> For the complete documentation index, see [llms.txt](https://open-data-charter.gitbook.io/open-up-guide-using-open-data-to-combat-corruption/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://open-data-charter.gitbook.io/open-up-guide-using-open-data-to-combat-corruption/section-3-making-use-of-open-data/prevention.md). # Prevention Prevention involves actions, mechanisms and tools that reduce corruption risks, or increase the costs of corruption in ways that deter corrupt activity. Open data can be used in prevention across a range of sectors. ## In the private sector In the financial sector, governments have increasingly introduced Know Your Customer (KYC) regulations that require banks and other financial institutions to conduct due diligence checks what taking on a new client, or processing funds. Firms entering into new deals may also wish to carry out due diligence on potential business partners. These checks often involve: * Identifying the owners and beneficial owners of a company client; * Checking clients and their owners against a list of politically exposed persons or public officials; * Checking clients and their owners against court records; At present, these checks are often carried out using ‘black box’ private due diligence services. These services are often expensive (banks may pay-per-search), and often rely on a limited range of sources, such as media coverage, to flag up potential client risks. If the media have not reported on a given corruption case in the past, the due diligence databases might have a blind spot. As more information becomes available as open data, and if government and private firms demand better quality due diligence, then there is scope for innovation in how these processes take place. However, it is important to note that many regulations and businesses processes for due diligence rely on documentary evidence. An entry in a dataset may need to be backed up by other sources of evidence before a bank or financial institution will make a due diligence decision based on it. | **Case study: Open Ownership** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | The OpenOwnership.org project is working to build a global database of beneficial ownership data, drawing on existing published data, and self-submitted information from companies and beneficial owners.Beneficial ownership refers to “the natural person or persons who ultimately owns or controls a customer and/or a natural person on whose behalf a transaction is being conducted. It also includes those persons who exercise ultimate effective control over a legal person or arrangement.”Knowing the beneficial owner(s) of an asset is vital to be able to truly follow the money, and see through layers of shell companies and complex ownership structures. Some jurisdictions are now introducing registers of beneficial ownership, requiring companies and land registrations to provide details of their ultimate beneficial owners.By combining data from different national registers, using a common Beneficial Ownership Data Standard (currently under development) and allowing self-submission of data OpenOwnership it is aiming to provide a ready-to-use source of information for due diligence.The project is being developed as a multi-stakeholder partnership involving Transparency International, One, the Open Contracting Partnership, the World Wide Web Foundation, Global Witness and The B Team. | | *Sources: Guidance on Transparency and Beneficial Ownership, Financial Action Task Force, October 2014,* [*http://www.fatf-gafi.org/media/fatf/documents/reports/Guidance-transparency-beneficial-ownership.pdfInterview*](http://www.fatf-gafi.org/media/fatf/documents/reports/Guidance-transparency-beneficial-ownership.pdfInterview) *with Chris Taggart, from OpenCorporates.OpenOwnership.org* | | The Anti-Corruption Open Up Guide | ## **In the public sector** When interest and asset disclosures are filed on paper, it can be easy for politicians and officials to leave out certain disclosures, and simply hope these will not be detected. But when disclosures are published as structured data, it becomes easier to cross-reference between the information provided in a disclosure, and the information held in other sources, such as the company register. This increase the complexity and costs of hiding information, and creates a pressure for more accurate disclosures. | **Case study: ProZorro** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Ukraine’s public procurement system was once notorious for corruption and inefficiency. [Since launching ProZorro](http://www.open-contracting.org/why-open-contracting/showcase-projects/ukraine/), the country’s open source, open data e-procurement system the government has saved 14% on its planned spending (more than 300 million Euros) and seen a 50% increase in companies bidding for contracts - helping build business and citizen trust in the government process. | | The Anti-Corruption Open Up Guide | | **Case study: 3 x 3** | | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Proactive publication of structured data about interests and assets is relatively rare. More often, declarations are made on paper forms, or hosted on scattered websites of each institution. To respond to this challenge in Mexico, Transparecia Mexicana and partners launched the ‘3 of 3’ campaign calling on politicians and public officials to publish three key declarations using structured templates and covering their: **Statement of assets; Interest declarations;** and **Tax returns**. | | At the moment, officials need to provide this information directly to the 3 of 3 campaign, who then re-publish it in semi-structured forms. However, the information is captured using Excel templates, offering opportunities for further analysis and cross-linking of declarations. | | The Anti-Corruption Open Up Guide | --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://open-data-charter.gitbook.io/open-up-guide-using-open-data-to-combat-corruption/section-3-making-use-of-open-data/prevention.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.