Global Report: Enhancing Government Effectiveness and Transparency - The Fight Against Corruption

Page 291

PART II KEY INSTRUMENTS FOR FIGHTING CORRUPTION

CHAPTER 9 BENEFICIAL OWNERSHIP TRANSPARENCY

BOX 9.2

The Beneficial Ownership Data Standard (BODS) Legal and beneficial ownership information consists of data about individuals, companies, and other legal entities and arrangements, and data about the relationship between them. Effectively identifying these elements requires a range of data points. To make this information open and accessible requires that the data be published in an open format that is standard across jurisdictions. A group of experts in anti-money laundering, company data, and data standardization have developed a tool that meets these requirements. This data tool is intended to help policy makers design beneficial ownership disclosure systems that fulfil the accountability goals of the disclosure requirement while balancing data protection and privacy considerations. The Beneficial Ownership Data Standard (BODS) is a framework for representing information about people, companies, and relationships as structured data, in a standardized format that can be replicated across countries and systems. The BODS expresses this information as statements that can be linked together into a “claim about beneficial ownership made by a particular source at a particular point in time.” The necessary elements to identify a beneficial ownership relationship are summarized in the table below. The Beneficial Ownership Data Standard includes the following elements: Data about individuals

Data about companies

Data about relationships

• Name

• Name

• Official identifiers, like tax ID

• Official identifiers, like official registration numbers

• The type of relationship, e.g. shareholding, voting rights

• Nationalities and tax residencies • Date and place of birth • Place of residency and contact address • Whether they are a politically exposed person

• Jurisdiction in which the company is registered • Founding and dissolution date • Address

• The level of interest, e.g. percentage of shares held, and whether it’s held directly or indirectly through another entity • Start and end date of the relationship

The complete data standard can be found at: https://standard.openownership.org/en/v0-2-0/index.html

Across all categories of data, it should be clear to users if a piece of information is missing, and why it is missing—for instance, that it was not reported, or that the company is exempt from reporting. Missing data is also important information, and may raise a red flag to reviewers or law enforcement, for instance, if a company of interest has failed to adequately report its beneficial ownership, or if a company of interest has not updated a beneficial ownership disclosure for a long time. Statements should also come with certain metadata— data about data—that enables users to understand when the statement was made and where it originated. That way, users can tell if the information is recent and from a reliable source.

Enhancing Government Effectiveness and Transparency: The Fight Against Corruption

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Box 13.6 Trade of Influence in the Judiciary

55min
pages 362-386

Box 13.5 Court User and Multi-Stakeholder Justice Surveys

3min
page 361

Box 13.3 Specialized Anti-Corruption Courts in the Philippines and Indonesia

2min
page 358

Box 13.4 International Cooperation and Mutual Legal Assistance (MLA

6min
pages 359-360

Box 13.2 Specialized Anti-Corruption Courts: Political Commitment or Implementation Gaps

2min
page 357

Box 10.1 The Extent of Corruption

2hr
pages 303-354

Box 13.1 Romania’s National Anti-Corruption Directorate (DNA

6min
pages 355-356

Box 9.2 The Beneficial Ownership Data Standard (BODS

5min
pages 291-292

Box 9.3 Key Data Questions for Policy Makers to Consider

25min
pages 293-302

Table 7.4 AP’s Transformational Technologies

53min
pages 251-270

Box 9.1 What is a Beneficial Owner?

15min
pages 286-290

Figure 8.2 Final Findings of ANI Reports between 2008 and 2019

15min
pages 279-285

Table 7.2 Major Technology Trends for Public Sector Fraud and Corruption

16min
pages 243-247

Box 6.2 The Extractive Industries Transparency Initiative (EITI

13min
pages 219-223

Table 7.3 Navigating GovTech for Public Sector Fraud and Corruption

8min
pages 248-250

Box 7.2 Singapore’s SkillsFuture Program and Fraud Detection

2min
page 241

Box 7.1 Brazil’s Tribunal of Accounts Robots

2min
page 240

Box 6.1 What Does Open Data Have to Do with Open Government?

9min
pages 216-218

Figure 6.1 Unpacking Open Government

1min
page 215

Table 5.1 Corruption in Public Services: Estimating the Magnitude of the Problem

2min
page 190

Box 4.1 Standard Operating Procedures and Internal Audit Capacities in Latin America

2min
page 166

Figure 4.3 ACD Presence and Main Transit Trade Routes

1min
page 178

Box 4.3 Donor Support to Afghanistan Customs Department

2min
page 179

Box 2.5 Transparency in Renegotiation for Public-Private Partnerships

2min
page 117

Box 3.1 About Empresas Públicas de Medellin

6min
pages 140-141

Box 3.3 The Impact of Operation Car Wash across Latin America

2min
page 145

Figure 2.7 Causes of Renegotiation, based on 48 Projects that experienced Renegotiation

5min
pages 115-116

Figure 1.2 Change in Corruption Risk Indicators as a result of the e-GP Intervention

55min
pages 75-93

Box 2.4 The Open Contracting for Infrastructure Data Standard (OC4IDS

6min
pages 102-103

Box 2.1 IFC’s Integrity Due Diligence (IDD

10min
pages 94-97

Figure 2.6 Making Infrastructure Data Useful for Planners, Implementers and Policy Makers

19min
pages 106-113

Figure 2.5 Multi-Stakeholder Working at the Project Level

2min
page 105

Box 2.2 The Evolution of Multi-Stakeholder Approaches to Accountability in Infrastructure

2min
page 99

Box 2.3 The Role of the CoST Secretariat

1min
page 100

Box 1.1 Timeline on Somali National Army Rations Re-tendering

16min
pages 68-73
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