openownership Goto Github PK
Name: Open Ownership
Type: Organization
Bio: Driving the global shift towards transparency and accountability in corporate ownership and control
Twitter: openownership
Name: Open Ownership
Type: Organization
Bio: Driving the global shift towards transparency and accountability in corporate ownership and control
Twitter: openownership
An alpha project combining beneficial ownership and contracting data
Babel extractors for BODS
Guidance for BODS schema development and related things
Pipeline for producing beneficial ownership statements (BODS) data from data in the Global Legal Entity Identifier Foundation (GLEIF) database.
Notebooks and code for analysing data published to the Beneficial Ownership Data Standard
Data analysis tools to help analysts, journalists and anyone wanting to examine and dive into beneficial ownership data published in line with the Beneficial Ownership Data Standard
Datasette instances to sources of beneficial ownership data published in line with the Beneficial Ownership Data Standard
Shared library intended to support building pipelines to produce beneficial ownership statements (BODS) data.
A proof-of-concept demonstrating the use of the Beneficial Ownership Data Standard in an RDF format. The objective is to show how this data can be combined with other datasets to leverage its graph nature for a series of risk & compliance use cases.
Check that your data complies with the Beneficial Ownership Data Standard (BODS) using our open source data review tool
Misc scripts and one-offs used to explore our various data sources
The Beneficial Ownership Data Standard (BODS) is an open standard providing a specification for modelling and publishing information on the beneficial ownership and control of corporate vehicles
Documentation theme for the Beneficial Ownership Data Standard.
Backup our HubSpot CRM account into a team drive in our GSuite
An example of how you could map data from Indonesia's beneficial ownership API to the Beneficial Ownership Data Standard
Pagination Generator for Jekyll 3 (enhanced replacement for the old built-in jekyll-paginate gem) ⛺
Check that your data complies with the Beneficial Ownership Data Standard (BODS) using our install our data review library to analyse files via your command line interface
Backup our Notion workspace into our GDrive
OpenOwnership's Website
Open Ownership Wagtail site.
A demonstration transnational register of beneficial ownership data from the UK, Denmark, Slovakia and Armenia
Shared tools and libs required by other register repositories
Combine and deduplicate Register outputs into a single compressed file
Register Ingester DK is an application designed for use with beneficial ownership data from Denmark's Central Business Register published by the Danish Business Authority
Ingester for OpenCorporates bulk data
Register Ingester PSC is an application designed for use with the People with significant control (PSC) data published by Companies House in the UK
Register Ingester SK is an application designed for use with beneficial ownership data from the Public Sector Partners Register collected by the Ministry of Justice of the Slovak Republic
Register Sources BODS is designed for inclusion as a library for use with any Beneficial Ownership Data Standard (BODS) data source
Register Sources DK is designed for inclusion as a library for use with beneficial ownership data from Denmark's Central Business Register published by the Danish Business Authority
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.