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  • 1
    UID:
    gbv_183880580X
    Format: 1 Online-Ressource (30 pages)
    Series Statement: Policy Papers
    Content: The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016. The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the 'global data commons'), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP
    Additional Edition: Erscheint auch als Druck-Ausgabe Overarching Strategy on Data and Statistics at the Fund in the Digital Age Washington, D.C. : International Monetary Fund, 2021 ISBN 9781498307314
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    edoccha_9960178427202883
    Format: 1 online resource (30 pages) : , illustrations.
    ISBN: 1-4983-0795-7
    Series Statement: Policy Papers ; IMF publications ; Volume 2018, Issue 012
    Content: "The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016.The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the "global data commons"), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP.".
    Note: Glossary -- INTRODUCTION AND OVERALL APPROACH -- FIGURES -- INTEGRATION INNOVATION AND INTELLIGENCE -- AGILITY IN IDENTIFYING DATA NEEDS -- THE GLOBAL DATA COMMONS -- SUPPORTING THE USE OF BIG DATA THROUGH STATISTICAL INNOVATION -- SECURE SEAMLESS ACCESS AND SHARING OF HIGHQUALITY DATA -- STRATEGIC PRIORITY 5 GREATER CROSSCOUNTRY DATA COMPARABILITY -- ADDRESSING DATA WEAKNESSES -- GOVERNANCE IMPLEMENTATION AND RESOURCE IMPLICATIONS -- ISSUES FOR DISCUSSION -- TABLE -- BOXES -- ANNEX.
    Additional Edition: ISBN 1-4983-0731-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    edocfu_9960178427202883
    Format: 1 online resource (30 pages) : , illustrations.
    ISBN: 1-4983-0795-7
    Series Statement: Policy Papers ; IMF publications ; Volume 2018, Issue 012
    Content: "The first data and statistics strategy for the Fund comes at a critical time. A fast-changing data landscape, new data needs for evolving surveillance priorities, and persisting data weaknesses across the membership pose challenges and opportunities for the Fund and its members. The challenges emerging from the digital revolution include an unprecedented amount of new data and measurement questions on growth, productivity, inflation, and welfare. Newly available granular and high-frequency (big) data offer the potential for more timely detection of vulnerabilities. In the wake of the crisis, Fund surveillance requires greater cross-country data comparability; staff and authorities face the complexity of integrating new data sources and closing data gaps, while working to address the weaknesses noted by the IEO Report (Behind the Scenes with Data at the IMF) in 2016.The overarching strategy is to move toward an ecosystem of data and statistics that enables the Fund and its members to better meet the evolving data needs in a digital world. It integrates Fund-wide work streams on data provision to the Fund for surveillance purposes, international statistical standards, capacity development, and data management under a common institutional objective. It seeks seamless access and sharing of data within the Fund, enabling cloud-based data dissemination to support data provision by member countries (e.g., the "global data commons"), closing data gaps with new sources including Big Data, and improving assessments of data adequacy for surveillance to help better prioritize capacity development. The Fund also will work with policymakers to understand the implications of the digital economy and digital data for the macroeconomic statistics, including new measures of welfare beyond GDP.".
    Note: Glossary -- INTRODUCTION AND OVERALL APPROACH -- FIGURES -- INTEGRATION INNOVATION AND INTELLIGENCE -- AGILITY IN IDENTIFYING DATA NEEDS -- THE GLOBAL DATA COMMONS -- SUPPORTING THE USE OF BIG DATA THROUGH STATISTICAL INNOVATION -- SECURE SEAMLESS ACCESS AND SHARING OF HIGHQUALITY DATA -- STRATEGIC PRIORITY 5 GREATER CROSSCOUNTRY DATA COMPARABILITY -- ADDRESSING DATA WEAKNESSES -- GOVERNANCE IMPLEMENTATION AND RESOURCE IMPLICATIONS -- ISSUES FOR DISCUSSION -- TABLE -- BOXES -- ANNEX.
    Additional Edition: ISBN 1-4983-0731-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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