World Development Report 2021 : Data for better lives.

Format:

Book

Author/Creator:

World Bank, World.

World Bank (Washington, District of Columbia), author.

Series:

World Bank e-Library.

World development report, 01635085

Language:

English

Subjects (All):

Big data--Developing countries.

Big data.

Data protection--Developing countries.

Data protection.

Economic development.

Economics--Research--Developing countries--Methodology.

Economics.

Economics--Research--Methodology.

Information technology--Economic aspects--Developing countries.

Information technology.

Physical Description:

1 online resource (pages cm)

Edition:

1st ed.

Other Title:

World Development Report 2021

Place of Publication:

Washington, D.C. : The World Bank, 2021.

System Details:

data file

Summary:

The unprecedented growth of data and its ubiquity in our daily lives signal that the digital revolution is transforming the world. But despite this growth, much of the value of data remains untapped, waiting to be realized. Data collected for one particular purpose has the potential to generate economic value in applications far beyond those originally anticipated. However, many barriers stand in the way of such beneficial reuse of data, ranging from misaligned incentives and incompatible data systems to a fundamental lack of trust. The World Development Report 2021: Data for Better Lives will explore the tremendous potential of the changing data landscape to improve the lives of poor people, but also to open backdoors that can harm individuals, businesses, and societies. The first part of the report assesses how better use and reuse of data can enhance the design of public policies, programs, and service delivery, as well as improve market efficiency and job creation through private sector growth. The second part of the report focuses on issues of governance, law, policy, and infrastructure that can help realize data's potential benefits while safeguarding against harmful outcomes. By examining these opportunities and challenges, the report aims to show how data can benefit the lives of poor people in low- and middle-income countries-- Provided by publisher.

Contents:

Cover

Title

Copyright

Contents

Foreword

Acknowledgments

Abbreviations

Overview

Advancing development objectives through data

Aligning data governance with the social contract

Moving toward an integrated national data system

Notes

References

Part I: Advancing development objectives through data

Chapter 1: Harnessing the value of data for the poor

The untapped potential of data to serve development objectives

A brief history of data

A data typology

The economics of data and political economy issues

Data for development: A conceptual framework

A data governance framework to enforce the social contract for data

Putting it all together: Establishing an integrated national data system

Organization of this Report

Spotlight 1.1: Helping communities to gain the ability to collect and analyze their own data

Spotlight 1.2: The importance of good data in helping low- and middle-income countries to manage debt during and after the COVID-19 pandemic

Chapter 2: Data as a force for public good

The central role of public intent data

Public intent data and development: Three pathways for adding value

Gaps in the coverage, quality, and usability of public intent data

Why data gaps persist: The political economy of public intent data

Realizing the potential of public intent data

Spotlight 2.1: Deploying data to curtail violence against women and girls

Spotlight 2.2: The role of international organizations in improving public intent data

Chapter 3: Data as a resource for the private sector

Creating value and solving development challenges through data-driven business models

The role of data in the production process of firms

Data-driven businesses and the technologies that help them create value.

Focus on platform firms in low- and middle-income countries

Data inputs for economic activity

The positive development impacts of data used in the production process

How use of data in the production process is transforming sectors

Some potential risks and adverse outcomes of data-driven businesses to be addressed by policy

Spotlight 3.1: The huge potential of open data for business applications

Chapter 4: Creative reuses of data for greater value

The power of repurposing and combining different types and sources of data

New insights from repurposing and combining data

Limitations in using private intent data for development

Investments in data innovations: Building a culture of data

Spotlight 4.1: Gathering, sharing, and using better data on weather, water, and climate from low- and middle-income countries

Spotlight 4.2: Making roads safer by repurposing private intent traffic data

Part II: Aligning data governance with the social contract

Chapter 5: Data infrastructure policy: Ensuring equitable access for poor people and poor countries

Data infrastructure as a source of inequity

Connecting poor people

Connecting poor countries

Conclusions and recommendations

Spotlight 5.1: How the COVID-19 pandemic has recalibrated expectations of reasonable data consumption and highlighted the digital divide

Spotlight 5.2: Data's carbon footprint

Chapter 6: Data policies, laws, and regulations: Creating a trust environment

A trust framework of data safeguards and enablers

Building safeguards for trusted data use

Creating enablers for data sharing

Recommendations for crafting a holistic legal framework

A maturity model for strengthening the legal and regulatory framework

References.

