywhere in the world, to access clear, unique identification data about a legal entity.
LEI mapping is critical in ensuring interoperability across parallel ID platforms. By linking widely used identifiers to globally recognized LEIs directly from their respective data sources, GLEIF and its partners are transforming fragmented identifiers into a connected, open network. Identifiers that the LEI is already mapped to include: SWIFT's Business Identifier Code (BIC) and Marketer Identifier Code (MIC); the Association of National Numbering Agencies' International Securities Identification Number (ISIN); S&P Global Market Intelligence's S&P CIQ Company ID; OpenCorporates' IDs; and Qichacha's QCC code.
GLEIF maintains several code lists referred to in the Common Data File (CDF) formats and provides a standard process for identifying and incorporating updates to these code lists.
The Beneficial Ownership Data Standard (BODS) is the world's leading open standard providing a specification for modelling and exchanging information on the beneficial ownership and control of companies, trusts and other types of entities and arrangements. Visit standard.openownership.org to discover full documentation in English, French, Spanish and Russian.
Beneficial ownership tools from Open Ownership and Open Data Services demonstrating the value of producing data in line with the Beneficial Ownership Data Standard.
The Global Energy Ownership Tracker provides information on the chain of ownership for various energy projects. The data maps each level of the chain from the direct owner (as in, the lowest-level identified owner in the chain of ownership) up to their highest-level ultimate parents (e.g., corporations, investment firms, and governments).
Global Energy Monitor is a part of the Climate TRACE coalition, connecting open data on global emissions back to the companies who own greenhouse gas-emitted locations across the globe.
Measuring how countries around the world perform on: 1) The collection and availability of real estate data; and 2) AML regulation of the real estate sector.
The Anti-Corruption Data Collective brings together leading journalists, data analysts, academics and policy advocates to expose and undermine corruption.
The Media Ownership Monitor is a global research and advocacy initiative that creates transparency on "who owns the media?" — and ultimately answers the question "who controls the media?" through contextualisation and analysis. It provides the public an easily accessible, continuously updated and searchable source that allows them to find out whose interests are behind the news they watch, read or listen to.
GMIs are part of an open and scalable infrastructure of identifier systems and indicators that aim to safeguard the transparency, responsibility and accountability of online content and its sources. The purpose of this document is not to replace existing standards and indicators, but to add a holistic and global framework with a view of harmonising them.
FollowTheMoney (FtM) is a data model for financial crime investigations and document forensics. It contains definitions of the entities relevant in such research (like people or companies) and tools that let you generate, validate, and export such data easily. Entities can reference each other, creating a graph of relevant relationships. The ontology defined by FtM also includes a model for various types of documents that might be used as evidence in investigations.
Open source platform that securely stores large amounts of data and makes it searchable for easy collaboration.
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List of open data, open standards, open source tools and resources relating to global data interoperability and accessibility which have been created by members of the Global Open Data Integration Network