Under what Conditions are Data Valuable for Development?:
Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Washington, D.C
The World Bank
2021
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate) |
Beschreibung: | 1 Online-Ressource (30 Seiten) |
DOI: | 10.1596/1813-9450-9811 |
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520 | 3 | |a Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation, increased accountability, and more. Around the world, the amount of data produced by the public sector is increasing at a rapid pace, yet their transformational impacts have not been realized fully. Why has the full value of these data not been realized yet This paper outlines 12 conditions needed for the production and use of public sector data to generate value for development and presents case studies substantiating these conditions. The conditions are that data need to have adequate spatial and temporal coverage (are complete, frequent, and timely), are of high quality (are accurate, comparable, and granular), are easy to use (are accessible, understandable, and interoperable), and are safe to use (are impartial, confidential, and appropriate) | |
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Datensatz im Suchindex
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index_date | 2024-07-03T22:27:58Z |
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language | English |
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publisher | The World Bank |
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spellingShingle | Jolliffe, Dean Under what Conditions are Data Valuable for Development? Development Data Economic Theory and Research Information and Communication Technologies Information Technology Macroeconomics and Economic Growth Public Sector Development Public Service Delivery Statistical and Mathematical Sciences Statistics |
title | Under what Conditions are Data Valuable for Development? |
title_auth | Under what Conditions are Data Valuable for Development? |
title_exact_search | Under what Conditions are Data Valuable for Development? |
title_exact_search_txtP | Under what Conditions are Data Valuable for Development? |
title_full | Under what Conditions are Data Valuable for Development? Dean Jolliffe |
title_fullStr | Under what Conditions are Data Valuable for Development? Dean Jolliffe |
title_full_unstemmed | Under what Conditions are Data Valuable for Development? Dean Jolliffe |
title_short | Under what Conditions are Data Valuable for Development? |
title_sort | under what conditions are data valuable for development |
topic | Development Data Economic Theory and Research Information and Communication Technologies Information Technology Macroeconomics and Economic Growth Public Sector Development Public Service Delivery Statistical and Mathematical Sciences Statistics |
topic_facet | Development Data Economic Theory and Research Information and Communication Technologies Information Technology Macroeconomics and Economic Growth Public Sector Development Public Service Delivery Statistical and Mathematical Sciences Statistics |
url | https://doi.org/10.1596/1813-9450-9811 |
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