Spotlight 6.1: The evolving social contract on data: Balancing data sharing and data protection to facilitate contact tracing to control COVID-19

Spotlight 6.2: The debate over ownership of personal data

Chapter 7: Creating value in the data economy: The role of competition, trade, and tax policy

Shaping data regulation to support competition, trade, and taxation

Competition policy

Trade policy

Tax policy

Conclusion

Spotlight 7.1: Understanding the interface between data protection and competition policy

Spotlight 7.2: The role of regional and international cooperation in addressing data governance challenges

Chapter 8: Institutions for data governance: Building trust through collective action

How can institutions help govern data for development?

Data management across the data life cycle

Data governance functions

Mapping data governance functions to illustrative institutions

Data intermediation and collaboration

Making data governance institutions effective

Sustainable outcomes through inclusive multistakeholder governance

Assessing the institutional foundation through the lens of a maturity model

Spotlight 8.1: The need for a new global consensus on data: A call to action

Spotlight 8.2: Promoting citizen science in the Amazon basin

Part III: Moving toward an integrated national data system

Chapter 9: Creating an integrated national data system

Toward an integrated national data system

The vision of an integrated national data system

Realizing the vision

Boxes

O.1 Toward an integrated national data system: Country examples

1.1 What this Report means by data

1.2 Innovation in traditional surveys: A COVID-19 example in Brazil

1.3 The challenges of trading data through markets.

1.4 Using private intent data to tackle COVID-19

2.1 Six types of public intent data

2.2 The World Bank's Statistical Performance Indicators

2.3 Gender data and the COVID-19 pandemic

3.1 Technologies and methods that support data-driven decision-making and intermediation

4.1 Using cellphones to combat COVID-19

4.2 Leveraging private intent data to tackle COVID-19

4.3 Preventing illegal fishing in protected maritime areas

4.4 Using statistical methods and private intent data to improve representativeness and geospatial precision

5.1 The brain drain-ICT professionals

8.1 Uruguay's whole-of-government approach to data governance

8.2 The importance and complexity of data governance institutions: The example of digital identification systems

8.3 Increased scrutiny of and constraints on private data intermediaries

8.4 Building multistakeholder data governance into smart city initiatives through "digital democracy

9.1 Relationship between an integrated national data system and a national statistical system

Figures

O.1 How data can support development: A theory of change

O.2 A social contract for data founded on value, trust, and equity

O.3 Data governance layers at the national and international levels

O.4 The legal and regulatory framework for data governance remains a work in progress across all country income groupings

O.5 Since 1990, the global trade in data-driven services has grown exponentially and now constitutes half of trade in services

O.6 What happens in an integrated national data system?

1.1 The share of people counted in a census grew from about 1 in 10 in 1850 to 9 in 10 today

1.2 The data life cycle

1.3 Three pathways along which data can foster development

B1.4.1 Use of repurposed data to study COVID-19: Published articles, by type of private intent data used.

1.4 Data governance layers at the national and international levels

1.5 Data flow safely across all stakeholders in an integrated national data system

S1.1.1 A citizen-led method to ascertain who has authority in household decisionmaking in rural Indian villages

S1.2.1 In six years, the composition of debt has shifted dramatically

2.1 Certain data features can maximize the value of public intent data

2.2 Improving access to water: Using real-time sensor data to reduce repair time for broken hand pumps in Kenya

2.3 Gaps in geospatial datasets are especially large in lower-income countries

B2.3.1 Proportion of COVID-19 cases reported with sex-disaggregated data for 190 countries

2.4 Lower-income countries, especially those affected by fragility and conflict, have less comparable poverty data than other country groups

2.5 Lower-income countries are less likely than other countries to adhere to international bestpractice statistical standards and methodologies

2.6 A positive feedback loop can connect enablers and features of public intent data with greater development value

2.7 Most countries do not fully fund their national statistical plans

2.8 The older a country's statistical laws, the lower is its statistical performance and the less open are its data

2.9 Greater NSO independence and freedom of the press are positively correlated with better statistical performance

2.10 Data supply and demand can generate either virtuous or vicious cycles of data production and use

2.11 Policies to realize the potential of public intent data

S2.1.1 Prevalence of female genital mutilation in women ages 15-49, by country income level, 2010-19

3.1 The role of data in the production process: Pathways to development

3.2 The role of data in economic activity.

3.3 Platform firms are numerous in some lower-income countries but tend to be small.

Notes:

Includes bibliographical references.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-4648-1601-8

OCLC:

1250275634

Publisher Number:

10.1596/978-1-4648-1600-0